# DATAFOREST DATAFOREST Reviews (29), Pricing, Services & Verified Ratings - Premier Verified - 5.0 out of 5 average review rating - 4 connections joined DATAFOREST's Network [Visit Website](https://dataforest.ai/?utm_source=clutch.co&utm_medium=referral&utm_campaign=directory) [Get a Custom Proposal](https://clutch.co/profile/dataforest) **Your AI & Data Engineering Partner** **Welcome to the forefront of AI and Data Engineering solutions** **where innovation merges seamlessly with your business goals.** Our team specializes in guiding organizations through the AI adoption journey. We collaborate closely with you to assess your unique needs, develop tailored AI strategies, and seamlessly integrate AI technologies into your existing systems. By leveraging the capabilities of AI, we empower your organization to enhance efficiency, foster innovation, and achieve sustainable growth. **W** **ith 15 years behind us, we've mastered a multitude of domains** **:** - AI-powered Web Applications - Advanced Data Analytics and Predictive Modeling - Scalable Data Gathering from Multiple Sources - Seamlessly Integrating and Managing Complex Datasets - Designing and Implementing ETL Pipelines and API Solutions - BI Insights and Dynamic Dashboards - Machine Learning and Natural Language Processing (NLP) - Automating and Optimizing eCommerce Ecosystems - Streamlining Operational Efficiency through Intelligent Process Automation - Enabling DevOps Excellence in AI and Data Science Environments ## Company Information - Minimum project size: $10,000+ - Hourly rate: $50 - $99 - Number of employees: 50 - 249 - 2 Locations: - Kyiv, Ukraine (Headquarters) - Tallinn, Estonia - Founded in 2018 - 1 languages: English - 1 timezones: Eastern European Time (EET) ## Services, Focus Areas, Industries, and Clients ### Service Lines - 35% AI Development - 35% BI & Big Data Consulting & SI - 10% AI Agents - 10% AI Consulting - 10% Web Development ### Focus Areas - AI Expertise: - 70% AI Recommendation Systems - 15% Machine Learning - 15% Natural Language Processing - AI Consulting Focus: - 60% AI Strategy - 20% AI Deployment - 20% AI Maturation - BI & Big Data Solutions: - 50% Microsoft BI & data solutions - 50% Other BI & data solutions - BI & Big Data Focus: - 45% Operations & process improvement - 35% Other BI & analytics - 10% Data Compliance, Fraud & Risk Management - 10% Marketing analytics ### Industries - 10% Medical - 10% Information technology - 20% Retail - 20% Advertising & marketing - 30% eCommerce - 10% Financial services ### Clients - 35% Small Business (<$10M) - 60% Midmarket ($10M - $1B) - 5% Enterprise (>$1B) ## Pricing Snapshot Average rating for cost based on this provider's reviews: 4.9 out of 5 **What Clients Have Said** *(This summary is based on verified Clutch reviews.)*: DATAFOREST offers competitive pricing, fitting various client budgets. Engagements range from $8,000 to $460,000, indicating flexibility for small to large projects. Clients appreciate the value for cost, timely delivery, and effective communication, emphasizing their expertise and responsiveness. **Most Common Project Size**: $10,000 to $49,000 based on 24 reviews *(Pricing information for this provider is based on reviews where the project size was available.)* ### Pricing by Service - Custom Software Development: $10,000 to $49,000 based on 12 reviews - BI & Big Data Consulting & SI: $10,000 to $49,000 based on 9 reviews - Other IT Consulting and SI: $10,000 to $49,000 based on 4 reviews - Web Development: $50,000 to $199,999 based on 4 reviews - AI Development: $10,000 to $49,000 based on 3 reviews - API Development: Confidential based on 2 reviews - AI Consulting: $10,000 to $49,000 based on 2 reviews - Data Annotation Services: $10,000 to $49,000 based on 1 review - E-Commerce Development: $10,000 to $49,000 based on 1 review - Generative AI: $10,000 to $49,000 based on 1 review - Digital Engineering: $50,000 to $199,999 based on 1 review - Computer Engineering: $10,000 to $49,000 based on 1 review - Cloud Consulting & SI: $10,000 to $49,000 based on 1 review - Application Testing: Confidential based on 1 review ## Reviews Clutch investigates each reviewer's identity and work history. Every review goes through a rigorous, human-led verification process to confirm the reviewer's identity, and reviews that we verify are visibly marked as 'Verified' so you can trust that they come from a real client. [Learn More](https://help.clutch.co/en/knowledge/how-clutch-verifies-reviews) ### DATAFOREST Review Insights Overall Review Rating: 5.0 - Quality: 5.0 - Schedule: 4.9 - Cost: 4.9 - Willing to Refer: 4.9 ### Top Mentions - Timely (14 mentions) - Communicative (10 mentions) - Proactive (5 mentions) - Unique expertise (5 mentions) - Efficient (4 mentions) - Detail-oriented (3 mentions) - High-quality work (3 mentions) - Knowledgeable (3 mentions) - Professional (3 mentions) - Transparent (3 mentions) - Creative (2 mentions) - Exceeds expectations (2 mentions) - Experienced (2 mentions) - Great project management (2 mentions) - Honest (2 mentions) - Accessible (1 mentions) - Accommodating (1 mentions) - Flexible (1 mentions) - Great team (1 mentions) - Well-organized projects (1 mentions) ### Review Highlights **Effective Use of Agile Methodology** DATAFOREST effectively utilizes Agile methodology, ensuring projects are completed within set timelines. Their structured approach to project management is highlighted as a key factor in their successful deliveries. **Consistent Delivery of High-Quality Outputs** DATAFOREST consistently delivers high-quality outputs that meet or exceed client expectations. Their attention to detail and commitment to quality are frequently praised by clients. **High Availability and Responsiveness** Clients appreciate DATAFOREST's high availability and responsiveness, even outside of regular working hours. This level of commitment enhances client trust and satisfaction. **Areas for Improvement in Initial Scoping** While generally positive, some clients noted that initial project scoping could be improved to anticipate additional features and reduce scope changes later. A more structured discovery phase may help in this regard. **Client-Centric Approach and Transparency** The company's client-centric approach and transparency in operations are key strengths. Clients feel informed and involved throughout the project lifecycle, enhancing trust and collaboration. **Positive Impact on Client Business Performance** Several clients reported significant positive impacts on their business performance due to DATAFOREST's solutions, including increased efficiency, reduced costs, and improved decision-making capabilities. **Innovative Solutions and Flexibility** DATAFOREST is recognized for its innovative approach to problem-solving and flexibility in adapting to client needs. They offer creative solutions and are willing to explore cost-effective alternatives to deliver maximum value. **Expertise in Data Engineering and Automation** DATAFOREST is highly regarded for its expertise in data engineering, creating efficient data pipelines, AI integration, and automation processes. Clients appreciate their technical skills in handling complex data challenges across various industries like finance, marketing, and automotive. **Challenges with Communication Efficiency** A few clients mentioned that while communication is generally good, there could be improvements in communication efficiency and frequency to ensure all parties are aligned and informed timely. **Proactive Problem Solving and Initiative** Clients appreciate DATAFOREST's proactive approach to problem-solving and initiative in offering solutions that address both current and potential challenges. This forward-thinking mindset sets them apart. ### DATAFOREST Reviews #### Data Consulting Services for Technology Advisory Firm (Featured Review) **The Project** - Services: BI & Big Data Consulting & SI - Project size: Less than $10,000 - Project length: Nov. 2023 - Ongoing **Project Summary**: DATAFOREST was hired by a technology advisory firm for their data consulting services. The team is responsible for managing data and making it accessible through BigQuery. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Managing Partner & Founder, Technology Advisory Firm - Industry: Sports - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Aug 15, 2024 **Feedback Summary**: DATAFOREST's work has been met with positive acclaim, thanks to their regular cadence of delivery. The team is highly receptive from a workflow standpoint, and internal stakeholders are impressed with the service provider's consistent availability. ""If we ever have issues, DATAFOREST is quickly on hand to resolve them."" **BACKGROUND** Please describe your company and position. I am the Managing Partner and Founder of a sports company Describe what your company does in a single sentence.We're an advisory with a difference. Utilising proprietary technology, data and third-party platforms to serve our partners better. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Acquiring data from third-party platforms **SOLUTION** How did you find DATAFOREST?Online SearchClutch SiteWhy did you select DATAFOREST over others?High ratingsPricing fit our budgetGood value for costHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Acquiring data from third-party platforms on a regular cadence and making it available on Big Query **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Regular, accurate data deliveryDescribe their project management. Did they deliver items on time? How did they respond to your needs?Things don't always go according to plan, but if we ever have issues, DATAFOREST is quickly on hand to resolve them.What was your primary form of communication with DATAFOREST?Email or Messaging AppWhat did you find most impressive or unique about this company?Ability to contact them regardless of the time of the day or day of the week.Are there any areas for improvement or something DATAFOREST could have done differently?No improvements needed. --- #### AI Support Platform Dev for Telecommunication Provider **The Project** - Services: AI Development, API Development - Project size: Confidential - Project length: May 2026 - Ongoing **Project Summary**: DATAFOREST has built an AI support platform for an Australian telecom provider. The delivery has included a standalone system, a response review dashboard, an API, and a vector database for the knowledge base. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Co-Founder, Telecommunications Company - Industry: Telecommunications - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Jul 9, 2026 **Feedback Summary**: The AI draft responses have been on brand and have answered common support questions for the end client. The client has been very pleased with the accuracy and fit. DATAFOREST has managed the work well, has shared updates throughout the engagement, and has held weekly meetings with the client. "“They were a perfect company to work with.”" **BACKGROUND** Introduce your business and what you do there.I am the Co-Founder of an Australian telecom provider offering friendly, customer-focused mobile services with an emphasis on sustainability and a fresh approach compared to larger competitors. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with DATAFOREST?We wanted to integrate AI into assisting with replies from our ticketing platform, with the goal of improving customer support. **SOLUTION** What was the scope of their involvement?The main deliverables were delivering an AI platform that can handle our specific use cases based on customer and service data. The platform is also standalone, allowing us to integrate it into any future support integration. The project included full infrastructure with a dashboard to assess AI responses and provide feedback, an API for our platforms to integrate with, and a vector database for importing our knowledge base.How did you find DATAFOREST?Online search.Why did you select DATAFOREST over others?We chose DATAFOREST because of their high ratings and pricing that fit our budget.What is the status of this engagement?The project started in May 2026 and is ongoing.How many teammates from DATAFOREST were assigned to your project?There were 2-5 people from DATAFOREST assigned to our project. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?The draft responses from the AI are tonally on brand and able to answer questions satisfactorily. While the AI was never meant to replace human support, it can solve the most commonly asked support questions, which will improve customer satisfaction. We are still fine-tuning the responses, but they are as accurate and on-brand as our own. Going forward, we plan to focus on the reduction in additional customer responses as a key metric.What was your primary form of communication with DATAFOREST?We primarily communicated through virtual meetings and email or messaging apps.How did DATAFOREST perform from a project management standpoint?DATAFOREST were amazing at managing the project and delivering it on time. They updated us every step of the way and held weekly meetings to discuss feedback.What did you find most impressive about them?They were very proactive in reaching out to confirm and make sure everything was on track and met expectations.Are there any areas they could improve?They were a perfect company to work with. --- #### Chrome Extension & Web App Development for Fashion Startup **The Project** - Services: Custom Software Development, E-Commerce Development, Web Development - Project size: $10,000 to $49,999 - Project length: Apr. - June 2025 **Project Summary**: DATAFOREST developed a Chrome extension and web app for a fashion startup. The web app featured a visual canvas where stylists could move, resize, arrange product cards, and manage multiple projects. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.5 - Willing to Refer: 5.0 **The Reviewer** CEO, Revife - Industry: Retail - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Jun 24, 2025 **Feedback Summary**: DATAFOREST's efforts saved 15 minutes per order through automated processes and streamlined workflows. The team demonstrated excellent project management and communication. DATAFOREST exceeded the client's expectations with a collaborative approach and the ability to think strategically. ""They've made us feel like we have a dedicated technical team extension rather than just an external vendor."" **BACKGROUND** Please describe your company and position.I am the CEO of RevifeDescribe what your company does in a single sentence.Revife is an innovative fashion startup that offers personalized style boxes filled with second-hand and sustainable retail clothing, curated by expert stylists, where customers can keep what they love and return the rest for free. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Replace fragile manual processes: Eliminate our mistake-sensitive workflow that required stylists to juggle multiple systems and manual data entry with a robust, integrated solution.Create visual styling capabilities: Develop a visual canvas where stylists can see and arrange actual product images in real-time, which is crucial for fashion styling work.Enable scalability through automation: Implement automated pricing calculations, seamless data flow, and custom Shopify integration to handle higher order volumes without proportional increases in administrative overhead. RetryClaude can make mistakes. Please double-check responses. **SOLUTION** How did you find DATAFOREST?ReferralWhy did you select DATAFOREST over others?Referred to meHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The scope of work involved developing a comprehensive style board system with two main components. First, a Google Chrome extension that injects "add to board" buttons on both Sellpy.com and our Revife.nl Shopify store product pages, allowing stylists to seamlessly add products to their styling boards while automatically synchronizing Sellpy products with the shopping cart. Second, a web application featuring a visual canvas where stylists can move, resize, and arrange product cards, manage multiple projects, and work with an Order Board that includes four distinct outfit sections with automated pricing calculations (selling price = 0.6 × before price for Sellpy products), product categorization (Z, O, or blank designations), and Shopify integration for automatic product information population.Key deliverables include:Chrome extension compatible with both Sellpy and Revife websitesWeb application with visual styling canvas and project management capabilitiesOrder Board functionality with outfit sections, automated pricing, and product categorizationConfirmation system displaying product details organized by outfit with summary calculationsData integration that exports structured order data to datasets with specified columns (Order date, Stylist, Order, Outfit, platform source, pricing details, product information)User authentication system for individual stylist accountsComplete documentation and user guides for the styling teamThe system replaces manual processes with an integrated solution that saves approximately 15 minutes per order while providing the visual interface essential for effective fashion styling work. