# Muttdata Muttdata Reviews (16), Pricing, Services & Verified Ratings - 4.9 out of 5 average review rating - 1 connections joined Muttdata's Network [Visit Website](https://muttdata.ai/) [Get a Custom Proposal](https://clutch.co/profile/muttdata) **Guiding companies into an AI fueled future** We craft AI and data-driven technology with precision and empathy, transforming complexity into scalable solutions that deliver smarter business outcomes. More than builders, we are trusted advisors, combining deep technical expertise with a human-centric approach to help businesses navigate challenges with clarity and confidence. Ownership is at the heart of everything we do—we proactively tackle challenges and treat our clients’ goals as our own, delivering solutions with accountability and long-term impact. We believe that technology is not just a tool—it’s a craft. And when shaped with care, foresight, and expertise, it creates solutions that are not only transformative but also built to last. Backed by a team of 200+ specialists and over 300 completed projects, our impact is recognized across the industry. We were awarded **Databricks’ LATAM Enterprise AI Partner of the Year 2025** and hold multiple AWS recognitions as Advanced Consulting Partners. We are also the only **SOLA partner certified in the Advertising & Marketing Technologies Competency,** alongside the Machine Learning Consulting Competency—reinforcing our leadership in data, AI, and scalable technology. ## Company Information - Number of employees: 50 - 249 - 2 Locations: - Montevideo, Uruguay (Headquarters) - Buenos Aires, Argentina - Founded in 2018 ## Services, Focus Areas, Industries, and Clients ### Service Lines - 35% AI Development - 30% BI & Big Data Consulting & SI - 15% Generative AI - 10% IT Strategy Consulting - 5% AI Consulting - 5% Cloud Consulting & SI ### Focus Areas - BI & Big Data Solutions: - 90% Other BI & data solutions - 10% Hadoop - Generative AI Focus: - 40% AI Image Generation - 30% AI Speech Generation - 30% AI Text Generation - AI Expertise: - 40% Machine Learning - 20% AI Recommendation Systems - 15% Computer Vision - 15% Natural Language Processing - 10% Chatbots & Conversational AI - Digital and IT Strategy Consulting Focus: - 30% IT Assessment - 30% IT Consolidation - 20% Digital Transformation - 20% IT Governance - BI & Big Data Focus: - 30% Marketing analytics - 20% Data Compliance, Fraud & Risk Management - 20% IT security & crime prevention - 20% Other BI & analytics - 10% Operations & process improvement - AI Technologies & Models: - 20% Anthropic - 20% Facebook OPT - 20% GPT-J - 15% Hugging Face Bloom - 15% Open AI GPT-3 - 10% Stable Diffusion ### Industries - 10% Medical - 10% Telecommunications - 25% Advertising & marketing - 20% eCommerce - 20% Financial services - 15% Gaming ### Clients - 10% Small Business (<$10M) - 60% Midmarket ($10M - $1B) - 30% Enterprise (>$1B) ## Pricing Snapshot Average rating for cost based on this provider's reviews: 4.6 out of 5 **What Clients Have Said** *(This summary is based on verified Clutch reviews.)*: Mutt Data offers competitive pricing with a good value for cost, as highlighted by multiple clients. Project costs range from $40,000 to $200,000, with team sizes typically between 2-10 employees. Clients appreciate their tailored solutions and effective communication throughout projects. **Most Common Project Size**: $50,000 to $199,999 based on 12 reviews *(Pricing information for this provider is based on reviews where the project size was available.)* ### Pricing by Service - BI & Big Data Consulting & SI: $50,000 to $199,999 based on 5 reviews - Custom Software Development: $10,000 to $49,000 based on 4 reviews - Other IT Consulting and SI: $50,000 to $199,999 based on 3 reviews - Cloud Consulting & SI: $200,000 to $999,999 based on 2 reviews - IT Strategy Consulting: $50,000 to $199,999 based on 2 reviews - Digital Engineering: $10,000 to $49,000 based on 1 review - Enterprise App Modernization: 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) ### Muttdata Review Insights Overall Review Rating: 4.9 - Quality: 4.9 - Schedule: 4.8 - Cost: 4.6 - Willing to Refer: 4.9 ### Top Mentions - Communicative (8 mentions) - Easy to work with (5 mentions) - Timely (5 mentions) - Well-organized projects (4 mentions) - Knowledgeable (3 mentions) - Professional (3 mentions) - Accessible (2 mentions) - Efficient (2 mentions) - High-quality work (2 mentions) - Team players (2 mentions) - Unique expertise (2 mentions) - Accommodating (1 mentions) - Creative (1 mentions) - Customized support (1 mentions) - Detail-oriented (1 mentions) - Exceeds expectations (1 mentions) - Experienced (1 mentions) - Great project management (1 mentions) - Great team (1 mentions) - Proactive (1 mentions) ### Review Highlights **Responsive and Adaptive Team** Clients commend Mutt Data's responsiveness and adaptability. They are quick to troubleshoot and offer creative solutions, ensuring smooth collaboration and project success. **Successful Cost Optimization and Efficiency Gains** Projects with Mutt Data often result in reduced operational costs and improved efficiency. Clients report significant savings and enhanced process performance as a result of their collaboration. **Lack of Proactivity in Tool Adoption** While Mutt Data delivers high-quality solutions, some clients noted a need for more proactive promotion of new tools across their organization. This suggests potential improvement in user adoption strategies. **High-Quality Machine Learning Solutions** The company develops impactful ML models, improving client metrics like fraud detection and demand forecasting. Their solutions are technically robust and tailored to specific client needs. **Room for Improvement in Project Execution** One client indicated areas for improvement in project execution, highlighting that while Mutt Data is knowledgeable, there is potential to enhance the execution process for better outcomes. **Proficient in Data Infrastructure Modernization** Mutt Data excels in modernizing data platforms, reducing data freshness lag, and enhancing governance protocols. Clients appreciate their ability to integrate seamlessly and deliver on complex data challenges, laying a foundation for AI-driven innovations. **Effective Project Management and Communication** Mutt Data is praised for their clear communication, timely delivery, and organized workflows. They employ effective tools and frequent syncs, ensuring projects stay on track and meet client needs. **Strong Expertise in Data Consulting** Clients value Mutt Data's comprehensive knowledge in data structures and ability to provide tailored solutions. Their approach is organized and agile, offering a strategic service rather than a generic implementation. **Impressive Technical and Industry Expertise** Mutt Data's team is recognized for their technical prowess and industry knowledge. They are seen as 'The Gurus' in Data Engineering and Data Science, providing innovative solutions to complex problems. ### Muttdata Reviews #### Data Warehouse Development & Implementation (Featured Review) **The Project** - Services: BI & Big Data Consulting & SI - Project size: $50,000 to $199,999 - Project length: July 2020 - Ongoing **Project Summary**: A surplus medicine company partnered with Mutt Data to help create its data warehouse. The goal is to help the client maximize and consolidate all of their data in a single place. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Co-Founder, SIRUM - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review **The Review** — Dec 8, 2022 **Feedback Summary**: The Mutt Data team’s robust expertise and enthusiasm for the project made them valuable partners. They were communicative, organized, and proactive throughout the engagement. Both managed to keep all the key members in the loop. ""Not only did this allow for a robust tailored solution but also for a cost-effective one."" **BACKGROUND** Please describe your company and your position there. I’m the Co-Founder and CTO of the largest redistributor of surplus medicine in the USA. Powered by technology, our company helps organisations like nursing homes, pharmacies and manufacturers to donate their unused medicine and get it to where it’s needed most. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? In order to truly leverage our data for decision making we needed to develop our first Data Warehouse where we could consolidate data from all our sources in one place. This was a necessary step in order to become a data-driven company. We needed an experienced vendor to advise us on the best possible solution considering all tradeoffs. **SOLUTION** How did you select this vendor and what were the deciding factors? Their team came highly recommended. We felt comfortable working with a company with their positive track record. Describe the project in detail and walk through the stages of the project. The vendor began by taking the time to understand our current context, this included talking about our infrastructures, current pain points, needs, and data sources, teams, and processes. This was all part of what they called the Discovery Phase. After that, we moved on to the setup of different technical and communication tools. Finally development itself began, followed by the implementation and deployment of the solution. In regards to the solution itself: the implementation consisted of implementing Airbyte to consume data from MySQL, Quickbook, and other sources. DBT for transformations, Airflow for orchestration and Quicksight for dashboard capabilities. How many resources from the vendor's team worked with you, and what were their positions? We generally worked together with a team of six experts who were specifically assigned to our project. Our main contacts were the team's dedicated tech lead and one of the vendor's co-founders. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? Integrated dashboards How effective was the workflow between your team and theirs? From day one, working with the vendor was easy going. They made a visible effort to keep in sync and all relevant people were always in the loop. The use of weekly meetings, task tracking systems and a clear roadmap made the workflow run smoothly. Their team was always readily available. What did you find most impressive or unique about this company? I appreciated their extensive experience building cloud and data infrastructures as well as full stack machine learning systems. Not only did this allow for a robust tailored solution but also for a cost-effective one. Are there any areas for improvement or something they could have done differently? We’ve been working together with the Mutt Data team for several years, suggestions are usually applied so there are not really improvements to be made at the moment. --- #### Enterprise App Modernization for Safety Platform Co **The Project** - Services: BI & Big Data Consulting & SI, Cloud Consulting & SI, Enterprise App Modernization - Project size: Confidential - Project length: Aug. 2024 - Aug. 2025 **Project Summary**: Mutt Data modernized a safety platform company's data infrastructure. The team redesigned ingestion pipelines, implemented data quality checks, and created governance protocols. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Director of Data Science, RapidSOS - Industry: Other industries - Client size: 51-200 Employees - Review Type: Online Review - Verified **The Review** — Aug 6, 2025 **Feedback Summary**: Mutt Data reduced data freshness lag from 24 hours to under four hours and improved pipeline observability and resilience. The team integrated seamlessly with the client's team, communicated clearly, and consistently delivered milestones on time. The team's responsiveness and adaptability were key. ""The collaboration was highly effective from start to finish."" **BACKGROUND** Please describe your company and position.I am the Director of Data Science of RapidSOSDescribe what your company does in a single sentence.RapidSOS is a safety platform that connects real-time, life-saving data from 540M+ devices directly to emergency responders to improve global emergency response. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?We hired Mutt Data to modernize our data platform to improve data freshness, operational efficiency, and governance, while laying the foundation for future AI-driven innovation **SOLUTION** How did you find Mutt Data?We selected Mutt Data based on their strong industry reputationWhy did you select Mutt Data over others?High ratingsGood value for costHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Mutt Data led a complete modernization of our data infrastructure. This included redesigning ingestion pipelines, implementing real-time data quality checks, governance protocols, and cost optimizations through compute right-sizing and cluster policies **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Reduced data freshness lag from 24 hours to under 4 hours.Enhanced governance with full data lineage tracking.Improved pipeline observability and resilience.Estimated 5–15% reduction in infrastructure costs.Laid the groundwork for scaling AI-driven emergency insights.Describe their project management. Did they deliver items on time? How did they respond to your needs?Mutt Data integrated seamlessly with our team, communicated clearly, and consistently delivered milestones on time. Their responsiveness and adaptability were instrumental to the project’s success.What was your primary form of communication with Mutt Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Their ability to deeply understand our technical and operational needs while maintaining open, collaborative communication made them feel like an extension of our own team.Are there any areas for improvement or something Mutt Data could have done differently?None that come to mind. The collaboration was highly effective from start to finish. --- #### BI & Big Data Consulting & SI for FinTech Company **The Project** - Services: BI & Big Data Consulting & SI - Project size: Confidential - Project length: Sep. - Nov. 2023 **Project Summary**: Mutt Data provided data consulting services for a fintech company. The team was responsible for creating a solution to optimize the client's data replication system, modeling, and architecture. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** VP of Engineering, Clip - Industry: Financial services - Client size: 501-1,000 Employees - Review Type: Online Review - Verified **The Review** — Nov 18, 2024 **Feedback Summary**: Mutt Data successfully implemented the discovery phase and delivered a comprehensive client data blueprint. The team applied an organized, process-based workflow and communicated frequently via virtual meetings. Their extensive knowledge and expertise in data structures impressed the client. ""Their expertise is evident—they know exactly what to do, where to look, and can anticipate future issues."" **BACKGROUND** Please describe your company and position.I am the VP of Engineering of ClipDescribe what your company does in a single sentence.Mexico’s Clip is the leading financial ‌ecosystem of the country and was born with the mission to help businesses have a platform for digital payments.  **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?Strengthen our data replication system andRethink how we did data modelling. Find an alternative to the technologies we were using to store and use data. Migrate from Data WarehousesOur Finance team was looking to automate reports, consolidate data sources into a Single Source of Truth (SSOT) and reduce time spent in manual input, processing and validation of data. **SOLUTION** How did you find Mutt Data?ReferralOtherWhy did you select Mutt Data over others?High ratingsPricing fit our budgetGood value for costReferred to meHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The project entailed surveying and arriving at a thorough understanding of how Clip could improve work with data, data consolidation, data modelling and data architecture. This is the first step on a bigger project. The key deliverable here is to find out exactly how to take the pain out of our pain points and come up with a solution to our needs. A big positive is that they do not provide a canned solution, but rather a tailored solution specific to our needs.  **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Mutt successfully implemented the discovery phase where they arrived at very fruitful conclusions and delivered a comprehensive blueprint of the state of things. Moreover they provided an integral solution to all of our problems and a roadmap with how the implementation will work. As a concrete outcome we have a thorough understanding of why we should migrate to a different data architecture and how to implement the solution.Describe their project management. Did they deliver items on time? How did they respond to your needs?Process-based work makes for agile and organised workflows. Communication was hassle-free and the correct tools and meetings were used to keep the workflow efficient between the two teams. We have no complaints in regard to workflow, their team was always available and communicative. Syncs were frequent and effective.What was your primary form of communication with Mutt Data?Virtual MeetingWhat did you find most impressive or unique about this company?Their comprehensive knowledge of data structures and  their positive predisposition to listen to our needs.Mutt’s Data team thrives on tackling data challenges, always brainstorming and proposing the best solutions. Their approach is unique, organised, and agile, making them easy to work with and highly communicative. The work gets done efficiently. Their expertise is evident—they know exactly what to do, where to look, and can anticipate future issues. Instead of a generic implementation, you receive a comprehensive data strategy service.Are there any areas for improvement or something Mutt Data could have done differently?We are very satisfied with Mutt's overall delivery and will continue working with them in the future. --- #### Custom Software Development for Music Industry Blockchain Co **The Project** - Services: Custom Software Development - Project size: $50,000 to $199,999 - Project length: May 2023 - Mar. 2024 **Project Summary**: Mutt Data developed a recommendation system and a social media newsfeed for a music industry blockchain company. The team also created a data collection foundation and a data warehouse. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO & Founder, Bombo - Industry: Information technology - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Oct 1, 2024 **Feedback Summary**: Mutt Data's high-quality work improved the average number of artists followed by users from 6 to 14, the user base by 12%, and daily active users by 23%. The team delivered on time, responded and adapted to needs, and communicated clearly. Their efficiency and thoroughness were impressive. ""We couldn't have asked for a better partner."" **BACKGROUND** Please describe your company and position.I am the CEO and Founder of BomboDescribe what your company does in a single sentence.Bombo is reshaping the music industry by leveraging blockchain and NFT technology to combat ticket fraud in the electronic music community, ensuring transparency and security while turning each ticket into a unique NFT for traceability and resale on platforms. Beyond ticketing, Bombo aims to be a hub for the electronic music community, fostering interaction among DJs, producers, and enthusiasts through customizable profiles, event updates, and news. Their vision includes GenAI for producers' social platforms and immersive "in-show" experiences, enhancing real-time interaction with artists. Bombo is transforming ticketing and shaping a vibrant, connected electronic music community where new artists can emerge. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?Bombo embarked on the challenge of uniting diverse individuals with a shared passion for DJs and events to build a dynamic community. In order to do so, the client required a finely-tuned recommendation system that catered to both artists and their followers, aka “bombers”. This system, like those on other social media platforms, had to consider crucial variables like listening history, event attendance, and platform connections.As a new startup, Bombo faced an additional hurdle – limited data, making it a tougher task to devise effective strategies for recommendations. The founders envisioned Bombo as a supportive space for emergent artists struggling against the industry’s high entry barriers. The recommendation system also aims to be a guiding force for up-and-coming talents. **SOLUTION** How did you find Mutt Data?ReferralWhy did you select Mutt Data over others?High ratingsGreat culture fitCompany values alignedHow many teammates from Mutt Data were assigned to this project?6-10 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The vendor successfully designed and implemented a recommendation system and a social media newsfeed from the ground up. The project also included the creation of a solid foundation for data collection, filtering, and consolidation that facilitated a 360-view of the customer and KPI dashboards as well as a dedicated data warehouse **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Increase the average number of artists followed by users from 6 to 14Track essential KPIs agilely, measuring and analyzing the impact of different marketing campaignsIncrease their user base by 12% in 6 monthsDaily Active Users: Increased by 23%Describe their project management. Did they deliver items on time? How did they respond to your needs?Mutt Data’s project management was highly effective. They consistently delivered items on time, adhering to deadlines and keeping the project on track. Their team was responsive and adaptive to our needs, ensuring clear communication throughout the process.Whenever we had new requests or adjustments, they quickly understood and implemented the changes without delay. Their ability to align with our goals and maintain flexibility helped ensure the success of the recommendation algorithm for Bombo. Overall, they were reliable and proactive partners.What was your primary form of communication with Mutt Data?Virtual MeetingWhat did you find most impressive or unique about this company?What impressed us most about Mutt Data was the exceptional quality of their work, combined with their high level of professionalism. Their team demonstrated a deep understanding of our project needs, delivering solutions that were not only technically robust but also tailored to the specific requirements of Bombo's platform.They worked efficiently, meeting deadlines without compromising quality. Their approach was structured and thorough, yet flexible enough to adapt to our evolving needs. The result was a highly effective and impactful recommendation algorithm.Are there any areas for improvement or something Mutt Data could have done differently?Honestly, we don’t have any suggestions for improvement. Out of all the companies we’ve worked with when outsourcing services, Mutt Data has been the most professional and efficient. Their work exceeded our expectations, and their ability to understand and deliver exactly what we needed was outstanding. We couldn’t have asked for a better partner. --- #### BI, Analytics & IT Consulting for Retail Company **The Project** - Services: BI & Big Data Consulting & SI, Cloud Consulting & SI, IT Strategy Consulting - Project size: $200,000 to $999,999 - Project length: Jan. - Dec. 2023 **Project Summary**: Mutt Data helped a retail company with BI, analytics, and IT consulting. The goal was to implement a new modern data stack for the client's future data objectives. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CIO, Forus S.A. - Industry: Retail - Client size: 1,001-5,000 Employees - Review Type: Online Review - Verified **The Review** — Jul 3, 2024 **Feedback Summary**: Mutt Data successfully implemented a modern data stack on time. The team had clearly defined the stages and followed a pre-established road map. They impressed the client with their unique and organized work approach. Customers can expect a team with a high level of expertise. ""They were easy to work with and communicative."" **BACKGROUND** Please describe your company and position.I am the Chief Information Officer of Forus S.A.Describe what your company does in a single sentence.Retail **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?IT ConsultingBI & Analytics **SOLUTION** How did you find Mutt Data?ReferralWhy did you select Mutt Data over others?High ratingsGreat culture fitCompany values alignedHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Our company wanted to create a foundation to give our clients real-time follow-up options. This included helpful user recommendations before and after purchases to boost our overall customer experience. To make our customer journey better, we decided to bring together product info and operations, reviewing our current setup, processes, and best practices to make sure everything was set up just right. This challenge was solved in the form of implementing a new Modern Data Stack to serve as a foundation for our future data objectives. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Mutt delivered the project with a clear modus operandi from day one. The company designs the project based on clearly defined stages that follow a pre-established roadmap. These stages were: DiscoveryChannel and comm setup and Kick-offdevelopmenttesting and hardeningimplementationknowledge transfer. I can particularly mention that discovery was a great kickoff to get both teams on the same page and align our goals and expectations.Describe their project management. Did they deliver items on time? How did they respond to your needs?We successfully implemented a Modern Data Stack on time What was your primary form of communication with Mutt Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?The team at Mutt Data genuinely enjoys a data challenge and it can be seen in how they brainstorm and propose solutions looking to find the best solution.Their way-of-work is very unique, organized, and agile. They were easy to work with and communicative. The job gets done.The level of expertise, you can tell they know what to do, where to look, what problem you might face in the future. You don’t get an out of the box implementation, you get a data strategy service.Are there any areas for improvement or something Mutt Data could have done differently?None --- #### IT Consulting, BI & Analytics for Financial Services Co **The Project** - Services: BI & Big Data Consulting & SI, Other IT Consulting and SI - Project size: Confidential - Project length: Nov. 2020 - Mar. 2022 **Project Summary**: Mutt Data helped a credit card and financial services company with IT consulting, BI, and analytics. Their work included discovery, data preparation, solution development and deployment, and knowledge transfer. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 4.0 **The Reviewer** Tech Lead, Financial Services Company - Industry: Financial services - Client size: 1,001-5,000 Employees - Review Type: Online Review - Verified **The Review** — Jun 7, 2023 **Feedback Summary**: Mutt Data was able to handle more than 2 million accounts and successfully reduced errors through early detection. The team followed a clear plan with pre-defined stages and sub-stage milestones. Moreover, they were quick, direct, organized, and open to feedback, and they offered creative solutions. ""We were satisfied with their work ethic, the results, and how it all turned out."" **BACKGROUND** Please describe your company and position.I am the Tech Lead of a financial services companyDescribe what your company does in a single sentence.Credit Card and Financial **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?BI & AnalyticsIT Consulting **SOLUTION** How did you find Mutt Data?ReferralWhy did you select Mutt Data over others?Good value for costCompany values alignedHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The project begun with a discovery phase (basically getting our teams, processes, tools, and comms aligned), moved on to the kick-off and data preparation phase, then the development phase of the solution itself, and finally implementation, deployment, hardening, and knowledge transfer **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?The vendor handled more than 2 Million accounts and successfully reduced errors through early detection.Describe their project management. Did they deliver items on time? How did they respond to your needs?The vendor followed a clear project plan with pre-defined stages and sub-stage milestones.What was your primary form of communication with Mutt Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?The company is quick on their feet, when doubts or issues arise they are quick to troubleshoot and offer creative solutions. Feedback and comments are always clearly given thought, with alternatives and specific suggestions.The clarity given to the project. They are very direct and clear on processes, goals, roadmaps, etc. It is much easier to work in an organized, clear manner when everyone is no the same page and knows what to expect. They have a very complementary team, each assigned team member has a specific role and field of expertise that adds value to the projectAre there any areas for improvement or something Mutt Data could have done differently?All in all, we were satisfied with their work ethic, the results, and how it all turned out. --- #### Custom Software Dev for FinTech Company **The Project** - Services: BI & Big Data Consulting & SI, Custom Software Development, Digital Engineering - Project size: $10,000 to $49,999 - Project length: Jan. - June 2019 **Project Summary**: Mutt Data developed an ML-based credit scoring system for a fintech company. Their responsibilities included problem discovery, data exploration, analysis, proof of concept creation, and system automation. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Owner & Manager, NAT - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — May 3, 2023 **Feedback Summary**: Mutt Data's work enhanced the client's FPD prediction by 10% and market reachability by 20%. The team was responsive, collaborative, and easy to work with. Their work ethic and clear processes ensured the timely delivery of the project. They discussed all workflows and simplified the scheduling. ""The project progressed smoothly, and the teams collaborated seamlessly."" **BACKGROUND** Please describe your company and position.I am the owner, manager of NATDescribe what your company does in a single sentence.NAT is a Consultancy Company specialized in banking, Fintech and IT. We offer high-quality consultancy services in risk management, business intelligence development, credit tracking and rating, data mining solutions, big data and statistical model development for segmentation, rating, and prediction. We transform research, experience and knowledge in business solutions. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?Share knowledge and innovationcomplement our financial business knowledgement to achieve statistical understanding of the links between clients in the bank through graphs and other techniquesIntegrate with our team and the client's **SOLUTION** How did you find Mutt Data?ReferralWhy did you select Mutt Data over others?High ratingsGreat culture fitReferred to meCompany values alignedknowledge and technical capabilitiesHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.We needed to develop a machine learning based credit scoring system to reduce effective first payment default (FPD), increase product competitiveness by leveraging non-traditional data, and increase new clients risk coverage by at least 15%. The project followed a process that included problem discovery, raw data exploration and analysis, a graph proof of concept on limited data, integration of graph features into the first payment default (FPD) model proof of concept, results validation, data infrastructure for the full graph, full FPD on the full graph, and system automation. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?The project achieved significant improvements in default FPD prediction, with a 10% increase compared to the baseline. There was also a 20x improvement in market reachability through telephone contacts. Additionally, the social info or community features were found to be among the top-10 high predictive features.Describe their project management. Did they deliver items on time? How did they respond to your needs?The project progressed smoothly, and the teams collaborated seamlessly. All workflow processes were discussed and set previous to starting work on the project itself and the decided upon tools and best practices were carried out throughout the project. Scheduling was made very easy for us, their team was comprehensive of our times and priorities and took them into consideration.What was your primary form of communication with Mutt Data?In-Person MeetingVirtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Their work ethic is impressive as they always have a clear direction and specific goals in mind. Attention to detail and a focus on process ensures that deadlines are met and the work is completed properly. Our objectives were achieved and the project was completed as programmed.Are there any areas for improvement or something Mutt Data could have done differently?No major area for change comes to mind. --- #### Machine Learning & Data Migration for E-Commerce Group **The Project** - Services: BI & Big Data Consulting & SI - Project size: Confidential - Project length: Jan. 2020 - Ongoing **Project Summary**: Mutt Data has developed machine learning models and migrated data for an e-commerce group. They've learned about the technologies involved and tested the system's functionality throughout the process. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Data Science Manager, Trafilea - Industry: Advertising & marketing - Client size: 201-500 Employees - Review Type: Online Review - Verified **The Review** — Mar 2, 2023 **Feedback Summary**: Mutt Data has produced excellent deliverables, and the client is pleased with the results; they hope to work with the team again. Their expertise and innovation enable them to apply simple fixes to complicated problems. Everything has been completed on time, and the team is easy to reach. ""Project deliverables were of high quality and satisfied budget and time constraints."" **BACKGROUND** Please describe your company and position. I am the Data Science Manager of Trafilea Describe what your company does in a single sentence. Trafilea is an e-commerce group that builds and scales global direct-to-customer brands with a positive impact. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish? Support to build robust ML models with marketing purposes Improve and migrate our data infrastructure to a robust one **SOLUTION** How did you find Mutt Data? Referral Why did you select Mutt Data over others? High ratings Good value for cost Referred to me What was the size of Mutt Data’s team? 2-5 Employees Describe the scope of work in detail. Please include a summary of key deliverables. The project was organized into different phases. At first the teams took some time to get to know each other, the technologies, tools and processes currently used and goals. After that, tool setup, development and implementation followed. The vendor also organized different checkpoints to show progress and verify performance of the systems as they evolved. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success? Deadlines accomplished Availability, deliverability and tech quality Describe their project management. Did they deliver items on time? How did they respond to your needs? Project deliverables were of high quality and satisfied budget and time constraints. We are satisfied with the results and look forward to extending the solution. What was your primary form of communication with Mutt Data? Virtual Meeting What did you find most impressive or unique about this company? The knowledge and professionalism they manage. I can say they are "The Gurus" in Data Engineering and Data Science field. Also, they are really smart when it's necessary to manage high complexity, and also identifying good opportunities to solve difficult situations with simple solutions when it's possible. Are there any areas for improvement or something Mutt Data could have done differently? We continue to work together, iterating our experience as we go so it’s a continuous improvement cycle itself. --- #### Custom Platform Dev for E-Commerce Technology Company **The Project** - Project size: $200,000 to $999,999 - Project length: Sep. 2020 - Dec. 2022 **Project Summary**: An e-commerce technology company hired Mutt Data to develop a platform where they could rank advertisers. After a discovery phase, they implemented a conversion rate and click-through estimator. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Senior Product Development Manager, Mercado Libre - Industry: Other industries - Client size: 10,001+ Employees - Review Type: Online Review - Verified **The Review** — Feb 8, 2023 **Feedback Summary**: Thanks to Mutt Data, the company significantly reduced their costs while maintaining target ROI and gross merchandise value. They were excellent at meeting deadlines and maintaining an efficient workflow. Further, they took the time to understand every situation, which the client highly appreciated. ""The team was always available, and we had no hiccups."" **BACKGROUND** Please describe your company and your position there. ’m the Software Development Manager for the largest online commerce and payments ecosystem in Latin America. We enable e-commerce and digital and mobile payments on behalf of our customers by delivering a suite of technology solutions across the complete value chain of commerce. We are present in 18 countries. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? The company needed to improve the current sponsored listing system, conciliating ads revenue maximization with seamless marketplace (i.e. organic) listing integration. The key was for the solution to avoid being detrimental to the marketplaces functioning or traffic. **SOLUTION** How did you select this vendor and what were the deciding factors? Through a referral, they had a proven track record working with trusted companies/colleagues We met with different vendors. Their engineers were great communicators /very knowledgeable. Most importantly, Mutt Data has a great culture and working with them is very easy. Mutt Data fit the skill and budget profile we needed for our project. Describe the project in detail and walk through the stages of the project. The project was organised into clear phases. During the Discovery Phase, the vendor went over our current status, data, infrastructure and business goals. With a milestone based plan and roadmap we moved on to KickOff where all the necessary tools and communication channels were set up. After that, the vendor dove into development, implementation, deployment and hardening and finally what they called Knowledge transfer. The solution consisted of creating a platform over which our company could rank advertisers, decide on the cost of advertising spaces and filter bad quality ads in order to sustain organic GMV on the platform. During the project the vendor proposed and implemented a Conversion Rate Estimator and Click-Through Rate Estimators. How many resources from the vendor's team worked with you, and what were their positions? We worked with about 6 dedicated resources. The members had different positions and seniorities but there was an assigned Tech Lead dedicated specifically to the project and we had frequent contact and follow-ups with two of the companies founders (CRO and CTO). **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? Costs were reduced significantly while maintaining target ROI and GMV. The developed system is currently functioning with improved results. All deadlines were met. How effective was the workflow between your team and theirs? Their team was very communicative, follow-ups were frequent and there were clear processes and tools in place to maintain an efficient workflow. The team was always available, and we had no hiccups. What did you find most impressive or unique about this company? Communication Skills & Strong Culture based on continuous learning Their team had been carefully selected for the project at hand, they were very dedicated, great communicators. The solution was clearly tailormade. Their team was great to work with, they really took the time to understand our current situation in order to work on a lasting solution. Are there any areas for improvement or something they could have done differently? No clear areas for improvement stand out. The vendor is open to suggestions and changes. --- #### Ads Waterfall Optimization for Technology Company **The Project** - Services: Other IT Consulting and SI - Project size: $50,000 to $199,999 - Project length: Jan. - Dec. 2022 **Project Summary**: Mutt Data helped a technology company with Ads waterfall optimization. After dividing the project into phases, the team researched, designed, implemented solutions with ML strategy, and created MLOps. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** AdTech Engineering Manager, etermax - Industry: Gaming - Client size: 501-1,000 Employees - Review Type: Online Review - Verified **The Review** — Jan 31, 2023 **Feedback Summary**: Thanks to Mutt Data's efforts, the client iterated and tested the optimizations to various games and audience segments, which increased their revenue by 5%. An accessible and coherent team, they seamlessly communicated and managed issues and processes on Slack, ClickUp, G Suite, and GitLab.  ""I appreciated that the solution was tailor-made to our needs."" **BACKGROUND** Please describe your company and your position there. I'm an AdTech Engineering Manager of an international technology company, which creates leading multi-platform brands that entertain, connect and add business value around the world. Our Gaming division has exceeded 800 million downloads and our Brand Gamification division is a pioneer in the region, offering marketing and advertising solutions in the mobile game universe. The company also applies AI to enhance digital transformation. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? As one of the largest trivia game publishers in the world, etermax has a significant mobile ad inventory to monetize. One of the ways in which etermax's games are monetized is through in-game ads that are sold to several 3rd party Ad Networks through the available mechanisms: Mediation and Real Time Bidding. Mutt Data was hired to help us design and implement optimization mechanisms around our Mediation Platform. **SOLUTION** How did you select this vendor and what were the deciding factors? They were recommended to us by a trusted 3rd party. Their ideas were innovative and they were able to effectively communicate their expertise in the subject. Their track record working on similar companies was also a deciding factor for us. Describe the project in detail and walk through the stages of the project. The project was separated into a series of phases each one with its purpose, milestones and results. We first started by a research phase which allowed the vendor to get an understanding of the problem that we were trying to solve and then designed, together with our team, a first solution to start implementing. The final solution consisted of a Machine Learning based strategy which allowed us to tailor, in real time, an Ad Waterfall for each user in order to maximize revenue. As a complement of the solution, the team also created an MLOps platform setup to enable rapid iteration, tracking, deployment and testing of Machine Leraning model variants. How many resources from the vendor's team worked with you, and what were their positions? We worked directly with 4 members of Mutt’s team, most of which were Machine Learning Engineers. One of the company's founders also participated in overall design and overview of the project. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? While the optimizations are still being iterated and tested in different games and audience segments, in some cases it has increased revenue by approximately 5% over already manually optimized waterfall configurations. How effective was the workflow between your team and theirs? The teams were able to work together and communicate without any issues. Communication channels and workflow processes were clear from day one. Some of the tools used include: Slack, ClickUp, GSuite, Gitlab, among others. What did you find most impressive or unique about this company? The team is always available and they take the time to think solutions out taking specific client constraints and goals into account. I appreciated that the solution was tailor-made to our needs. It didn’t feel like it was just another project or that we were outsourcing some software module but rather that Mutt's team was an extension of our internal team, and worked alongside them in a very fluent and natural way. Are there any areas for improvement or something they could have done differently? Nothing particular comes to mind. --- #### Machine-Learning Dev for Delivery Logistics Software Co **The Project** - Services: Custom Software Development, Other IT Consulting and SI - Project size: $200,000 to $999,999 - Project length: Mar. 2019 - Mar. 2020 **Project Summary**: Mutt Data built a machine-learning model to predict restaurant demand for a delivery logistics software company. They helped conduct exploratory research and built the model using Airflow and MLflow. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** CTO, First Delivery - Industry: Other industries - Client size: 11-50 Employees - Review Type: Phone Interview - Verified **The Review** — Jan 18, 2023 **Feedback Summary**: Mutt Data’s model reduced the client’s weekly operational costs by 25%–35%. They created lasting solutions and the client would recommend them. They were helpful, responsive, and timely. They tracked billable hours in Excel and communicated via Slack and weekly status update phone calls. "“Mutt Data understood the problem we were trying to solve from a data science perspective and delivered on promises.”" **BACKGROUND** Introduce your business and what you do there. I’m the CTO of First Delivery, a delivery logistics software company for third-party ordering services. I manage our technical team and day-to-day software operations. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Mutt Data? We needed help forecasting demand for restaurants in several cities around the country. **SOLUTION** What was the scope of their involvement? Mutt Data built a machine-learning model that helped predict demand for restaurant delivery orders. The model also predicted the necessary staffing capacity so we’d know how many drivers we’d need to onboard.  During the discovery phase, we provided the project scope and shared our data structure and business problems for Mutt Data’s understanding. We did some exploratory research together and they uncovered insights we hadn’t been previously aware of. In the next phase, we onboarded them onto our technology stack and set them up to have their software interact with our stack. They used a set of open-source machine-learning and data engineering resources, including Airflow and MLflow. We also provided them with some Amazon resources. We hosted the model but they helped maintain it by upgrading it and fixing bugs.  What is the team composition? I started off the project with Juan Mateo (Co-Founder & CRO) and also worked with Alejandro (Knowledge Lead), Gian Franco (Data Developer), and another teammate. How did you come to work with Mutt Data? I initially found them through a search engine run by a business friend of mine, who recommended them when I asked about them.  We selected Mutt Data because they had the capacity to start the project within a reasonable amount of time and their pricing was competitive. They had worked on similar projects and it seemed like a good match. I also got along well with Juan Mateo.  How much have you invested with them? We spent approximately $200,000 in total over the course of the relationship. The initial project cost was $40,000–$50,000 but we continued to work with them. What is the status of this engagement? The project lasted from March 2019–March 2020. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?  We reduced our weekly operations spending by 25%–35%.  How did Mutt Data perform from a project management standpoint? Everything was delivered on time, and they made sure to communicate everything clearly. They tracked daily billable hours in Excel. They were really helpful and quick to respond when small issues arose that we couldn’t fix; they were always online to solve those on short notice. The majority of the communication was in a shared Slack channel, which we actually still have to this day. Weekly status updates were communicated over the phone.  What did you find most impressive about them? Mutt Data understood the problem we were trying to solve from a data science perspective and delivered on promises. They addressed a high-level business problem and implemented software solutions that are still delivering to this day. I’d recommend them to anyone with data science needs. Are there any areas they could improve? No, they were awesome. Do you have any advice for potential customers? Make sure that whoever’s working closest with Mutt Data has a solid understanding of the business domain. When they start to build the project out, that point of contact should be able to manage the project scope and communicate what is and isn’t needed. --- #### Shopping & Audience Management Software for E-Commerce Firm **The Project** - Services: Custom Software Development - Project size: $1,000,000 to $9,999,999 - Project length: Dec. 2021 - Ongoing **Project Summary**: Mutt Data has worked on two software development projects for an e-commerce company. They’ve developed an automated shopping platform with ML capabilities and built an audience management system.  **Review Rating**: 4.0 - Quality: 4.0 - Schedule: 3.0 - Cost: 2.0 - Willing to Refer: 4.0 **The Reviewer** Senior Manager, E-Commerce Company - Industry: Retail - Client size: 10,001+ Employees - Review Type: Phone Interview - Verified **The Review** — Jan 9, 2023 **Feedback Summary**: The company is pleased with Mutt Data’s contribution to the projects. The team has helped them significantly in terms of generating ideas for the product’s development. Their knowledge of advertising has also been a unique highlight of the engagement, resulting in a successful collaboration so far. "“Mutt Data has helped us a lot in terms of generating ideas — they have great knowledge.”" **BACKGROUND** Introduce your business and what you do there. I’m a senior manager at an e-commerce company.  **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with Mutt Data? We built a programmed shopping platform and needed Mutt Data to support the process of building it. Apart from that, they collaborated with us on developing an audience management system.  **SOLUTION** What was the scope of their involvement? We’ve done two software development projects with Mutt Data. Our teams have created documentation together, and they’ve been involved in the project since its initial stages. The shopping platform has an automated system that handles large volumes of data. There’s machine learning (ML) technology embedded in it, so it’s a complex system. The main coding language we’ve used is Python.  What is the team composition? We’ve worked with 10–15 people, and the team composition has changed throughout the year. Their members include developers, backend experts, project leaders, ML engineers, and more.  How did you come to work with Mutt Data? Mutt Data was already hired by our company when I joined it. However, I knew the team from the past; I worked with them at another company, so I considered them to be a great choice of vendor.  How much have you invested with them? We’ve spent around $1 million.  What is the status of this engagement? The project started in December 2021, and it’s ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?  Our most important success metric is that we can go into production within our expected timeline. We’ll be able to assess the performance metrics once the products are launched. Nonetheless, this has been a long process, and Mutt Data has helped us a lot in terms of generating ideas — they have great knowledge.  How did Mutt Data perform from a project management standpoint? The management of the project mainly comes from our side, but Mutt Data has been in charge of project execution. We use Jira for project management and Slack, Google Meet, and Zoom for communication.  