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Time efficiency: 15 minutes saved per order through automated processes and streamlined workflowError reduction: Significant decrease in manual data entry errors due to automated Shopify integration and visual confirmation screensScalability metrics: Ability to handle increased order volumes without proportional increases in stylist administrative timeProcess consolidation: Reduction from multiple fragmented systems to one integrated platform for the entire styling workflowCurrent project progress indicators:Detailed requirements successfully defined and documentedTechnical architecture planned for both Chrome extension and web application componentsData integration structure established for seamless information flowUser workflow optimization designed to eliminate previous pain pointsWe will be able to provide concrete performance metrics and ROI measurements once the system is deployed and we have operational data from actual stylist usage in our production environment.Describe their project management. Did they deliver items on time? How did they respond to your needs?DATAFOREST has demonstrated excellent project management throughout our collaboration. Their communication has been exceptionally detailed and proactive - they consistently reach out with updates, clarifications, and progress reports without us having to prompt them. We particularly appreciate their initiative in scheduling regular meetings to ensure alignment and address any questions or concerns promptly.What stands out most is their ability to think collaboratively with us as the client. Rather than simply executing our initial requirements, they actively engage in problem-solving and offer valuable insights that improve the overall solution. When we introduced additional features and modifications to the scope (including preview boards, exchange functionality, and payment automation), they worked with us to understand the business context and provided thoughtful recommendations on implementation approaches.Their responsiveness to our needs has been outstanding. When we needed to restructure the project scope to create a more minimal MVP while moving other features to add-ons, they quickly adapted their planning and provided updated documentation. They've also been flexible in accommodating our evolving requirements as our business needs became clearer throughout the planning process.The team has consistently delivered planning documents and technical specifications on time, and their detailed Work Breakdown Structure demonstrates thorough preparation for the development phase. Their willingness to explore cost-effective alternatives, such as JSON storage options to reduce development complexity, shows they genuinely care about delivering value within our budget constraints.Overall, DATAFOREST has exceeded our expectations in terms of project management, communication quality, and collaborative partnership approach.What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?What impressed us most about DATAFOREST was their genuine collaborative approach and ability to think strategically about our business needs rather than just executing technical requirements. When we presented them with our initial concept, they didn't simply accept it at face value - they asked thoughtful questions about our workflow, understood the challenges our stylists face, and actively contributed ideas to improve the solution.Their adaptability stood out significantly. As our requirements evolved throughout the planning process - adding preview functionality, exchange boards, and payment automation - they never treated these as problematic scope changes. Instead, they embraced each addition as an opportunity to create a more comprehensive solution and helped us think through the implications and best implementation approaches.We were particularly impressed by their technical honesty and transparency. When discussing data storage options, they proactively suggested JSON storage as a more cost-effective alternative to Google Sheets integration, clearly explaining the trade-offs and potential savings. This demonstrated they prioritize delivering value to the client over maximizing project complexity.Their communication style is uniquely detailed and proactive. Rather than waiting for us to ask questions, they anticipate our needs and provide comprehensive updates and explanations. The level of documentation they produce - from detailed SOWs to thorough Work Breakdown Structures - shows a commitment to clarity and professionalism that sets them apart.Most importantly, they truly understand that successful software development requires partnership, not just technical execution. They've made us feel like we have a dedicated technical team extension rather than just an external vendor.Are there any areas for improvement or something DATAFOREST could have done differently?Overall, our experience with DATAFOREST has been very positive, but if we had to identify areas for improvement, it would be around initial project scoping and requirement gathering. While we appreciate their flexibility in accommodating our evolving requirements, it might have been beneficial to have a more structured discovery phase upfront to anticipate some of the additional features we later requested. --- #### Gen AI & Big Data Consulting & SI for HR Software Company **The Project** - Services: AI Consulting, BI & Big Data Consulting & SI, Generative AI - Project size: $10,000 to $49,999 - Project length: Apr. 2024 - Ongoing **Project Summary**: DATAFOREST provides ongoing generative AI integration services for an HR software company's platform. The team is also responsible for creating ETL pipelines and integrating third-party applications. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Product Marketing Manager, Amploo - Industry: Other industries - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Aug 26, 2024 **Feedback Summary**: DATAFOREST’s solution has been received positively by the client, exceeding their expectations. The team has delivered effectively and organized all communication via virtual meetings, email, and messaging apps. Their unique approach to organizing deliveries has impressed the client. ""DATAFOREST has exceeded our expectations."" **BACKGROUND** Please describe your company and position.I am the Product Marketing Manager of AmplooDescribe what your company does in a single sentence.Amploo is a versatile collaborative solution catering to HR management and team collaboration. It handles HR aspects like employee onboarding, benefits administration, and time off tracking. Beyond HR, it integrates task management, time tracking, collaboration tools, analytics, document management, and more.  **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Build an integration layer connecting us with 3d party apps;Integrate Gen AI for improving customer experience. **SOLUTION** How did you find DATAFOREST?Online SearchWhy did you select DATAFOREST over others?We have heard about Dataforest before. Within the intro call, they showed a high level of expertise.How many teammates from DATAFOREST were assigned to this project?3Describe the scope of work in detail. Please include a summary of key deliverables.To bring seamless onboarding for our clients, we required to make integrations with several 3d party applications; we also have to make ETL pipelines to ensure proper data transfer in our environment. While working on the project, we added another scope of work for Gen AI integration. We want to make our platform manageable via chat/voice communication.  **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?We had 2 phases. 1st was about making integrations. We received all the codebase and manuals. Dataforest team made testing and solution deployment to our production environment. 2nd phase was about AI adoption, so there we had more or less the same approach, but after initial development, they were working closely with us to find the solution. Describe their project management. Did they deliver items on time? How did they respond to your needs?They took a two-week sprint approach. We had access to the dev stage and could see the progress. The PM organized all communication and effective delivery. What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?It was interesting and a bit different from other vendors how Dataforest organizes solution delivery, attracting internal experts to bring ideas and set hypotheses while core work is being done by the dev teamAre there any areas for improvement or something DATAFOREST could have done differently?DATAFOREST has exceeded our expectations. --- #### Cloud SI & AI & ETL Pipeline Dev for Software Company **The Project** - Services: AI Development, Cloud Consulting & SI, Custom Software Development - Project size: $10,000 to $49,999 - Project length: Feb. - July 2024 **Project Summary**: DATAFOREST provided AI agent development services for a software company. The team was responsible for building an architecture for a Snowflake data lake and creating several ETL pipelines. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Executive, Perfsol - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Aug 13, 2024 **Feedback Summary**: DATAFOREST delivered each project phase on time and within budget. The team communicated effectively via in-person and virtual meetings, email, and messaging apps. Their unique delivery approach based on consulting and engineering impressed the client, resulting in a positive engagement. "''We are happy with their results.''" **BACKGROUND** Please describe your company and position.I am an executive of PerfsolDescribe what your company does in a single sentence.Perfsol provides full-cycle software development from prototype to market-ready web and mobile apps and ongoing support. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?We require expertise in data architecture to build complex Data LakeHelp us to build effective data pipelines for our clientsDevelop a number of AI agents to automate workflow with Gen AI **SOLUTION** How did you find DATAFOREST?ReferralWhy did you select DATAFOREST over others?High ratingsClose to my geographic locationPricing fit our budgetGreat culture fitReferred to meHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.We required data engineering and AI expertise within our development process. The project targets were scoped into three parts:The first one is preparing data architecture for the Snowflake data lake.The second one is developing several ETL pipelines.The last one is creating a chain of AI agents to automate workflow with Gen AI. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?For each project goal, we received deliverables, in time and budget, so it was : Preapred Data lake architecture. Automated ETL pipelines.Set of AI agents that covers the initial requirementDescribe their project management. Did they deliver items on time? How did they respond to your needs?We had a project manager from the Dataforest side. Maryna organized effective communication and information flow between 2 teams. We get deliverables mostly in time, based on the initial budget! We are happy with their results. What was your primary form of communication with DATAFOREST?In-Person MeetingVirtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Dataforest's unique delivery approach is based on consulting and engineering. The team effectively allocates internal experts, such as Data architects and solution architects, to assist with projects. Are there any areas for improvement or something DATAFOREST could have done differently?They repeatedly proposed their DevOps to us, but we didn't need them since we had our own.  --- #### PostgreSQL Configuration for Rank Tracking Solution Company **The Project** - Services: BI & Big Data Consulting & SI, Custom Software Development - Project size: $10,000 to $49,999 - Project length: Dec. 2021 - Oct. 2022 **Project Summary**: DATAFOREST helped a rank tracking solution company fine-tune their PostgreSQL to improve their setup reliability. The project included correcting idle connections, high CPU wait times, and excessive locks. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Ranktracker - Industry: Advertising & marketing - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Jun 15, 2023 **Feedback Summary**: DATAFOREST successfully identified issues with the client's setup and proposed effective solutions, demonstrating vast expertise and professionalism. Their PostgreSQL knowledge was outstanding, as was their attention to detail and valuable insights. Moreover, they were efficient and communicative. ""From the very beginning, DATAFOREST demonstrated a high level of expertise and professionalism."" **BACKGROUND** Please describe your company and position.I am the CEO of RanktrackerDescribe what your company does in a single sentence.I'm the Co-founder of the Saas which allows users to check their website's ranking on Google and provides data on the site's rank for specific keywords and tracks their performance over time. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Tune our PostgreSQL configuration and help us improve the reliability of our master/slave setup. **SOLUTION** How did you find DATAFOREST?Online SearchWhy did you select DATAFOREST over others?High ratingsPricing fit our budgetGreat culture fitGood value for costCompany values alignedHow many teammates from DATAFOREST were assigned to this project?6-10 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.We were seeking an experienced database engineer to fine-tune our PostgreSQL configuration file and improve the reliability of our master/slave setup. The project presented several challenges, including the presence of numerous idle connections, high CPU wait times due to kernel IO processes, excessive locks reaching up to 3000, long transaction durations of up to 50 minutes, an IOPS bottleneck, and a significant delay in replica syncing due to master database overload.Dataforest not only recognized the nature of these issues but also proposed effective solutions for each of them. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?"From the very beginning, DATAFOREST demonstrated a high level of expertise and professionalism. They quickly identified the weaknesses in our current configuration, especially the issues causing the slave to fall behind during peak times and struggle to catch up. Their in-depth knowledge of PostgreSQL configuration files and their willingness to assist our development team, who had limited experience in this area, greatly impressed us.Dataforest's implementation of monitoring systems, specifically Prometheus for Linux and Postgres metrics, and Grafana for master and slave dashboards, significantly improved our ability to monitor and analyze the database performance in real-time. Also, we were impressed with the attention to detail and the comprehensive insights provided through these monitoring tools, enabling us to make informed decisions and quickly address any potential issues."Describe their project management. Did they deliver items on time? How did they respond to your needs?The project was efficiently planned, executed according to the schedule, and all deadlines were successfully met.What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?One notable aspect of Dataforest's approach was their commitment to transparency and communication. They provided detailed reports on the work done, including the time spent on each task, ensuring that we were continuously updated on the progress of the project.Are there any areas for improvement or something DATAFOREST could have done differently?"DATAFOREST team expertise, dedication to problem-solving, and excellent communication make them an invaluable partner. With their assistance, we have achieved significant improvements in our database reliability." --- #### Data Extraction Script for Automotive Standardization Org **The Project** - Services: Custom Software Development - Project size: Confidential - Project length: Jan. - Feb. 2023 **Project Summary**: An automotive standardization organization hired DATAFOREST to extend an existing script for UML data extraction. The team worked on a Python script that extracts data from XML files into AsciiDoc files. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Technology Manager, Automotive Standardization Organization - Industry: Automotive - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Mar 13, 2023 **Feedback Summary**: The client was happy with DATAFOREST's high-quality deliverables. The team incorporated the changes requested, fixed bugs on time, and communicated efficiently, ensuring a good project management experience. Moreover, their professionalism contributed to the project's success.  ""The project management team was easy and fast to communicate."" **BACKGROUND** Please describe your company and position. I am a Technology Manager of (a/an) Automotive Describe what your company does in a single sentence. Our company focuses on standardizing the data exchanges between the many tools used in the process to develop and validate vehicles, their components, and their control systems. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish? Script development for UML data extraction **SOLUTION** How did you find DATAFOREST? Online Search Why did you select DATAFOREST over others? High ratings Good value for cost What was the size of DATAFOREST’s team? 2-5 Employees Describe the scope of work in detail. Please include a summary of key deliverables. Data within one XML file shall be extracted to several AsciiDoc files by a python script and stored in a folder structure in the file system. AsciiDoc files are text files with the file extension .adoc. The XML file that shall be used for input contains exported data of an UML model. The UML model was exported from an Enterprise Architect 2.5 binary file using the XML export format XMI 1.1. This project is based on a script developed for a project in May 2021. This script shall be extended. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success? Several deliveralables during project run time Bug fixes and requests for changes were incorporated on time Describe their project management. Did they deliver items on time? How did they respond to your needs? The project management team was easy and fast to communicate. What was your primary form of communication with DATAFOREST? Virtual Meeting Email or Messaging App What did you find most impressive or unique about this company? Professionalism, communication and high-quality of deliverables Are there any areas for improvement or something DATAFOREST could have done differently? No. --- #### Custom Software Dev for Digital Marketing Agency **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: Nov. 2022 - Ongoing **Project Summary**: A digital marketing agency hired DATAFOREST to develop a data-driven dashboard. They used AWS architecture, including RedShift and Lambda, to build a collection of connectors between multiple data systems. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Director of Software Development, Digital Marketing Agency - Industry: Advertising & marketing - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Feb 13, 2023 **Feedback Summary**: DATAFOREST consistently delivered on scope, on time, and on budget. They communicate incredibly well and give helpful suggestions throughout the course of the project. The client is impressed with the team's project management, regular collaboration, responsiveness, and industry knowledge.  ""Their communication was great, and their ability to work within our time zone was very much appreciated."" **BACKGROUND** Please describe your company and your position there. I'm the Senior Developer / Team Lead for a full-service digital marketing agency that exceeds client expectations and grows businesses with data-driven marketing solutions that resonate with consumers. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire DATAFOREST, and what were your goals? We had to integrate a number of disparate data sources from a vendor with a complex mix of proprietary systems into a data warehouse. Our end goal was to produce a data-driven dashboard for business decisions. Our goal in hiring DATAFOREST was to rapidly develop the connections so that our team could focus on the dashboard. **SOLUTION** How did you select this vendor and what were the deciding factors? We found DATAFOREST through Upwork. They submitted the most comprehensive response to our initial request, along with an impressive portfolio of projects. From our initial conversation, it was clear that DATAFOREST would be a good long-term partner for data projects. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. The used AWS architecture, including RedShift and Lambda, to build a collection of connectors between multiple data systems, and helped implement a connector between RedShift and Domo for the purposes of reporting. How many people from the vendor's team worked with you, and what were their positions? We worked with 4 people, including a sales and account management specialist, the owner, and two project managers. I know other internal resources worked on the project, but our project managers did a very good job handling that communication. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? DATAFOREST consistently delivered on scope, on time, and on budget. They communicated incredibly well and made helpful suggestions through the course of the project. Describe their project management style, including communication tools and timeliness. I'm very impressed with the project managers at DATAFOREST who collaborated regularly with our team via Slack. They were very responsive and had a broad knowledge of the solution we built. What did you find most impressive or unique about this company? Their communication was great, and their ability to work within our time zone was very much appreciated. Are there any areas for improvement or something they could have done differently? Payment was a little bit difficult at first, but we have a lot of understanding for that because the war in Ukraine is likely impacting payment options. --- #### Custom Software Dev for Cloud and DevOps Service Provider **The Project** - Services: Custom Software Development - Project size: $50,000 to $199,999 - Project length: Jan. 2022 - Ongoing **Project Summary**: DATAFOREST is tasked with developing a web platform for a cloud and DevOps service provider's managing and reporting needs. They also handle the business and technical analysis of the project. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Advascale - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Sep 14, 2022 **Feedback Summary**: By collaborating with DATAFOREST, the company has finished the project's first phase and is now scoping out new activities. Agile approaches and targeted results have led to a productive experience. Their planning strategies and high expertise in data engineering make them stand out. ""They have the best data engineering expertise we have seen on the market in recent years."" **BACKGROUND** Please describe your company and your position there. We are Cloud and DevOps Consultants. Advascale builds and optimizes scalable and easily manageable IT infrastructures. I’m a co-founder and the CEO of the company. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire DATAFOREST, and what were your goals? We were looking for a mix of expertise in web development and advanced knowledge in data engineering. **SOLUTION** How did you select this vendor and what were the deciding factors? We were looking for a team or a company that we could rely on to help us with a client's project. We were building infrastructure, but we had no deep expertise in Data Engineering and Web Development. We also knew some of their clients, so we had some good recommendations. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. We've asked Dataforest to do business and technical analysis of the project, create the necessary ETL pipelines and build a web platform for managing and reporting needs. The Agile approach helped us to be in line with the timing and scope, ultimately 2 iterations of QA polished the platform. How many people from the vendor's team worked with you, and what were their positions? We were engaged with the Solution Architect, Data Engineers, React Developer, Backend (Python) Developer and Project Manager. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? We have finished the project's first phase and are scoping out new activities. Agile approaches and targeted results have made this experience productive for us. Describe their project management style, including communication tools and timeliness. The project deliverables and requirements were well defined, the project was planned perfectly, with all stages were completed within the scheduled timeframe. Communication was via emails, Slack, and calls. What did you find most impressive or unique about this company? DataForest knows what they do. They have the best data engineering expertise we have seen on the market in recent years. Beyond that, a proactive and data-driven approach has made cooperation beneficial and effective. Are there any areas for improvement or something they could have done differently? Can't think of any. We continue to work with them as technical partners. We appreciate the quality of their personnel, responsiveness, and attention to detail. --- #### Database Automation for Financial Company **The Project** - Services: BI & Big Data Consulting & SI, Other IT Consulting and SI - Project size: $10,000 to $49,999 - Project length: Dec. 2020 - Ongoing **Project Summary**: A financial company hired DataForest to automate their database reporting. They’ve automated the data extraction process and integrated it into the client’s database, streamlining the reporting process. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.0 - Cost: 5.0 - Willing to Refer: 4.5 **The Reviewer** Head of Risk Management, Investment Capital Ukraine - Industry: Financial services - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — May 19, 2022 **Feedback Summary**: The client is happy with the product, which is performing well and has met their usability expectations. DataForest communicates effectively via Telegram and provides regular status updates. Their industry expertise makes them easy to work with, contributing to the success of the partnership. "“They always keep me in the loop of what’s going on.”" **BACKGROUND** Introduce your business and what you do there. I’m the head of risk management for Investment Capital Ukraine, an asset management and financial brokerage company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with DataForest? The challenge was to automate and streamline our database. **SOLUTION** What was the scope of their involvement? DataForest automated the process needed to extract information from various operational systems. Then, they combined the data into our database to automate and streamline the reporting process. At the start of the project, we discussed two stages of development, and we later added a third stage. They delivered the first iteration and then upgraded to a second version, after which we gave final comments and changes. Finally, they delivered the final version of the product. We’re currently negotiating with DataForest to see how we can work together further.  What is the team composition? I communicate with five people from DataForest. My first contact was with one of the co-founders, and I’ve also worked with a project manager, coders, an analytics specialist, and a programmer. There was a programmer switch during the development process. How did you come to work with DataForest? Since the project didn’t require too many hours, we couldn’t hire a large company because they require a certain amount of billing to start a relationship. We were looking for a mid-to-small-size boutique company that could handle the job.  DataForest was perfect for us in terms of technical capabilities and ability to handle our order’s size. They also gave us very competitive pricing, and since their business analyst had extensive financial market knowledge, it was easier to communicate our goals. How much have you invested with them? So far, we’ve spent around $30,000. What is the status of this engagement? We started working together around December 2020, and they finished the product in March 2022. Our partnership is still ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?  The product DataForest built is working. Our main metric of success is functionality and usability, and the product is performing at the level that we expected.  How did DataForest perform from a project management standpoint? The project manager is designated to handle communication, project status updates, and timeline expectations. They always keep me in the loop of what’s going on.  In terms of time management, the project took a bit longer than expected; we had calculated nine months, and it took a year and a half. However, it’s not entirely DataForest’s fault because we added a few features in the middle of the project and then another stage of development. We understand that they’re a small team with limited resources, one of whom left in the middle of the project, so things like these can happen. We use Telegram to keep in touch, and their communication is good. They have some integrations with the platform, so a bot sends us status reports whenever there’s an update.  What did you find most impressive about them? I’m really pleased with DataForest’s understanding of financial asset management. This industry expertise has meant that I didn’t have to explain the mechanics of profit calculation to the coders; instead, the business analyst took care of it. While explaining the industry can be a drag, it was easy with DataForest. Are there any areas they could improve? They could improve their resource management and timely turnover of the project. The timeline got extended quite a bit, and though I understand some of it was our own doing, they didn’t show urgency to fit everything into the original schedule.  Do you have any advice for potential customers? Preparation is key! Even if you think you know what you want, the project can become a landmine unless you’ve gone through the steps to see the complete picture. I wish I had been more prepared and discussed everything I wanted to be integrated into the solution at the initial meeting. --- #### Custom Software Dev for Software Development Agency **The Project** - Services: Custom Software Development - Project size: $200,000 to $999,999 - Project length: Aug. 2020 - Ongoing **Project Summary**: A software development agency engaged with DataForest for their custom software development services. The team is building custom tools by utilizing various software such as Python and React. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Founder & CEO, Software Development Agency - Industry: Other industries - Client size: 1-10 Employees - Review Type: Phone Interview - Verified **The Review** — May 17, 2022 **Feedback Summary**: The team is able to consistently deliver their requirements, much to the delight of the client. The team is highly efficient when it comes to implementing resources for the development, and internal stakeholders are particularly impressed with the quality of their workforce. ""If we experience any problems, they come back to us with good recommendations on how the project can be improved."" **BACKGROUND** Introduce your business and what you do there. I’m the founder and CEO of a software development company that provides people with a tool to help them discover trending products and services in the e-commerce space. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with DataForest? We needed someone to provide us with custom software development. **SOLUTION** What was the scope of their involvement? DataForest is helping us build and develop a custom software solution based on our designs. They utilize open-source software and other development tools such as Python and React. What is the team composition? We work with a project manager, QA specialist, front- and backend developers, two data engineers, a data scientist, and a DevOps engineer. How did you come to work with DataForest? I came across DataForest through Upwork and decided to hire them based on the services they were offering. How much have you invested with them? So far, we’ve invested about $460,000. What is the status of this engagement? Our ongoing engagement started in August 2020. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? In terms of development, they’ve been consistently building everything we’ve asked them to without any issues. If we experience any problems, they come back to us with good recommendations on how the project can be improved. How did DataForest perform from a project management standpoint? The team is highly efficient from a process and project management perspective, as they don’t waste a lot of our resources when it comes to resolving issues with minimal intervention from us. For every tool we want to build, they send us an estimate and breakdown of all the tasks, and put them up on JIRA along with the timelines. Moreover, we typically communicate through Slack and weekly phone calls. What did you find most impressive about them? We’re impressed with how they’re able to utilize their resources to deliver all of our requests. Are there any areas they could improve? One thing they could improve on is their approach to communication. They could be more efficient but other than that, everything else is good. Do you have any advice for potential customers? To get the most out of your engagement with DataForest, I would advise you to provide them with detailed information and requirements. --- #### Custom Software Dev Projects for Furnishing Company **The Project** - Services: Custom Software Development - Project size: Less than $10,000 - Project length: Dec. 2021 - Feb. 2022 **Project Summary**: DataForest was hired by a furnishing company several times to carry out different custom software development projects for them. They were repeatedly hired for their fair costing and professionalism. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** President & CEO, Fox Hollow Furnishings - Industry: Other industries - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Feb 11, 2022 **Feedback Summary**: DataForest ultimately helped the client save a lot of time on their internal work, which added up to their business value and income. Their communication was easy, despite having a 10-hour time difference. The client described feeling highly involved in their processes. ""I never felt like I was being strung along, unable to reach someone quickly to report issues."" **BACKGROUND** Please describe your company and your position there. Home decor e-tailer. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire DataForest, and what were your goals? We hired them several times. Once to create API connections between certain marketplaces and our inventory and shipping software. Again later to automate some internal processes that involve Google Sheets and our shipping software. And we have plans for another internal automation. **SOLUTION** How did you select this vendor and what were the deciding factors? We found Alex on Upwork.com. We believed him to be the most professional of the candidates we met there, and his pricing, while not the least expensive, seemed fair. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. If I knew the technologies used, I'd have done it myself. This is outside my ability to answer. How many people from the vendor's team worked with you, and what were their positions? I believe three, though I only dealt with Alex. Alex seems to serve as Project Manager, and we had at least one developer working on our job. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? The end result is that the integrations worked to save us a lot of time. It added up to a somewhat large amount of money to have it all done, but ultimately after less than a year, it will have paid for itself in time saved. I was on the verge of needing another full-time employee to keep up with data entry, and the APIs and scripts he nd his team wrote eliminated that need. Describe their project management style, including communication tools and timeliness. Considering there's like a 10 hour time difference from the East Coast of America to the Ukraine, communication was surprisingly easy. We mostly used the Upwork texting system, plus Zoom calls with screen-share as needed. For the most part, I found the timeliness of his delivery to be on point. What did you find most impressive or unique about this company? Probably the communication. I never felt like I was being strung along, unable to reach someone quickly to report issues. Are there any areas for improvement or something they could have done differently? Nothing worth mentioning. --- #### Data Cleanup & Migration for Bike Subscription Provider **The Project** - Services: Other IT Consulting and SI - Project size: $10,000 to $49,999 - Project length: July - Oct. 2021 **Project Summary**: A vehicle subscription provider entrusted their data migration needs to DataForest. The team initially conducted data cleanups before migrating the client's existing React platform to Salesforce. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 4.5 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Product Manager, Bikeclub - Industry: Other industries - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Dec 3, 2021 **Feedback Summary**: Proving their time-tested field proficiency, DataForest managed to eliminate ineffective data, leaving more room for 85% accurate and successfully migrated order and subscription data. The team's timeline-orientedness and Salesforce knowledge paved the way for a productive collaboration. ""They developed solutions that brought value to our business."" **BACKGROUND** Introduce your business and what you do there?  I’m a product manager at BikeClub, a children’s bike subscription provider. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with DataForest? We wanted to migrate our platform to make it more compatible with other systems. **SOLUTION** What was the scope of their involvement? DataForest initially cleaned up our data storage to ensure that only an integral database would be processed. Upon accomplishing that phase, they migrated our existing React platform to Salesforce. What is the team composition? We worked with a data scientist, a data analyst, a product manager, and a tester. How did you come to work with DataForest? We posted a hiring ad via Upwork, which their team responded to. DataForest had the Salesforce knowledge and experience we were looking for, and they also offered their services at a reasonable price. How much have you invested with them? We spent $12,000. What is the status of this engagement? Our collaboration ran from July–October 2021.  **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Apart from successfully cleaning up all the data that we wanted to eliminate, DataForest curated our orders and subscriptions with an 85% accuracy rate. How did DataForest perform from a project management perspective? We communicated via Slack and periodic meetings. Despite DataForest's occupied schedule and our time zone differences, they collaborated effectively with us and completed the project on time. What did you find most impressive about them?  DataForest's Salesforce expertise was well reflected in their deliverables. They developed solutions that brought value to our business. Are there any areas they could improve? We would've appreciated more frequent meetings to make more room for questions and clarifications. Do you have any advice for potential customers? Set clear requirements, start the project on time, and trust DataForest's expertise. --- #### Data Mining for Automotive Product Manufacturer **The Project** - Services: Other IT Consulting and SI - Project size: $10,000 to $49,999 - Project length: June 2014 - Ongoing **Project Summary**: An automotive company has engaged Dataforest for their data mining services. They monitor and extract threads of data and organize their findings to help the client further their Amazon marketing efforts. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** President, Automotive Product Manufacturer - Industry: Automotive - Review Type: Phone Interview - Verified **The Review** — Nov 1, 2021 **Feedback Summary**: Equipped with reliable data management skills, Dataforest supplies the client with accurate data findings, allowing them to generate marketable product descriptions via Amazon. Timeline- and results-oriented, the team strives to create cost-efficient solutions to make the engagement worthwhile. ""Dataforest’s services are worth every penny."" **BACKGROUND** Introduce your business and what you do there. I’m the president of an automotive product manufacturer. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Dataforest? We needed their data management services for our marketing needs. **SOLUTION** What was the scope of their involvement? Dataforest has been helping us deploy our marketing efforts on data-reliant marketing platforms by conducting data mining services. Their team regularly monitors, extracts, and accumulates data that we can utilize across our campaigns. Once they submit their findings through an Excel file, I filter those according to our needs and edit the copyright details, product descriptions, and titles before integrating them into our Amazon account. What is the team composition? My main point of contact is Vlad (Co-Owner). How did you come to work with Dataforest? I knew Vlad since he was still working as a freelancer and decided to keep engaging him and his team when he formed Dataforest. How much have you invested with them? I’ve spent about $30,000 so far. What is the status of this engagement? Our ongoing engagement started in June 2014. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? As with any data-centric engagement, my main success metric for Dataforest’s work is its accuracy. Our long-term partnership only proves that Vlad’s team is highly capable of delivering error-free and organized data lines, which enable us to acquire reliable product details for our Amazon platform. What did you find most impressive about them? Dataforest’s services are worth every penny — they deliver efficient results on time. Are there any areas they could improve? I don’t think there’s anything that needs improvement. Do you have any advice for potential customers? Be communicative and transparent. Vlad’s team accommodates any requests and addresses issues professionally. --- #### Bank Data Analytics Platform for Financial Service Company **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: June 2021 - Ongoing **Project Summary**: DataForest was tasked with developing a bank data-gathering app for a financial service company. Their goal was to create an MVP that the client could demonstrate value in data analytics.   **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.5 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** Chairman, Intellidex - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Oct 20, 2021 **Feedback Summary**: The client is already confident that their new platform will gain good traction thanks to DataForest. The vendor has always been on time and turned around requests quickly. They also had a quick grasp of the client's intentions and delivered the specs as expected. ""They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss."" **BACKGROUND** Please describe your company and your position there. I'm executive chairman of Intellidex. We have operations in South Africa, UK and USA providing research and consulting services in financial services and capital markets. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire DataForest, and what were your goals? We wanted to develop a customer-facing app that allows for analysis of vast amounts of data about banks. The goal was to create a MVP that we could take out to the market that demonstrated value in the data analytics. **SOLUTION** How did you select this vendor and what were the deciding factors? We found them through UpWork and after some initial discussions and reviewing previous work we were confident they could handle the assignment. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. We wanted a web-native app that scraped data and then allowed users to develop time series from the data and run various operations to present it graphically or download. The project went through a few iterations and testing rounds for the interface and engine. How many people from the vendor's team worked with you, and what were their positions? We dealt primarily with one member of the team. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? While we are just at the start of taking the result to market, we are comfortable that we have a good product that will get traction. Describe their project management style, including communication tools and timeliness. They were on time and turned around requests quickly. In our project it was us that cause delays rather than Dataforest. What did you find most impressive or unique about this company? They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss. Are there any areas for improvement or something they could have done differently? There were early iterations that missed some of the features that we wanted, but this was addressed quickly in subsequent iterations. --- #### Data Management Platform for Auto Trading Company **The Project** - Services: Web Development - Project size: $50,000 to $199,999 - Project length: July 2020 - Ongoing **Project Summary**: An auto trading company hired Dataforest for website development. The client has requested an in-house data management platform, website and mobile app for end clients, and multiple integrations.  **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Column Trade - Industry: Other industries - Client size: 51-200 Employees - Review Type: Online Review - Verified **The Review** — Oct 5, 2021 **Feedback Summary**: Dataforest has been delivering satisfying platforms to the client. They follow agile methodology and communicate effectively to ensure the timeliness of deliverables. Above all, the team has demonstrated a high level of expertise in this field, completing the developments at speed.  ""We are impressed with the expertise level and speed of development."" **BACKGROUND** Please describe your company and your position there. Columb Auto Trade provides access to US auto auctions with its exclusive dealer level access. We will provide registration and broker services to foreign brokers to Copart, IAA, Manheim, Adesa and other auctions. Columb Auto Trade specializes in international auto and machinery shipping using containerized and Flat Rack delivery. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Dataforest, and what were your goals? We had no integration with our main data providers so Dataforst made several integrations, create platform for in-house data management and on top of that built web and mobile platforms for our wholesale and retail clients. **SOLUTION** How did you select this vendor and what were the deciding factors? They were advised to us. The main factors were speed of development , delivery quality and commitment from the vendor side Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. Initially we had requirements only for software integration services , however after another developer can’t deliver B2B portal we asked Dataforest to help us with that development. After we increase scope for mobile application and ultimately we asked for another B2B portal for our side business. How many people from the vendor's team worked with you, and what were their positions? There were around 6 people on Dataforest side , data engineer ,several frontend and backend developer , project manager . Also big part of business analysis were done by Aleksandr - company Managing Partner who advise a lot and make development process more efficient. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? We are happy for what the Dataforest developed for us. Describe their project management style, including communication tools and timeliness. They use an agile approach and have a significant level of communication. Meet timelines What did you find most impressive or unique about this company? We are impressed with the expertise level and speed of development. Are there any areas for improvement or something they could have done differently? We are good with the process we are having now. --- #### Data Analysis & Engineering for Cybersecurity Company **The Project** - Services: BI & Big Data Consulting & SI - Project size: Confidential - Project length: Jan. 2021 - Ongoing **Project Summary**: A cybersecurity company partnered with Dataforest to reconstruct their high-volume information infrastructure. The team provides data analysis and data engineering services to calibrate the client’s platform. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** VP of Product, Cybersecurity Company - Industry: Other industries - Client size: 11-50 Employees - Review Type: Phone Interview - Verified **The Review** — Sep 10, 2021 **Feedback Summary**: Dataforest’s support has made it possible for the client to build a fast, high-powered data analytics tool. The team's unique approaches, service consistency and reliability, and capacity to provide backup resources in unprecedented times have led to the system’s successful initial launch. ""They have very intelligent people on their team — people that I would gladly hire and pay for myself."" **BACKGROUND** Introduce your business and what you do there. I’m the VP of product for a company that monitors the consumer web to understand fraudulent behavior online. We help our customers make intelligent decisions from a cybersecurity perspective, returning a variety of score signals and additional data to help them decide whether they should allow people to authenticate and gain access to sensitive information. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Dataforest? We worked with Dataforest on the re-architecture of our platform that ingests high volumes of data every single day. **SOLUTION** What was the scope of their involvement? The project entailed building a high-performance computing platform that could process large amounts and data, with machine learning to top it all off. Dataforest helped us build derivative values around features to inform our customers off of that and create an API that could handle and respond to requests within 100 milliseconds.  The team also helped us meet our customers’ requirements, playing a very important role as our technology partner. They took ownership over most of the data engineering and solved a lot of challenges to be able to build our needed infrastructure. What is the team composition? There are people floating in and out of the project but I’d say there are 5–6 people who are consistently working with us. These people are CPython developers, data scientists, and infrastructure specialists.  How did you come to work with Dataforest? We posted a listing in Upwork and looked for someone who had a familiarity and deep understanding of building the type of system we were after. Dataforest was one of the agencies that applied so we decided to work with them not just on the architectural aspect, but also on the modeling and data science aspect of the project.  What is the status of this engagement? We started working with them in January 2021 and the partnership is still ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? We wouldn’t have been able to build a system without Dataforest. Their team has come up with new approaches that I believe are patentable, and these have made a crucial impact on the success of our initial product launch last June 2021. We haven’t thought about replacing them and hiring new people as that will exponentially cost more and take a lot of time.  How did Dataforest perform from a project management standpoint? For the most part, Dataforest has exceeded our expectations. We’ve had a hiccup at one point in the project, but we’ve found a really good way to remediate it and it hasn’t occurred again since. Of the agencies that we’ve worked with, I would say that they are in the top percentile from a delivery perspective.  What did you find most impressive about them? Through the years of outsourcing work, we’ve found that it costs a lot of time and resources to replace individuals or agencies that have become familiar with our system but suddenly disappear. Thus far, we’ve not encountered this problem with Dataforest.  Even when they were impacted by COVID-19, they’ve provided backup resources who were just as adept with the system. It has helped us meet the deadlines. They’ve established a good internal overlap system that ensures their continued performance even when things happen within their company.  Another interesting thing about them is that they have very intelligent people on their team — people that I would gladly hire and pay for myself if they were based in my country.  Are there any areas they could improve? Even though there are some problems encountered, none of them are ongoing challenges and some can be mitigated with a bit of maintenance. This feedback is more for them and less about them —  since they are expanding their specialized IT services, we are pretty excited to see the direction that they’re headed in.  