What did you find most impressive about them? Their greatest strength for this project is their knowledge of advertising. Not many development companies have such good insight into that area, making them stand out from their competitors.  Are there any areas they could improve? There’s a lot of room for improvement in terms of the project’s execution.  Do you have any advice for potential customers? If you’re using the same scheme as we do, try to integrate Mutt Data with your team as soon as possible. Make that integration as smooth as possible.  --- #### Data Platform Implementation for IT Solutions Consultancy **The Project** - Services: BI & Big Data Consulting & SI - Project size: $50,000 to $199,999 - Project length: Jan. - May 2022 **Project Summary**: Mutt Data was hired to streamline an IT solutions consultancy's data processes, implementing new tools and processes to improve efficiencies in storage, transformation, and scalability. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO & Founder, CONEXA - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Dec 22, 2022 **Feedback Summary**: Mutt Data's efforts resulted in a 35% reduction in data delivery times and increased bandwidth for internal operations. The team was an easy-to-work-with throughout the collaboration. They genuinely seemed to enjoy the challenge and were also very agile. ""They are very up to date with the latest practices and tools, and expertly trained."" **BACKGROUND** Please describe your company and your position there. I’m the Founder of a Latam based, Information Technology Solutions Consultancy company that combines innovation, agile design methods, and technological development to deliver high-quality and tailor-made digital products & integrations. We specialise in front-end, back-end, ecommerce platforms, integration services and devops and databases. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? We needed to streamline our data processes, updating our data platform and components to improve efficiencies in storage, transformation and scalability. This required implementing new tools, processes, workflows and paying off technical debt. **SOLUTION** How did you select this vendor and what were the deciding factors? We selected the vendor based on trusted reviews from industry colleagues who highlighted their expertise in Machine Learning and Big Data. We knew one of the company’s founders well, and got in touch to brainstorm ideas for our challenges. We were convinced by their suggestions and knowledge on the matter. The selected vendor had a great track record, had worked on many projects and was in-line with our expectations in terms of quality and budget. Describe the project in detail and walk through the stages of the project. The project had predetermined stages and they were all complete in time and form. There were six main stages. Each had its clear set of goals, milestones and review dates. The whole process was very organised and clear. How many resources from the vendor's team worked with you, and what were their positions? We worked with a team of three resources full time. One of them was the lead and our main point of contact. One of the company’s founders was also involved in project reviews and status. The team was qualified, efficient, communicative and easy to work with. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? We saw a 35% reduction in data delivery times inside our organisation. The implemented system reduced data processing and delivery times drastically. The freed up time can now be allocated to current and potential client projects which generate value for our company. How effective was the workflow between your team and theirs? Easy to work with. Good Workflow. We were also aligned on the tools and framework used to structure the project’s process: agile, scrum, asana, notion, slack, etc. We got along very well with the vendor team, they were easy to communicate and work with. We had no issues working with the vendors team. They are experts in this field, and looked to tailor their recommendation based on strategic advice and, later, with effective implementation What did you find most impressive or unique about this company? We were positively impacted by their team's startup working culture. They genuinely seemed to enjoy the challenge. They were also very agile. A lot of companies mention AI, ML, and Big Data as part of their services but the vendor truly showcased unique expertise in these fields. They are very up to date with the latest practices and tools, and expertly trained. Are there any areas for improvement or something they could have done differently? Satisfied with the project. No comments. --- #### Machine Learning Dev for Telecommunications Firm **The Project** - Services: BI & Big Data Consulting & SI, IT Strategy Consulting - Project size: $50,000 to $199,999 - Project length: Jan. 2021 - Ongoing **Project Summary**: Mutt Data provides ML development services for a telecommunication firm. They've developed several solutions for the client, including an ML system to estimate churn rate and a KPI monitoring platform. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 4.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** IT Manager, Telecommunications Firm - Industry: Telecommunications - Client size: 5,001-10,000 Employees - Review Type: Online Review **The Review** — May 22, 2023 **Feedback Summary**: Mutt Data has successfully delivered and implemented all the solutions that the client requested. The team institutes a smooth workflow through clear and consistent communication. Moreover, they leverage their knowledge and technical expertise to produce highly robust solutions. ""Their expertise in data and team members were quite impressive."" **BACKGROUND** Please describe your company and position.I am the IT Manager of Telecommunications CompanyDescribe what your company does in a single sentence.Leading telecommunications company in Latin America, currently operating in 18 different countries with a suite of offerings in connectivity, communication, and Information Technology solutions **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire Mutt Data to accomplish?Identify fraudulent sales of prepaid lines as well as fraudulent transactions using a wallet product in order to reduce costs and comply with financial regulations.Predict the credit risk of different clients in order to segment the company´s user base as well as other solutions such as anomaly direction and site maintenance support **SOLUTION** How did you find Mutt Data?ReferralWhy did you select Mutt Data over others?Pricing fit our budgetGreat culture fitGood value for costHow many teammates from Mutt Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The vendor successfully implemented the following solutions: Machine learning system to estimate churn and upselling probabilities Re-Implementation of Data Pipelines Real-time KPI Monitoring platform with anomaly detection capabilities Machine Learning credit scoring system for postpaid customers **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Machine learning system to estimate churn and upselling probabilitiesRe-Implementation of Data PipelinesReal-time KPI Monitoring platform with anomaly detection capabilitiesMachine Learning credit scoring system for postpaid customersDescribe their project management. Did they deliver items on time? How did they respond to your needs?We worked directly with 5 dedicated resources, one of which was a techlead specifically assigned to the project. There was a combination of data scientists and engineers. A clear work process was set in motion from day one. We started with a discovery phase where the vendor got familiar with our challenges, tools and goals. We moved on to tool setup and then development and implementation. The whole process was very communicativeWhat was your primary form of communication with Mutt Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Their expertise in data and team members were quite impressive. We ended up opening various other tracks and projects. It was clear a lot of thought had gone into all proposed solutions. There were no quick fixes instead thought-out robust solutions.Are there any areas for improvement or something Mutt Data could have done differently?No comments. --- #### Modern Data Platform Dev for Consumer EdTech Company **The Project** - Services: Cloud Consulting & SI - Project size: $200,000 to $999,999 - Project length: Mar. 2021 - Dec. 2022 **Project Summary**: Mutt Data developed a self-service dataOps platform for an education technology company. They modernized the data platform, addressing ETL issues, duplicated extraction processes, and more. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** CTO, ClassDojo - Industry: Education - Client size: 51-200 Employees - Review Type: Online Review - Verified **The Review** — Jan 12, 2023 **Feedback Summary**: Thanks to Mutt Data's work, the platform can handle all data processing, transformation, lineage, governance, self-serving workflows, and AI-enabled alerting and monitoring. There was an increase in data processing and asset deliveries. The team was very dedicated to every aspect of the project. ""They had a lot of ideas that were sparked by different projects and industries they had worked in."" **BACKGROUND** Please describe your company and your position there. I’m the Chief Technology Officer (CTO) for an consumer education technology company. We operate globally in more than 180 countries with a community of more than 50 million teachers and families who come together to share kids’ most important learning moments in school and at home– through photos, videos, messages & more. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? We needed a Self-serve DataOps Platform that would empower engineers and analysts to make data processing, storage, transformation and availability, scalable and efficient. We needed to modernize our data platform, addressing ETL issues, duplicated extraction processes, low-confidence in the data, troubled data ingestion from multiple sources and a improve testability and monitoring of input and output tables. **SOLUTION** How did you select this vendor and what were the deciding factors? Internal referral made in Y-combinator's internal forum, from startups founders that had previously worked with them. Describe the project in detail and walk through the stages of the project. The project began with a discovery phase where the vendor took the time to understand our company, status, data, infrastructure and business goals. This was all summarized into a visual plan with proposed solutions and a clear milestone-based roadmap.   