Do you have any advice for potential customers? Web scraping, competitive analysis, and similar projects are very easy to tackle for Dataforest. They have a lot of resources for it. However, if you’re looking to work with them on a more challenging project, I would recommend that you set your goals and know exactly what you want. They’ll totally be able to innovate solutions for you. --- #### Big Data Automation for Business Service Provider **The Project** - Services: BI & Big Data Consulting & SI, Other IT Consulting and SI - Project size: $50,000 to $199,999 - Project length: June 2019 - Ongoing **Project Summary**: Dataforest is tasked to automate a large volume of real-time internet leads for a service provider. The project goal was to optimize employee morale and ROI through organized data reporting and accountability. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Owner & Founder, Little Giant Marketing - Industry: Business services - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Feb 17, 2021 **Feedback Summary**: The team continues to impress their client with prompt and high-quality submissions. Dataforest members are attentive when it comes to bug detection and referencing. Their creativity and development efforts also contribute to this partnership's continued success. ""Their level of creativity stands out from any other development company." " **BACKGROUND** Please describe your company and your position there. I'm the owner and founder of Little Giant Marketing. I help insurance agencies automate their business by implementing custom software that will increase production and efficiencies. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Dataforest, and what were your goals? My clients' employees wasted too much time following up with the large volume of real-time internet leads. This created large overhead, lack of employee ROI, and lower employee morale because of time chasing leads. Our other challenge was reporting. We needed all of our different software applications to speak to each other. Originally all reporting and accountability were handled manually. When managed manually, things can be noticed too late. **SOLUTION** How did you select Dataforest and what were the deciding factors? I respected their experience and after interviewing a few vendors, I felt the best rapport with Dataforest and excited about their extended services other than software development. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. Our initial goal was to build an AI in amazon web services that could handle the intake of all of our leads. We didn't know how this was going to be possible but after multiple brainstorm sessions, we found an efficient way to create our first lead BOT. AWS needed to integrate with our telelphony (Twilio) and with our CRM (Infusionsoft). After a few months, we had a working BOT that was able to schedule calls and send request to the sales team. Now that the intake was handle, it was time to look at more advanced automation reporting for the Sales Teams. How can we see sales trends, conversion rate trends, and a better way to sms prospects? Dataforest was able to design a very attractive AI for the sales reps. This created more productivity for the reps immediately as well as a better experience for our customers. Next was designing our reporting hub, so we are making educated decisions based on real-time data across all our software: We integrated our customer portal so we can link the customer revenue with the sales rep. This helped us create extremely robust reporting in QuickSight within AWS. Now, we continue to evolve integrations and most importantly, my clients reporting. How many people from the vendor's team worked with you, and what were their positions? I had one main contact, Vlad Zinchenko. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? All projects were delivered on time and continue to monitor to make sure any initial bugs were handled right away. I really appreciated the extra time Dataforest took to handle our last-minute requests, changes, and questions. It was also extremely helpful Dataforest provided detailed documentation both for training and infrastructure reference. Describe their project management style, including communication tools and timelines. It's never a concern to get in contact with Dataforest which made it easy to keep the ball rolling on all fronts. Their project management is extremely organized which is very important. I was giving multiple communication methods. What did you find most impressive or unique about this company? Their level of creativity stands out from any other development company. They require to know the business process and goal for every project. This shows their dedication to thinking thoroughly through ideas and solutions. We also never ran into any roadblocks. We were able to put all of our ideas into action. This displayed the wide variety of skills the Dataforest team can provide. Are there any areas for improvement or something they could have done differently? There's nothing I can think of except maybe providing me with updated company services. I know Dataforest has a great resume but I hope I'm not missing out on any other services we could be working on together. --- #### Programming & Database Mgmt for Segmentation Analytics Co **The Project** - Services: BI & Big Data Consulting & SI - Project size: $10,000 to $49,999 - Project length: Nov. 2018 - Ongoing **Project Summary**: Initially hired to program algorithms for a segmentation analytics platform, the scope of Dataforest’s work has expanded to include project management, backend database management, and platform development. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Co-Founder & CAO, Sweetspot - Industry: Other industries - Client size: 11-50 Employees - Review Type: Phone Interview - Verified **The Review** — Nov 20, 2019 **Feedback Summary**: Dataforest exceeds expectations by outpacing time estimates, adhering to the budget, and delivering innovative solutions. Internal stakeholders have been so pleased by their forward-thinking work that they’ve repeatedly expanded the scope of their work. Services are high quality and cost-effective. "“Our business would not be where it is right now if we hadn’t found Dataforest.” " **BACKGROUND** Introduce your business and what you do there. At Sweetspot, our goal is to make data science affordable for all Marketers. We developed a segmentation platform for small–medium-sized agencies that enables them to leverage advanced segmentation schemes easily into Marketing campaigns for their end clients.  **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Dataforest? As a former Data Science Executive, I have had access to many data scientists. However, Sweetspot is a bootstrap startup, and finding affordable data scientists in the U.S. was challenging even with my deep network.  We needed to do a lot of advanced programming and analytics but on a startup budget. It was NOT financially viable for us to build our platform using US-based data science and development talent so we began looking at offshore options. **SOLUTION** What was the scope of their involvement? We initially hired Dataforest to program algorithms and models for our platform.   The first couple of projects that Dataforest worked on was within this scope. They took in large amounts of data and used various analytic techniques to build models and produce consumable outputs for use in our platform. Dataforest has done such a great job for us that they have now become a trusted resource and partner in pretty much all aspects of the data, technical and analytic functions of our business.    Recently we also add Dataforest’s technical project management and process documentation capabilities to the list of projects that we retain them for.  As our business grows and our demand for these expertise increases, we are confident that they are the right resource for our longer-term success. What is the team composition? To date, we’ve worked with four team members, including Aleksandr and Vlad (Partners & Co-Owners, Dataforest) and two developers/programmers. How did you come to work with Dataforest? I looked at and interviewed multiple contractors and outsource companies, but when I interviewed Vlad at Dataforest it was evident that he knew exactly what I was needing and also was able to illustrate real examples of similar/relevant work that they had done to assure me that they were experts in the areas where I needed help. Vlad also offered up great ideas and recommendations that they felt would best serve our objectives. How much have you invested with them? To date, we have engaged in multiple projects as well as monthly retainer hours for ad-hoc work and project management.  We are on pace to engage in $40,000–$50,000 in project work over a 12-month window.  They have been very flexible with us and taken on projects that have lasted several months and as short as 1 week. They are also very flexible on billing and have allowed us to do both flat hourly rate work as well as project-based work. What is the status of this engagement? Our work together began in November 2018, and it’s ongoing.   We now consider them a critical part of our business and look at them as our “Team in the Ukraine." **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Our business would not be where it is right now if we hadn’t found Dataforest. Every step of the way, they’ve proven more and more competent; every time I push them, they step up and deliver.  How did Dataforest perform from a project management standpoint? When we have new projects, my team presents to them what we want to do, and Dataforest provides a quote and timeframe. They’re very dependable about timing, which has allowed me to sell future state software products to clients and beta clients. They not only hit their deadlines but also provide amazing customer service. They usually respond right away, despite the time difference.  We use their Project Management services and I believe this almost ensures that we are getting things done on time and on budget.  What did you find most impressive about them? I’ve hired and trained a lot of analysts, and Dataforest is as good as, if not better than most of the talent I have worked within the U.S. They produce excellent quality of work and are proactive in addressing issues before they become problems. They communicate very well and are not afraid to ask clarifying questions before they spend time (and money).  We have had no rework situations with them in the past 13 months. We were a little concerned before we started with them that the time difference might limit our access to the team, but I don’t think these guys sleep! They are exceptionally responsive and even overnight communications never go unanswered for more than a few hours. We use Slack to communicate and there have been no issues.   Are there any areas they could improve? I think the only potential challenge for somebody working with Dataforest is the same as with any offshore company. Using companies where employees' first language is not English does require you to be a bit more diligent about requirements and selective of the words you use.  In our experience with Dataforest the programmers we have worked with speak excellent English and are very easy to communicate with. In fact, many of them are multi-lingual and this recently enabled us to pick up work for a new client in Latin America because our analyst Iulia (Data Scientist, Dataforest) was able to understand the data fields that were in Spanish!  So the language difference has not been an issue for us. Any advice for potential customers? I highly recommend Dataforest with two recommendations. First, have your project laid out in terms of what you want to accomplish... what is your end goal with some details on the specifics.  Second, don’t over-engineer the requirements. Dataforest’s team is really good at listening to what you’re trying to achieve. They’re really talented at problem-solving with advanced technology solutions. --- #### Custom Reporting Platform for E-Commerce Company **The Project** - Services: Web Development - Project size: $50,000 to $199,999 - Project length: Aug. 2018 - Ongoing **Project Summary**: Dataforest built a reporting tool and platform to alert an e-commerce company of supplier discounts on products. The collaboration is ongoing. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, E-Commerce Company - Industry: Other industries - Client size: 1-10 Employees - Review Type: Phone Interview - Verified **The Review** — Oct 31, 2019 **Feedback Summary**: Thanks to Dataforest’s work, the client has seen an additional $150,000 in revenue. The team delivers high-quality report features and development work quickly and within budget. Their responsiveness, expertise, and knack for problem-solving also stand out. ""They come up with creative working solutions to some of the most challenging issues we face in the business." " **BACKGROUND** Introduce your business and what you do there. I’m the CEO of an e-commerce company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Dataforest? We wanted to get a competitive advantage over other companies in the e-commerce space. **SOLUTION** What was the scope of their involvement? Dataforest created a reporting tool and web platform that lets us know when our supplier is selling items at a discount. We can take advantage of that information to get money from our supplier or to list products at reduced prices compared to our competitors. We no longer have to check these sources manually. What is the team composition? We have one point of contact with a team leader. I’m not sure how many people have been involved in our projects. How did you come to work with Dataforest? I found Dataforest on Upwork. They responded quickly to our job posting, and after a quick interview, I felt that they were in the best position to help me with my project. Since then, Dataforest exceeded my expectations. We've been working ever since.  How much have you invested with them? We’ve spent around $100,000. What is the status of this engagement? Our collaboration started in August 2018 and is ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? In 2019, we earned an extra $150,000 in profit from the information Dataforest’s work provides us. I really enjoy working with Dataforest and the products they’ve delivered. They’ve allowed us to grow our business exponentially, and I now consider them a long-term strategic partner in my business. How did Dataforest perform from a project management standpoint? Dataforest is highly responsive to all our requests and executes them within our budget and timelines. We’re very impressed with their work. What did you find most impressive about them? Dataforest’s technical knowledge is unparalleled. They come up with creative working solutions to some of the most challenging issues we face in the business. Their honesty, transparency, and response time to our business needs also impress me.  Are there any areas they could improve? I would say that Dataforest needs to improve their project management in terms of communication. Otherwise, I’m happy with their work and hope to continue working with them for a long time. Any advice for potential customers? Make sure that you know exactly what you want from Dataforest. Have a clear plan in place, and make sure you follow it. --- #### Digitalization for Artwork Gallery **The Project** - Services: Web Development - Project size: Less than $10,000 - Project length: Apr. 2019 - Ongoing **Project Summary**: Dataforest created a digital identity for an artist, setting up a website, social media presence (Instagram) and a Wikipedia page. The website features previous sold as well as new artwork. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Owner & Artist, IGubskiy - Industry: Arts, entertainment & music - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Aug 28, 2019 **Feedback Summary**: Continuing to manage social media for the artist, Dataforest has proven to be a proactive and communicative team. Their frequent progress updates and high-quality work are notable. ""They also inform me about the results and the next steps they plan."  " **BACKGROUND** Please introduce your business and your position there. I am a professional artist and run my own gallery. **OPPORTUNITY / CHALLENGE** What business challenge were you trying to address with Dataforest? Why did you hire Dataforest? The main idea was to digitize my artwork and gallery: Organize data about old pieces of art Create a database of existing pieces of art and who owns them now Small CRM system Creation of website and social network accounts **SOLUTION** What was the scope of their involvement? The Dataforest team fully covered all of the project, starting from business analysis and finishing with final implementation. What is the team composition? How many people did you work with and who are your main points of contact? My main contact is Svetlana. Personally, I'm in contact with two people, but as far as I know, around 4 employees were involved in the different stages. How did you come to work with Dataforest? We met at my exhibition, and after several additional meetings, we initiated our cooperation. What is the timeline of the project? What month/year did you start and finish? We started in April 2019, and we still have an ongoing support project. How much money have you invested with them? I invested around $8,000–$9,000, but we also have monthly support. What is the status of this engagement? We're still working together.  **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? They built and launched my personal website and Instagram account, and they also manage the latter currently. They also started a Wikipedia page.   How did Dataforest perform from a project management standpoint? How responsive were they? We haven't had any problems with project management. The team is proactive and always tell what they are doing. They also inform me about the results and the next steps they plan. What did you find most impressive about them? Their proactive position, quality of work, and communication stand out. Are there any areas they could improve? I'm okay with their current service. Do you have any advice for potential customers? No I don’t.  --- #### Analytic Platform for Commodity Trading Firm **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: Apr. - June 2018 **Project Summary**: Dataforest set out to deliver an in-house analytics platform. A team of three sought to structure and unify data output from different sources into a single database with a visual overview. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Managing Director, AM Trading BV - Industry: Energy & natural resources - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Aug 28, 2019 **Feedback Summary**: Dataforest succeeded in building software that drastically decreases the administrative burden. Now, the CFO of the company enjoys streamlined reports of all data outlets. The team's workflow was efficient and stress-free.  ""Everything was stress-free." " **BACKGROUND** Please describe your company and your position there. Managing director of Group of companies. We do physical commodities trading sourcing from CIS and delivering worldwide. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Dataforest? We needed in-house analytics for our internal purposes and web-based data output for external (customer's) use. What were your goals for this project? To structure all the data output from different trading desks (i.e. stock positions, cash overview, goods in transition) and combine this data in a unified database and visual overview. **SOLUTION** How did you select this vendor? We have been in contact with one of the co-founders of the company since last project (before he entered Dataforest) and we were satisfied with price/quality ratio. Describe the project in detail. We have 3 trading desks which are managed by 3 independent teams. Due to trading specifics (i.e. different measurements units, different purchase/sales terms, different shipment conditions) at the EOD we had 3 reports which were delivered by 3 teams and then the CFO manually adjusted those report to see the current trading positions. We wanted to have the unified data that we receive from the trading platforms, port authorities, shipping agencies and banks to create unified EOD report. Moreover, as complimentary task we asked for presentation of data to be visualised. What was the team composition? We’ve worked with three people, including a project manager (Alex), an data scientist , and a frontend developer. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? In the end we had an automatically updated unified EOD report. That required the new structure of the report from one desk and the rest was compiled to unified data. Hence, our CFO had only to check the EOD report and not to compile it manually which significantly decreased time spent. On top of that (complimentary task) we've got unified dashboard that shows statistics and all key metrics with EOD updated. How effective was the workflow between your team and theirs? DataForest does a decent job managing our project. We use Jira for all tasks that allow us to see current status and progress. What did you find most impressive about this company? The best idea was that the project manager had financial background, so we spent much less time describing the business model and our needs. Are there any areas for improvement? Everything was stress-free. --- #### Data Consulting for Digital Marketing Company **The Project** - Services: BI & Big Data Consulting & SI - Project size: Confidential - Project length: Dec. 2024 - Ongoing **Project Summary**: DATAFOREST has set up data pipelines from various sources for a digital marketing company. The team has also established an infrastructure and provided ongoing support for the client's data needs. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 4.5 - Cost: 4.5 - Willing to Refer: 5.0 **The Reviewer** Co-Founder & COO, GG Digital Marketing Agency - Industry: Advertising & marketing - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Jul 29, 2026 **Feedback Summary**: DATAFOREST has achieved a 99% uptime for the client's data pipeline and data freshness close to real-time. The team has delivered on time and communicated effectively via email and messages throughout the engagement. Moreover, DATAFOREST's availability has been a hallmark of their work. ""DATAFOREST's level of expertise is impressive."" **BACKGROUND** Introduce your business and what you do there.I’m the co-founder and COO of a digital marketing agency. We provide digital marketing consulting, SEO, and in-app marketing at scale for global companies. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with DATAFOREST?We needed help setting up our entire data pipeline. **SOLUTION** What was the scope of their involvement?DATAFOREST has set up data pipelines from various sources, established an infrastructure to schedule and manage them, and provided ongoing support for every data matter in our company. The data sources include affiliate programs and MMPs such as AppsFlyer and Adjust.What is the team composition?We’ve worked with one teammate from DATAFOREST.How did you come to work with DATAFOREST?We found them on Upwork. We chose them because they had high ratings, and their pricing fit our budget.What is the status of this engagement?We started working together in December 2024, and the engagement is ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?DATAFOREST has achieved a 99% uptime for our data pipeline and data freshness close to real-time. These outcomes have essentially facilitated our high level of service.How did DATAFOREST perform from a project management standpoint?DATAFOREST delivers on time. We communicate via email and messaging apps.What did you find most impressive about them?DATAFOREST’s level of expertise is impressive. They also have a very high level of availability, even on non-working days when needed.Are there any areas they could improve?No, we’ve had an almost perfect experience. --- #### AI Consulting & Dev for Product Engineering Company **The Project** - Services: AI Consulting, AI Development, BI & Big Data Consulting & SI - Project size: $10,000 to $49,999 - Project length: Jan. - May 2025 **Project Summary**: DATAFOREST provided data architecture services for a product engineering company. The team built a Snowflake-based data lake, created real-time ETL pipelines, and developed AI agents to automate workflows. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Project Manager, VilmoreX - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review **The Review** — Jun 19, 2025 **Feedback Summary**: Thanks to DATAFOREST, the client processed over 12 months of historical SCADA and IoT data, enabling the first AI models to detect leak patterns with an accuracy of over 89%. The team reduced data processing time by 65% and automated 92% of routine reporting and alert tasks. ""They challenged assumptions, flagged blind spots, and proactively optimized for outcomes."" **BACKGROUND** Please describe your company and position.I am the Project Manager of VilmoreXDescribe what your company does in a single sentence.VilmoreX delivers full-cycle product engineering for startups building the future in SaaS, AI, and IoT. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Provide expertise in data architecture to build a complex data lake.Design and implement efficient data pipelines capable of handling real-time pressure and streaming data from multiple utility clients.Develop AI agents using generative AI to automate workflows within our web application. **SOLUTION** How did you find DATAFOREST?Online SearchClutch SiteWhy did you select DATAFOREST over others?High ratingsGood value for costHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The project was made up of three core parts: data architecture, real-time data pipelines, and AI workflow automation.In the first part, the team delivered a Snowflake-based data lake capable of handling SCADA and IoT data across multiple utility clients.In the second, they built real-time ETL pipelines to ingest and align sensor and satellite data, enabling ongoing analysis and anomaly detection.In the third, they created a set of  AI agents to automate key workflows, including anomaly detection, regional leak scoring, and proactive alerting. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?We successfully processed over 12 months of historical SCADA and IoT data, enabling the first AI models to detect leak patterns with an accuracy of over 89% in a pilot district.The new data pipelines reduced data processing time by roughly 65%, and the AI agents automated 92% of routine reporting and alert tasks, significantly lowering the manual workload for utility teams.As a result, our web platform now delivers actionable insights in real time. It cuts field inspection delays and helps clients proactively address water loss.Describe their project management. Did they deliver items on time? How did they respond to your needs?What impressed us most was how the team combined deep technical expertise with real business intuition. They didn't just deliver what we asked for; they challenged assumptions, flagged blind spots, and proactively optimized for outcomes that actually moved the needle. In a world full of vendors who just code to requirements, finding a partner that's both technically dialed and commercially savvy is pretty rare.What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?What stood out most was their ability to think beyond the technical scope and deliver AI and data solutions with real business upside. For our AI-driven platform pilot, they helped us reframe AI as an operational layer. They suggested monetizing regional loss scoring as a subscription for smaller utilities, turning a cost center into a potential revenue stream. They also pushed for a unified data layer across clients, enabling cross-utility benchmarking that’s valuable for both regulators and executive teams. That kind of thinking really impressed us.Are there any areas for improvement or something DATAFOREST could have done differently?Nothing major stood out as a gap. --- #### Web Scraping Development for Real Estate Company **The Project** - Services: Computer Engineering, Custom Software Development, Data Annotation Services - Project size: $10,000 to $49,999 - Project length: Mar. - Apr. 2025 **Project Summary**: DATAFOREST provided web scraping development for a real estate company. The team developed a web scraping solution to extract real estate property data and upload it to an SQL database. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.5 - Willing to Refer: 5.0 **The Reviewer** Director, FastFacility - Industry: Real estate - Client size: 1-10 Employees - Review Type: Online Review **The Review** — Apr 23, 2025 **Feedback Summary**: DATAFOREST delivered quality work on time, meeting the client's expectations. The team communicated effectively, collaborating through virtual meetings and email. The team was responsive and provided excellent service. The team's professional approach was also outstanding. ""The quality of the work was impressive."" **BACKGROUND** Please describe your company and position.I am the Director of FastFacilityDescribe what your company does in a single sentence.Online real estate services **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Scraping of Clients webbsiteGeo-codingSQL uploading **SOLUTION** How did you find DATAFOREST?Online SearchWhy did you select DATAFOREST over others?Good value for costCompany values alignedHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Dataforest shall provide software development services to the Customer.b. Under this SoW Dataforest will develop a web scraping solution to extract realestate property data.c. Data will be updated quarterly.d. SoW consists of 1 site and core function:Setup core functione. The Customer should define the list of data fields within the 2 business days afterproject initiation. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Timeliness and quality of the output.Describe their project management. Did they deliver items on time? How did they respond to your needs?Excellent communication and professional approach.What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?How quickly they responded, and the quality of the work was impressive.Are there any areas for improvement or something DATAFOREST could have done differently?none --- #### Data Consulting Services for Technology Advisory Firm **The Project** - Services: BI & Big Data Consulting & SI - Project size: Less than $10,000 - Project length: Nov. 2023 - Ongoing **Project Summary**: DATAFOREST was hired by a technology advisory firm for their data consulting services. The team is responsible for managing data and making it accessible through BigQuery. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Managing Partner & Founder, Technology Advisory Firm - Industry: Sports - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Aug 15, 2024 **Feedback Summary**: DATAFOREST's work has been met with positive acclaim, thanks to their regular cadence of delivery. The team is highly receptive from a workflow standpoint, and internal stakeholders are impressed with the service provider's consistent availability. ""If we ever have issues, DATAFOREST is quickly on hand to resolve them."" **BACKGROUND** Please describe your company and position. I am the Managing Partner and Founder of a sports company Describe what your company does in a single sentence.We're an advisory with a difference. Utilising proprietary technology, data and third-party platforms to serve our partners better. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Acquiring data from third-party platforms **SOLUTION** How did you find DATAFOREST?Online SearchClutch SiteWhy did you select DATAFOREST over others?High ratingsPricing fit our budgetGood value for costHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Acquiring data from third-party platforms on a regular cadence and making it available on Big Query **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Regular, accurate data deliveryDescribe their project management. Did they deliver items on time? How did they respond to your needs?Things don't always go according to plan, but if we ever have issues, DATAFOREST is quickly on hand to resolve them.What was your primary form of communication with DATAFOREST?Email or Messaging AppWhat did you find most impressive or unique about this company?Ability to contact them regardless of the time of the day or day of the week.Are there any areas for improvement or something DATAFOREST could have done differently?No improvements needed. --- #### Automated Web Testing for IT Outsourcing Company **The Project** - Services: API Development, Application Testing, Custom Software Development - Project size: Confidential - Project length: Oct. 2022 - Ongoing **Project Summary**: DATAFOREST is helping an IT outsourcing work on an automated web testing project. The key technologies being used are Selenium and Playwright. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 4.0 **The Reviewer** CTO, IT Outsourcing Company - Industry: Other industries - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Nov 15, 2023 **Feedback Summary**: So far, the client has been satisfied with DATAFOREST’s services. The team establishes a smooth workflow through a reliable and dedicated project manager who attends to the client's needs promptly. Also, the DATAFOREST team is skilled and follows a customer-oriented approach. ""Their engineering resources are quite capable."" **BACKGROUND** Please describe your company and position.I am the CTODescribe what your company does in a single sentence.Out staffing / Outsourcing **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Develop web automation project **SOLUTION** How did you find DATAFOREST?upworkWhy did you select DATAFOREST over others?High ratingsPricing fit our budgetHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.web automation using Selenium/Playwright frameworks **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?stability of projectperformancequalityDescribe their project management. Did they deliver items on time? How did they respond to your needs?Dedicated project manager with high responsiveness and dedication.What was your primary form of communication with DATAFOREST?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Their engineering resources are quite capable. They care about their customers needs.Are there any areas for improvement or something DATAFOREST could have done differently?nothing to mention --- #### Web App & Data Engineering for E-Commerce Company **The Project** - Services: AI Development, BI & Big Data Consulting & SI, Custom Software Development, Digital Engineering - Project size: $50,000 to $199,999 - Project length: Aug. 2023 - Ongoing **Project Summary**: DATAFOREST is building a web app for an e-commerce company. The team manages the client's needs in terms of engineering and SaaS development, utilizing machine learning technology and data processing logic. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Partner, Qvist Sweden AB - Industry: Retail - Client size: 1-10 Employees - Review Type: Online Review **The Review** — Oct 28, 2023 **Feedback Summary**: The client praises DATAFOREST's services and ability to manage the project effectively. The team has clear communication and facilitates sprints smoothly. Moreover, their resources have truly commendable data engineering expertise. They're also highly transparent, resulting in a smooth partnership. ""Their data engineering expertise is definitely at the highest level."" **BACKGROUND** Please describe your company and position.I am the Partner of Qvist Sweden ABDescribe what your company does in a single sentence.We are a pioneering startup on a mission to transform the retail landscape, ensuring a smooth and consistent support experience across various sales channels. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire DATAFOREST to accomplish?Data engineering experienceSAAS development experienceEasy communication **SOLUTION** How did you find DATAFOREST?Online SearchWhy did you select DATAFOREST over others?Pricing fit our budgetCompany values alignedHow many teammates from DATAFOREST were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Our platform integrates with various sales channels, including online stores, mobile apps, and in-store systems, to collect and analyze customer interaction data in real-time. By utilizing machine learning algorithms, we identify patterns and trends in customer behavior, enabling us to predict and proactively address potential support issues before they escalate.The platform also offers a centralized dashboard for support teams, providing them with real-time insights and recommendations on how to optimize customer interactions across all channels. This ensures that no matter where a customer chooses to engage with the brand, they receive consistent, high-quality support. We are still in the progress but main project deliverables are: web application with the UI based on the designs the server-side logic, database interactions, and API integrations. Machine learning algorithms and data processing logic. ETL and integration pipelines **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Dataforest provides clear communication along with good project management. We have created project architecture, defined data pipelines, and started working on web applications.Describe their project management. Did they deliver items on time? How did they respond to your needs?We are happy with the current level of service. We have a backlog of tasks and sprint plans. Each sprint is discussed in detail prior to the sprint beginning so we have time to make specifications and discuss them with the Team. So, at the end of each sprint, we get what we expect. Of course, sometimes, tasks are delivered with delays, but Dataforest tells us about such cases when they meet any severe obstacles.What was your primary form of communication with DATAFOREST?Virtual MeetingWhat did you find most impressive or unique about this company?Their data engineering expertise is definitely at the highest level. They are transparent in all aspects of software development. Dataforest has a number of expertise hubs inside the company so that helps to resolve any complex developers' questions. I find that approach quite unique and effective.Are there any areas for improvement or something DATAFOREST could have done differently?We are satisfied with their methods and deliverables. We have ongoing communication that helps to resolve any questions or challenges. --- #### Custom Software Dev for Financial Intermediation Platform **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: Dec. 2020 - Feb. 2021 **Project Summary**: Dataforest was hired by a financial intermediation platform to provide custom software development. The team created a platform with sign up functionalities **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Web Platform - Industry: Financial services - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Mar 9, 2021 **Feedback Summary**: Dataforest delivered the product on time. Moreover, their communication was excellent. They were understanding, fast, and flexible. ""They understood our requirements, translated into actions rapidly, and adapted to requests easily." " **BACKGROUND** Please describe your company and your position there. Founder and CEO of a web platform focused on financial intermediation **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Dataforest, and what were your goals? We engaged Dataforest to develop our platform from scratch. **SOLUTION** How did you select Dataforest and what were the deciding factors? We were really impressed by how quickly we managed to agree on a fix quote for our complex project and related legal contracts, and how quickly they understood our requirements and were able to outline a clear realistic plan. Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. Create a platform with sign up functionalities for different users, etc. Django, React How many people from the vendor's team worked with you, and what were their positions? 5, CEO, PM, 1 BE dev, 1 FE dev, 1 Designer **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? Working product delivered on time. Describe their project management style, including communication tools and timelines. 10 out of 10 to communication, the PM awas great and the role that the CEO also played in keeping the communication channel centralised contributed to this 10/10. What did you find most impressive or unique about this company? They understood our requirements, translated into actions rapidly, and adapted to requests easily. Are there any areas for improvement or something they could have done differently? None, really. --- #### BI & Analytics Services for Tire Manufacturer & Supplier **The Project** - Services: BI & Big Data Consulting & SI - Project size: Less than $10,000 - Project length: Nov. 2019 - Ongoing **Project Summary**: Dataforest was hired by a tire manufacturer and supplier to conduct data scraping. The goal of the project is to gather data for setting up compatible product prices based on benchmarks and market analysis. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Digital Project Manager, Tire Manufacturer & Supplier - Industry: Automotive - Client size: 10,001+ Employees - Review Type: Online Review - Verified **The Review** — Feb 15, 2021 **Feedback Summary**: Since Dataforest's involvement, there has been an improved transparency and pricing process. The team has an effective workflow between them and the client. They are time-efficient, promptly responding to queries and concerns. ""Their quick replies and time-efficiency are impressive." " **BACKGROUND** Please describe your company and your position there. I'm working as Digital Project Manager in a tire manufacturing company. Specialising on data analysis, data visualisation and digital transformation. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Dataforest? Websites data scraping for setting up compatible products prices based on market analysis and benchmarking. What were your goals for this project? Project was initiated to improve the process of setting up prices for Vredestein products. **SOLUTION** How did you select Dataforest? Dataforest was hired using Upwork. Describe the project in detail. 8 website, 20 sizes, all brands Data is stored in AWS Redshift and visualised in Power BI. What was the team composition? Dataforest Marketing Lead Project Manager Sales Repr. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? Improved process of setting up prices. Improved transparency. How effective was the workflow between your team and theirs? Very effective. PM tool monday.com was used. What did you find most impressive about this company? Their quick replies and time-efficiency are impressive --- ## Portfolio & Awards ### Ottawa Healthcare Network A multi-location healthcare network in Ottawa needed better operational visibility across clinics, care teams, and patient workflows. As the organization expanded, data was fragmented across EHR, telehealth, scheduling, billing, insurance, and communication systems. Leadership lacked a reliable real-time view of patient flow, provider utilization, scheduling performance, and operational bottlenecks. The client needed a solution to: - Connect disconnected healthcare and operational systems.- Standardize workflows across multiple clinic locations.- Give leadership real-time visibility into clinic performance.- Reduce manual coordination between teams and systems.- Improve scheduling, provider utilization, and capacity planning. Our Solution - We implemented CareOps AI OS, an AI-driven operational intelligence platform for healthcare operations. - The platform unified data from 5 core systems into a single operational model. We connected EHR, telehealth, scheduling, billing, and communication data, then structured it into a consistent dataset for analytics, workflow automation, and decision support. - We also introduced standardized SOPs across locations, real-time dashboards for leadership, and predictive scheduling models that analyze appointment patterns, no-show risk, and demand fluctuations. The system helps clinics identify pressure points earlier and optimize provider capacity. Results 5 Systems Unified: The healthcare network gained one synchronized operational layer across core systems. 35% Less Administrative Workload: Automation reduced manual coordination and repetitive operational work. 25% Fewer Operational Bottlenecks: Real-time visibility helped teams detect and address issues faster. 100% Unified Operational Data Model: Fragmented clinic data was consolidated into one structured foundation. Conclusion CareOps AI OS helped the healthcare network move from fragmented operations to a unified, AI-driven management platform. ### Single Source of Truth for U.S. Manufacturer A U.S.-based industrial manufacturer growing through acquisitions needed a scalable data platform to unify fragmented ERP, sales, customer, and location data. Each acquired company used different systems, formats, and naming conventions, making executive reporting slow, manual, and difficult to trust. Project Overview The client needed a solution to: - Unify ERP and acquisition data into one reporting model - Reduce manual CSV and Excel consolidation - Standardize customer, sales, and location data across entities - Improve visibility into YoY sales, customer retention, and acquisition performance Our Solution We designed and implemented a scalable Medallion Architecture on Google Cloud Platform, featuring: * GCP Data Architecture: Built Bronze, Silver, and Gold data layers to structure raw, cleaned, and business-ready data. * Automated Data Processing: Developed a Python-based ingestion and validation framework to map, clean, and harmonize acquisition data. * ERP-Agnostic Integration: Created a standardized layer that processes exports from different ERP systems without rebuilding pipelines for every acquisition. * Power BI Reporting: Connected trusted Gold-layer datasets to Power BI for executive dashboards and acquisition-ready reporting. Results 70% Faster Acquisition Data Onboarding: New company data can now be integrated much faster through reusable processing templates. 80–90% Less Manual Processing: Manual Excel-based consolidation was replaced with automated validation and transformation workflows. 100% Unified Reporting Across Entities: Leadership gained a single source of truth for sales, customer, location, YoY performance, and retention reporting. Conclusion This data platform helped the manufacturer move from fragmented M&A reporting to an automated, scalable reporting foundation. With clean data pipelines, standardized models, and Power BI-ready outputs, the client can make faster decisions and support future acquisition growth with less operational. ### Reporting Platform for U.S. Dessert Franchise A U.S.-based dessert franchise operating across 34 states needed a scalable reporting platform to improve visibility across all locations. As the business expanded, fragmented data, complex nested structures, inconsistent sales formulas, and limitations in the existing solution made reporting slow, unreliable, and difficult to trust. Project Overview The client needed a solution to: - Consolidate franchise performance data across multiple locations.- Process new store data without duplication.- Standardize complex data into a clean reporting model.- Fix inconsistent sales metrics across dashboards.- Give leadership fast, validated performance visibility. Our Solution We rebuilt the reporting flow so franchise data could move from store uploads to executive dashboards quickly and accurately. First, we cleaned and organized complex store data into a structured reporting model. Then we improved the AWS Lambda process so it handled only new files and avoided duplicate data processing. We also reviewed and corrected the sales formulas that caused inconsistent numbers across reports. Finally, we connected the validated data to PostgreSQL and Amazon QuickSight, giving leadership clear dashboards with trusted performance metrics across all franchise locations. Results <5-Minute Data-to-Dashboard Latency: Leadership can now access updated performance data in minutes. 11 Executive Dashboards: The franchise gained validated dashboards for tracking performance across locations. 100% Reporting Issues Resolved: Corrected sales logic and standardized reporting restored trust in business metrics. Conclusion This platform helped the franchise move from fragmented reporting to a trusted, scalable performance visibility system. With clean data processing, validated sales logic, and executive dashboards, leadership can now monitor growth, compare locations, and make faster decisions across current and future stores. ### AI-Powered Virtual Hairstyle Try-On A U.S.-focused online beauty platform needed to create a new AI-powered product that would turn existing website traffic into revenue. The client wanted users to upload a selfie and instantly preview realistic hairstyles while preserving facial similarity and natural hair texture. The client needed a solution to: Generate realistic hairstyle try-ons from a single user selfie.Preserve the user’s facial features, skin texture, and identity.Create natural-looking hair texture across multiple styles.Launch a free trial widget to attract and convert website visitors.Manage registrations, paid transactions, generated photos, and support requests. Our Solution We developed a Gen AI hairstyle try-on platform using Stable Diffusion, multimodal LLMs, face swap, face analysis, and image processing technologies. The system allows users to upload a selfie, select hairstyle templates, and receive realistic generated photos in under 30 seconds. We tested different model settings, prompts, and face swap approaches to improve face resemblance and natural hair quality. We also built a free trial website widget with 21 standard hairstyles. The widget collects user emails during registration, helping the client turn website visitors into product leads. To support operations, we created an admin panel where the client can monitor user registrations, paid transactions, generated images, and support requests. Results 94% Model Accuracy: The solution generates high-quality hairstyle try-ons with strong visual realism. 90% User Face Similarity: Generated images preserve the user’s facial identity and natural look. <30-Second Photo Delivery: Users receive hairstyle previews quickly, improving product experience. 60+ Hairstyle Templates: The platform supports a broad range of realistic hairstyle options. Conclusion With this Generativ AI solution , fast delivery, lead capture, and admin control, the client gained a scalable digital product that improves user engagement and creates a new revenue channel. ### AI Voice Agent for Cold Calling A leading affiliate CPA network wanted to automate outbound sales conversations without losing the quality of human interaction. The client needed a real-time voice-to-voice AI agent that could speak naturally, handle noisy calls, use sales techniques, and connect with their internal CRM and ATS systems. Project Overview The client needed a solution to: Automate cold calling with natural voice conversations.Train the AI agent on sales scripts, product knowledge, objections, and upselling.Maintain strong speech recognition in noisy environments.Integrate call data with CRM and ATS workflows.Scale outreach while reducing cost per interaction. Our Solution We developed a real-time AI voice agent for two-way sales conversations. The system combines speech-to-text, voice activity detection, LLM reasoning, text-to-speech, and SIP-based call handling. We trained the AI using sales calls, scripts, and marketing materials, then built a RAG-based knowledge layer to support realistic sales conversations, objection handling, and upselling. To improve call quality, we added custom noise suppression so the agent could understand users even with background noise. We also integrated the solution with the client’s CRM and ATS to automate call logging, data synchronization, and workflow updates. Results <450 ms Response Latency: The AI agent responds fast enough to support natural, real-time conversations. 1:1–1.5 Sales Quality Ratio: The voice agent matches or exceeds human sales performance in key scenarios. Lower Cost per Interaction: Operating costs are under $4/hour, making outreach more scalable. CRM & ATS Automation: Call data is logged and synchronized automatically across internal systems.Conclusion  With real-time voice interaction, sales-trained AI, noise handling, and CRM/ATS integration, the company can increase outreach capacity, reduce operational costs, & maintain consistent conversion quality. ### Databricks Migration for Healthcare Lab A U.S.-based pathology laboratory needed to replace its fragmented Azure SQL environment with a scalable Databricks Lakehouse. The legacy system covered only part of the required functionality, lacked observability, and created growing limitations for analytics, compliance, and cost control. Project Overview The client needed a solution to: - Migrate diagnostics and billing data from Azure SQL to Databricks.- Unify 21 data sources into one governed analytics platform.- Convert legacy SQL scripts into automated production-ready jobs.