After that, the project was organized into the following phases: Kickoff (tools, system access and project organization/communication setup), Development, Implementation, Deployment and Hardening and finally Knowledge Transfer (making sure our team could use and own the new platform). How many resources from the vendor's team worked with you, and what were their positions? Their CRO was our main pain of contact, but we worked together with a multidisciplinary team of 3 experts. The team had a dedicated Tech Lead and team specifically assigned to our project. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? By the end of the project there was a 10x increase in data pipeline processing and data asset deliveries. The end result was a data platform that can handle all data processing, transformation, lineage, governance, self-serving workflows, and AI enabled alerting and monitoring for our company’s terabytes of data. How effective was the workflow between your team and theirs? Communication was fluid and frequent, we mostly communicated over video chat but also made heavy use of selected tools such as: Asana, Slack, Google Workspace, and Github. The team was open to questions, and quick to answer. Milestones and timeframes were accomplished. What did you find most impressive or unique about this company? - Agility to find new ways to solve problems as they developed. - Their experience is noticeable. They had a lot of ideas that were sparked by different projects and industries they had worked in. - I appreciated that it didn’t feel like this was just another project, the team was truly involved in every single aspect of the project. A very dedicated team. Are there any areas for improvement or something they could have done differently? They could have been more proactive in promoting adoption of the new tools they were building across the organization. It took some effort to get that new knowledge out to the rest of the teams. We also got to the end of the initial roadmap, but didn't have a plan for a phase 2 ready. --- #### Fraud Detection System for Startup **The Project** - Services: Other IT Consulting and SI - Project size: $50,000 to $199,999 - Project length: Apr. - Sep. 2021 **Project Summary**: Mutt Data developed a fraud detection solution for a startup. The goal is to create a financial audit automation solution to reduce false positive fraud and reduce fraud generally. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Hullop - Industry: Financial services - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — Jan 10, 2023 **Feedback Summary**: Mutt Data was responsive, proactive, and easy to work with. They had a clear set of stages and milestones and a visible review calendar to keep the project running smoothly. Overall, the solution reduced false positive fraud cases by more than 10%, and fraud, in general, is down by 5%. ""All in all we were very satisfied with the solution, its implementation and the team."" **BACKGROUND** Please describe your company and your position there. I’m the CEO for a startup dedicated to software development with a focus on financial audit automation. Currently, our company offers services in business intelligence, data administration, machine learning and process automation for financial departments. We have a strong presence in the banking industry. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? We were looking to implement a complete fraud detection solution for our bank auditing efforts. This included setting a system in place to identify anomalies in regards to loss control, internal scams, false positive fraud cases, and investment fund allocation control. The goal was for the system to reduce false positive fraud and reduce fraud generally speaking in our biggest clients. **SOLUTION** How did you select this vendor and what were the deciding factors? We heard about the vendor on social media, local media outlets and from trusted colleagues who recommended the company to us. The recommendations were a deciding factor. The vendor was in our short list, the deciding factor was the showcased expertise in the discovery meetings. The vendor ticked all of our boxes, they came recommended, they had the necessary team and ml knowhow and they were within our estimated budget. Describe the project in detail and walk through the stages of the project. The project was organized into different stages. At first we had a series of review meetings where we analyzed our painpoints and possible solutions to them. Then this was translated into a plan. After that, the vendor set up some channels and tools to start working. The next stages were basically the development of the solution itself, more reviews, improvement stages and final delivery. How many resources from the vendor's team worked with you, and what were their positions? There were 5 resources from the vendor’s team. There was a senior data engineer in charge of the team, another senior data engineer, 2 Semi Senior data scientists and one founder who participated as well. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? The implemented system allowed us to reduce false positive fraud cases by more than 10%. Fraud in general was lowered by around 5% in our biggest client segment. We also saw improvements in efficiency of processes. How effective was the workflow between your team and theirs? They’re easy to work with, responsive and proactive. They always had useful feedback and were very communicative. Our collaboration was without hiccups. There was always a clear set of stages and milestones, and a visible review calendar to keep work running smoothly. Clear work processes. Good communication and use of tools such as G Suite, Slack, ClickUp, Github, etc. *What did you find most impressive or unique about this company? They took the time to understand what we needed so they could give us the best suggestions before we decided on a proposed solution. Working with them was very easy, they felt like a part of our team. What did you find most impressive or unique about this company? We were very content with the quality of Mutt Data’s work. We’ve been using the implemented system for an extended period of time now and were even able to scale it. We noticed immediate improvement in key metrics when implemented. When the project finished, they offered suggestions on how to continue improving the system and how else we could use machine learning in the future. All in all we were very satisfied with the solution, its implementation and the team. Are there any areas for improvement or something they could have done differently? I was pleasantly surprised in this regard. Mutt Data made sure we were always in the loop and scheduled different control instances so we could review progress, changes and goals as the project advanced --- #### Data Warehouse Development & Implementation **The Project** - Services: BI & Big Data Consulting & SI - Project size: $50,000 to $199,999 - Project length: July 2020 - Ongoing **Project Summary**: A surplus medicine company partnered with Mutt Data to help create its data warehouse. The goal is to help the client maximize and consolidate all of their data in a single place. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Co-Founder, SIRUM - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review **The Review** — Dec 8, 2022 **Feedback Summary**: The Mutt Data team’s robust expertise and enthusiasm for the project made them valuable partners. They were communicative, organized, and proactive throughout the engagement. Both managed to keep all the key members in the loop. ""Not only did this allow for a robust tailored solution but also for a cost-effective one."" **BACKGROUND** Please describe your company and your position there. I’m the Co-Founder and CTO of the largest redistributor of surplus medicine in the USA. Powered by technology, our company helps organisations like nursing homes, pharmacies and manufacturers to donate their unused medicine and get it to where it’s needed most. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire Mutt Data? In order to truly leverage our data for decision making we needed to develop our first Data Warehouse where we could consolidate data from all our sources in one place. This was a necessary step in order to become a data-driven company. We needed an experienced vendor to advise us on the best possible solution considering all tradeoffs. **SOLUTION** How did you select this vendor and what were the deciding factors? Their team came highly recommended. We felt comfortable working with a company with their positive track record. Describe the project in detail and walk through the stages of the project. The vendor began by taking the time to understand our current context, this included talking about our infrastructures, current pain points, needs, and data sources, teams, and processes. This was all part of what they called the Discovery Phase. After that, we moved on to the setup of different technical and communication tools. Finally development itself began, followed by the implementation and deployment of the solution. In regards to the solution itself: the implementation consisted of implementing Airbyte to consume data from MySQL, Quickbook, and other sources. DBT for transformations, Airflow for orchestration and Quicksight for dashboard capabilities. How many resources from the vendor's team worked with you, and what were their positions? We generally worked together with a team of six experts who were specifically assigned to our project. Our main contacts were the team's dedicated tech lead and one of the vendor's co-founders. **RESULTS & FEEDBACK** Can you share any outcomes from the project that demonstrate progress or success? Integrated dashboards How effective was the workflow between your team and theirs? From day one, working with the vendor was easy going. They made a visible effort to keep in sync and all relevant people were always in the loop. The use of weekly meetings, task tracking systems and a clear roadmap made the workflow run smoothly. Their team was always readily available. What did you find most impressive or unique about this company? I appreciated their extensive experience building cloud and data infrastructures as well as full stack machine learning systems. Not only did this allow for a robust tailored solution but also for a cost-effective one. Are there any areas for improvement or something they could have done differently? We’ve been working together with the Mutt Data team for several years, suggestions are usually applied so there are not really improvements to be made at the moment. --- ## Portfolio & Awards ### MODO: Modern Data Stack for Growing FinTech Expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. A new platform was needed to address limitations such as process tracing constraints, scalability issues with data processing, implementation of new orchestration, monitoring, and reprocessing tools.   