- Support HIPAA-ready handling of sensitive patient data.- Improve observability, reporting, and AI/BI readiness. Our Solution We designed and implemented a Databricks-based Lakehouse platform, featuring: - Databricks Lakehouse Migration: Migrated data and pipelines from Azure SQL into a scalable Databricks environment.- Medallion Architecture: Built Bronze, Silver, and Gold layers to structure raw, cleaned, and business-ready data.- Automated Pipelines: Converted legacy SQL scripts into scheduled Databricks jobs with alerts, error handling, and real-time CDC ingestion.- Compliance-Ready Processing: Anonymized sensitive patient data to support secure healthcare analytics.- Data Observability: Added lineage tracking, monitoring dashboards, schema documentation, and alerts to improve data reliability.- Self-Service BI & AI: Delivered dashboards, SQL logic for 20 dashboards and widgets, 3 Genie spaces, and an ML-ready feature store with a denial prediction model. Results ~50% Compute Cost Reduction: Optimized pay-per-use architecture reduced annual compute costs from about $20K to about $10K. 21 Data Sources Unified: Diagnostics and billing data were consolidated into one governed Medallion Architecture. 3 Genie Spaces Deployed: Business users gained self-service BI capabilities for faster insights. AI-Ready Data Foundation: The client now has a scalable Lakehouse for reporting, predictive analytics, and future LLM-powered BI workflows. ### Software for Customer Emotion Tracking Client: State-operated banking company headquartered in Italy, active in several European countries with revenue of more than $40 bln. Challenge: The main goal is to measure the quality of customer satisfaction during the cooperation with each specific bank manager and create a system for tracking customer emotions. Results: Created a Computer Vision solution by means of cameras placed in front of each manager tracking customers’ faces and their emotions (positive, negative, neutral, etc). Analysis of customer emotions enables the administration to track customer satisfaction, as well as the work of each operator individually, hence reducing employee scarcity and the company’s expenses, thereby optimizing the work of departments. The system also analyzes conversation flows in order to control the quality of the managers' work. ### Stock Relocation Client: One of the largest Pharmacy networks in Eastern Europe with a 13k product list in more than 2k drug stores in 30 regions. Challenges: Create an optimal assortment list at each drug store, taking into account their individual specifics. Results: The mathematical model was built according to the location of drug stores, housing density, the routes of metro stations/transport junction, location of hospitals, fitness facilities, shopping/business centers, health, educational institutions/educational facilities, etc. Based on the 48 months of the company’s sales data analysis, were built clusters to determine the optimal assortment list for each drug-stores; Integration with POS terminals. Technologies: Core stack - Python, Pandas, Pyspark, SciPy, TensorFlow, Java; Database - PostgreSQL, Hadoop, Oracle, Mysql.   ### E-commerce Automation Client: US dropshipping company specializes in home furniture and accessories, deals with more than 130k orders monthly, and owns more than 1500 local stores with varying prices on the same products. Results: Created the system with a web interface for monitoring all product availability (12 mln items) with the biggest price variations. Built the full monitoring process (60 mln pages) with custom scripts through distributed microservice architecture. Added cross-checks of the same products on Amazon, Walmart, Lowe’s, etc. Created daily reports with wide statistics. Cashback tracking. Provided access to the system to the client's team with different roles. The tailor-made algorithm for the price arbitrage products gave a positive annual income impact up to $600k. 6 FTE reduction saved $240k annually. Reduced infrastructure annual costs from $60k to $12k. Improved customer experience. Reduced the number of canceled orders by 69%. ### Financial Intermediation Platform Client: The Infrastructure Deal Network - IDN   Project subject: Develop a deal origination platform for private equity investments in infrastructure-related sectors.   Challenges:    Build from scratch a secure interactive B2B platform with sign-up functionality to connect investment firms to proprietary investment opportunities. Build Internal Security Chat for Advisers and Investors. Empower application development with AI functionality.   Results:   Built web-native platform for interacting with Advisors, Investors, and Admins, with registration forms, custom dashboards, and the ability to place and conduct investment transactions. Developed and implemented AI matching algorithms in accordance with specified criteria for the optimal selection of transaction parties. Built a secure system for documents exchange and internal chat for transaction parties. Technologies: Web stack - Back-end - Python/Django REST Framework / Front-end - ReactJS; Database - RDS (Postgres);  Cloud solution: Amazon. ### Infrastructure Cost Reduction Project Subject:  ML startup has encountered infrastructure cost issues during the extensive growth. The main goal was to decrease the monthly operational cost ($75 K) for a large data-driven platform that handles  ~ 240 bln entries monthly ( ~ 30TB), storing raw data for 12 months on AWS. Challenges:  Create AWS infrastructure that performs 2k queries per second and has 99.9 % service availability. Optimize redundancy and 2 times decrease in the cost of infrastructure. Create a failover strategy and possibilities for a larger scale. Results: Cost reduction from $75k to $22k per month with performance 30% over SLA. Removed managed services and set up a self-hosted DB over EC2. Used a cluster of servers for DB sharding, adding Elasticsearch, Kafka, and Redis for different streams of data based on industry standards. Create master/master-slave mirroring in different regions to have a failover strategy. DB architecture was tuned to execute most often queries faster. Updated ETL pipelines to reduce the load on DB.  Technologies: AWS EC2, AWS RDS, PostgreSQL, Python, Kafka, Elasticsearch, Redis. ### Large-scale Data Parsing Client: Law Consulting firm in South America. The client automates, manages, classifies, and stores legal cases files, documents, and contracts of all kinds. Challenges:  To obtain data from millions of pages and documents through five different court websites and to avoid overloading them.  To collect data on a daily basis from the legal law case files. To collect not only structured data, but also embedded PDF, Word, JPG files, and other unstructured data. To keep scripts running continuously, to carry new cases files and update old ones if something changed.  Results: Created distributed architecture with Linux nodes and a dynamic pipeline that allows managing high peaks and set priorities. We scrape new cases files immediately during the daytime based on the site traffic and make massive updates during the nighttime. To overcome bot protection and to crawl 14.8 million pages daily we use proxies and special AI technologies. Each day we download about 14 Gb of necessary data. To keep data we use a cloud SQL database with daily dumps to Elasticsearch, meantime files directly upload to Elasticsearch. Technologies: Core stack - Python; Distributed task execution - Celery; Database - PostgreSQL; Search-engine - Elasticsearch; Cloud solution: GCP. ### Supply Chain Dashboard Client: A transnational company focused on the production of FMCG, products of which are represented in about 150 countries around the world. The company owns more than 400 brands. Challenges: The Reporting department (15 employees) receives daily massive amounts of data (invoices, payments, sales reports, etc) from suppliers, vendors, contractors. The data (PDF files, Excel, Google Sheets, etc from more than 100 systems of suppliers, contractors, vendors) is copied manually by the Reporting department. The Reporting department processes unstructured data analyzes information for trends and generates management reports. Operation process optimization and automation by building integration with all data sources. The reporting system for management and stakeholders development. Results: The developed system unifies unstructured data from all the sources of suppliers, vendors, contractors, and stores it in a structured way. The system monitors the data integration and identifies anomalies. The dashboard with multi-level filtering and dynamic mapping: consolidated dashboard for management; goods delivery reporting; KPIs performance control and prompt notification of the indicators deviations.  access for different groups of employees. 900 hours of manual work reduced monthly. Reports for management and stakeholders. Technologies: Core stack - Python, ReactJS, Django, Pandas; Database  - PostgreSQL; Cloud solution: AWS.   ### Web App for Dropshippers Client: The Software company that provides solutions to eCommerce store owners.   Project: Web App for Dropshippers   Project subject: Develop a subscription-based web app for dropshippers, where subscribers every week can get access to best-selling products sorted by categories from AliExpress.   Challenges: Develop from scratch a responsive web-native app with sign-up functionality (user and admin parts). Collecting and analyzing product/seller data from AliExpress/Alibaba. Integrate data with FB and TikTok.  Build a system to calculate subscriber profit and product statistics based on various factors and indicators. Mapping and displaying the best-selling product data within the app design (description, price, competitors, product ratings, etc). Integration with the payment systems. Results: Designed and built a mobile responsive web app with the user and admin parts. Built high-load scraping algorithms for extracting data from AliExpress/ FB/TikTok. Developed scrapers that get competitor product data from Shopify stores.  Developed AI algorithms that calculate for users the main economic indicators and profit margins. Developed payment system integration with various subscription functionalities.   Technologies:   Scraping stack - Python; Database -  PostgreSQL; Web stack - Back-end - Python/Django REST Framework / Front-end - ReactJS; Cloud solution: AWS. ### Business Digital Transformation Client: Ukrainian distributor for medical devices and drugs.   Challenges:  Reinvent process workflow from legacy (manual, off-line, paper) approach to new ways of working and thinking using digital, social, mobile, and emerging technologies. Improve customer experience and minimize operational risks. Change the way how suppliers, customers, and contractors interact with each other.  Our solution: CRM; Warehouse management system; Products delivery tracking; Suppliers, Customers, and Contractors working panels and dashboards; Built the whole process paperless by implementing a tailor-made web application that includes: the delivery process by integrating the application with a local delivery company; QR codes printing and tracking procedures; data-driven reporting. Technologies: Backend: Python /Django; Frontend: React; Database: PostgreSQL; Cloud solution - AWS. ### Bank Data Analytics Platform Client: Intellidex - financial services and consulting company with operations in South Africa, the UK, and the USA.   Project name: Bank Data Analytics Platform   Project subject: Develop a web app for the Client’s subscribers to query analytics about various banks.   Challenges: Build an interactive B2B web application with custom dashboards and analytics features. Develop a system that interrogates various sets of financial data, calling up time series. Empower application development with AI functionality.     Results: Web-native development from scratch with a design framed within the Client's existing website and UI/UX front-end to facilitate queries, algorithms, and visualizations. High-loaded AI scraping algorithms to generate a real-time database of financial bank data from various open-source websites and financial institutions. The developed system has calculations capacity that enables users to run algorithms on the data, such as comparing, rebasing, etc. and presenting data graphically, and/or downloading it in PDFs.   Technologies: Core stack - Python; Database - PostgreSQL; Web stack - Back-end - Python/Django REST framework / Front-end - ReactJS; Cloud solution: AWS. ### Performance Optimisation & Bottlenecks Elimination Project subject: FinTech company was looking for a DevOps partner to optimize their finance platform. The Infrastructure performance has undergone degradation. Processes stuck in queues for too long. The application started to become an operational bottleneck.  Challenges: Increase application performance, stability, and resilience. Identify and solve bottlenecks and vulnerabilities. Reduce operational costs.  Results: Performed a technical audit of the current AWS infrastructure. Created bottlenecks monitoring system. Re-developed parts of inefficient SQL queries and data pipelines.  Implemented Horizontal scaling and Microservice approach based on Docker managed by Kubernetes. 1,000% performance boost and 20% cost optimization. Technologies:  AWS, Kubernetes, Docker, Nginx. ### Infrastructure Audit and Intelligent Notifications Project subject: The US eCommerce company wants to unify all of its architecture in one cloud provider to eliminate legacy approaches and unmanaged servers. Due to technical debt and active development in the last 5 years, logging and notification systems have a lot of gaps that do not allow the Client to identify issues and react to them promptly. Challenges: Absence of technical documentation, and outdated business requirements. Complex IT infrastructure that utilizes multiple cloud providers.  Lack of system monitoring and any issue notification.  Lack of a software architect strategy. Results:  The current architecture was analyzed and raised recommendations for:  Single cloud provider taking into account system spread;  CI/CD process for new code deployment;  Server unification;  Security and vulnerability mitigation actions. Developed a strategy for Infrastructure and application scaling. Developed a monitoring and notification unified approach. Zabbix logging is implemented, hence all servers and DBs are covered with monitoring. PagerDuty was settled on the call system. Creating a monitoring system has improved reaction speed and reliability and had a 200% impact on performance. Technologies: GCP, AWS, UBUNTU, PagerDuty, Zabbix, Grafana, MongoDB, PostgresDB. ### Clutch Awards - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/clutch_1000_2023_award.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/global_award_2023.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_bi__big_data_company_2023_award.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_artificial_intelligence_company_2023_award.svg) ### Industry Recognitions - 20 Everyday Challenges For Tech Leaders - 20 Essential Steps For Successful Automation - Forbes Technology Council Partner - Best WebDev Companies You Should Consider in 2024 - Best AI Development Development Companies in 2024 - Databricks Consulting Partner - Emerging Europe Interview - Forbes Council - Top e-Commerce Startups in Kyyiv - What is Data Engineering in Data Science - #9 Top Big Data Consulting Companies - Top IT Outsourcing Companies - Top Python Development Companies - #2 Best Web Dev Companies to Consider in 2022 - #1 BEST Web Dev Companies to Watch out For in 2022 - #2 on Best 48 E-commerce Development companies - #4 on Best 38 Big Data companies - FUTURE OF IT REPORT 2022 - Top Big Data And BI Company - #2 Top Ukraine Database Startups - #1 Top Kyiv Database Startups - Top Rated Plus Agency 100% Job Success on Upwork - #2 The Most Innovative Database Company in Kyiv ## Key Clients - AM Trading ## Packages ## About the Team ### Our Story DATAFOREST gives US and global executives access to a senior in-house team of 150+ engineers, data scientists, PMs, and cloud specialists led by experts with healthcare, banking, insurance, retail, e-commerce, cybersecurity, and consulting experience. Since 2017, we’ve delivered 250+ projects for 200+ clients, combining data engineering, AI, and high-load software development to reduce delivery risk and create measurable business value. ## Verification Premier Verified means Clutch independently confirmed DATAFOREST is a legally registered business, financially sound (Creditsafe: Moderate Risk), and backed by 26 verified client reviews averaging 5.0 stars. - Verified Client Reviews: 26 - Overall Review Rating: 5.0 Last Updated: 2026-07-30T12:22:30Z ### Business Entity - Business Entity Name: Dataforest OÜ - Source: Centre of Registers and Information Systems - Jurisdiction of Formation: Estonia - Date of Formation: May 21, 2019 - Status: Active - Last Updated: November 23, 2021 - ID: 14727250 ### Credit Report Results - International Credit Risk Assessment: Moderate Risk - Source: Creditsafe - Last Updated: September 19, 2024 ## Locations (2) ### Kyiv, Ukraine (Headquarters) - Solomenskaya, 15a - Kyiv 02000 - Ukraine - 50 - 75 employees - Phone: +16469050356 ### Tallinn, Estonia - Sakala 7 - Tallinn 10141 - Estonia - 50 - 75 employees - Phone: +16469050356 ## Connections - Nir Levy (GG Digital Marketing Agency) - Uliana Piasta (Progresia) ## Contact DATAFOREST [Send a message](https://clutch.co/profile/dataforest) ### Connect on Social - [LinkedIn](https://www.linkedin.com/company/dataforest) - [Facebook](https://www.facebook.com/dataforest/) - [X](https://twitter.com/dataforestai) - [Instagram](https://www.instagram.com/dataforest_agency/)