Our team of expert, high-performance, #DataNerds designed and implemented a robust, self-hosted, Modern Data Stack that could easily be deployed and was flexible enough to handle present challenges while remaining scalable in the future.    By addressing technical debt and leveraging cutting-edge tools and industry best practices in Data Engineering and DataOps, we achieved significant improvements in various critical areas. Our focus included enhancing Data Orchestration, Visualization, Monitoring, and Data Cataloging components, allowing for streamlined and efficient data operations.   The project had a profound impact by enabling faster go-live features, embedding dashboards for real-time data visualization, and ensuring 100% organization and traceability of process executions. These improvements resulted in increased operational efficiency and a more successful project outcome.   ### ClassDojo: EdTech Modern Data Stack Implementation ClassDojo needed a self-serve Modern Data Platform to address technical debt, ETL issues, duplication of extraction processes, data ingestion, and lack of testability and monitoring. The goal was to empower teams with ownership over their metrics. The implemented project delivered a 30% reduction in data pipeline processing and data delivery times, and a 10x increase in Data Warehouse Efficiency, allowing for more connections, operations, and ways of building data models. The Modern Data Stack handles all data processing transformations, lineage, governance, self-serving workflows, and AI-enabled alerting and monitoring for all of the company's terabytes of data. Every vertically-integrated team has ownership over its metrics, tables, and data.Full Story: https://muttdata.ai/blog/2022/11/18/cdojo-cast-study.htmlFull AWS Story: https://aws.amazon.com/es/partners/success/classdojo-mutt-data/?did=ps_card&trk=ps_cardFull ClassDojo Story: https://engineering.classdojo.com/2022/02/07/dataops-at-classdojo/ ### Etermax: AdTech for Gaming Etermax acquired a DSP to contribute to its direct branding and in-game advertising campaigns for brands within its games and the more than 2200 titles it represents. After testing it, Etermax determined that their DSP needed a performance improvement that could generate orders of magnitude of gains, against the most established mobile demand-side platforms.We developed a new Machine Learning model-based bidding logic for their Demand Side Platform (DSP) with models that more accurately predicted Win Rate, Click-Through Rate, Cost, and Conversion Rate, for each auction. We also developed a new performance-based budget pacing mechanism. The following tools were used for the project: Vowpal Wabbit, Airflow, MLFlow, and Amazon Athena. After just four months of work, with no modifications to the previously used budge, Etermax's system showed a 40% decrease in cost per clicks (CPCs) ### Sirum: Mastering Computer Vision for Healthcare Sirum processes between 2000 and 60.000 donation cards a day, and as operations continue to scale, manual classification became an unsustainable solution. Drug cards need to be classified considering different variables such as type, expiration date, and the number of pills per blister. Sirum needed to improve its operation's efficiencies, switching a manual process with an automated, computer vision-based object recognition solution. A mission-critical Application Programming Interface (API) was implemented to be used by the conveyor belt that processes the medical cards. The API has a deep learning object detection model designed for pill counting which extracts the necessary information from the labels such as preparation date and type of medication. The solution was designed upon a Modern Data Stack which uses Python, Pytorch, and Amazon Web Services (AWS), service tools among others. The project is in the process of increasing processing capabilities 10X times, from 2000 drug cards up to 25000, and reducing processing times to one second per drug card. Read the full case study here: https://muttdata.ai/blog/2022/12/21/case-study-sirum.html   ### X3M Drives Average Revenue Per User With Real-Time About The Company Their primary goal is to establish a publisher-centric approach in an industry predominantly focused on advertisers.  Challenge X3M’s mediator encompasses a key aspect of their services: optimizing waterfalls. This presents a unique challenge as publishers possess less data compared to advertisers and must navigate multiple advertising platforms with varying behaviors, all while contending with the ever-shifting landscape of buying mechanisms. Essentially, it becomes a strategic game where one party aims for higher CPMs while the other strives for impressions at lower CPMs. Consequently, X3M must continuously fine-tune their logic to gain a competitive advantage, considering the intricate understanding of each network’s behavior and developing a scalable solution that accommodates diverse demographics and game scenarios. Solution Development of innovative real-time waterfall optimization algorithm driven by AI. By utilizing predictive models for fill rate and latency, the task force created real-time waterfalls that optimized revenue potential for each advertising opportunity. To validate our logic, an offline system simulator for any waterfall policy was developed. This tool proved instrumental in assessing the impact of upcoming changes and became an integral part of the daily toolkit for data scientists, AI specialists, and machine learning engineers working on waterfalls. Through these simulations, X3M efficiently iterated on new machine learning models, business rules, heuristic adjustments, and other design decisions. We elevated the AB testing process by automating analyses, conducting significance testing, and establishing key performance indicators (KPIs).  Impact 20% increase in CPM 5% increase in ARPDAU  ### Fintech Addi Unlocks Modern Data Stack Challenge Implementing a company-wide data platform that would enable facilitated self-service data access to all necessary teams while removing the data-engineering team as a technical and bureaucratic bottleneck. The end goal was the implementation of a solid Modern Data Stack with flexible, scalable, and reliable tools that would empower data engineers and business teams to support company goals and value generation. Solution Implemented a Modern Data Platform, its tooling, pipelines, components, and integrations that could serve the whole company. The project applied best practices in different components of their data pipelines such as data ingestion, transformation, visualization, governance, observability, and infrastructure as code. The project included: Setting up Databricks as the place to host the company data lake with delta tables to use as a single source of truth. Implementing a modern data lake house architecture with layers to separate different quality and granularities of data. Selecting software engineering best practices to develop data pipelines and implement them with tools that help engineers adapt to them such as DBT for transformations, Airflow for orchestration, and Airbyte for ingestion. (Download our MDS Whitepaper for curated tool recommendations!) Mutt Data also implemented two in-house developed solutions: 1) Archie: a pre-baked modern data stack on Kubernetes solutions with GitOps and infrastructure as code that accelerates time to value. 2) DataOps Lib: A set of tools that create an abstraction layer on top of DBT + Great Expectation + Airflow to create transformation DAGs with data quality from SQL + YAMLs Impact Increased lakehouse coverage and significantly improved both data quality and observability. Hundreds of models migrated to new architecture with an accelerated new model rollout. ### Ank Reduces Manual Reconciliation to Under 3% About Ank is an Argentine fintech that developed a product for money transfers between banks and virtual accounts. It allows you to manage several accounts from different banks from a single app and facilitates quick transfers between them. Challenge Ank’s team needed to fulfill three main objectives within the scope of this project. Create an automated flow of reconciliation transactions to reduce manual work while improving the accuracy and trustworthiness of the process. Second, increase the frequency of the reconciliation process to obtain updated data. Finally, implement a batch data processing architecture based on best practices and technologies that could serve as a model for future pipelines. Together these needs could be solved by the implementation of a Modern Data Stack. Solution Mutt Data developed a system for automatic reconciliation on an hourly, daily, and weekly basis. The system extracts the information from the different sources, centralizes it in a Data Lake in Amazon Web Services, performs the relevant reconciliation checks and, if it detects inconsistencies, corrects them automatically or creates tickets for cases that require manual attention. We’re AWS Advanced Partners, and this project utilized AWS tools and technology. For more information on the implemented solution, check out Ank’s and Mutt’s case study featured on Amazon Web Services. The system is developed on an Airflow 2.0 installation on Amazon EKS and uses Amazon Athena, DBT, Great Expectations and PostgreSQL. Other tools include Kubernetes, K33, Google Auth for Airflow Login, and Alembic. Impact The client saw manual conciliation processes reduced to under 3% of their total monetary transactions. ### Success With ML Demand Forecasting in Logistics Challenge Habitat was using a set of complex business rules to manually estimate the demand forecast by hour and assign the proper amount of delivery persons. They had hired an external Data Science consultant who applied Machine Learning to computing the forecast and showed improved results but had no expertise with turning that into an actual system on the AWS Cloud that would automatically run in an hourly manner. Solution We deployed a team of 5 High-Performance In-House Data Experts to plan, organize, and develop all the necessary AI and data capabilities Habitat needed to solve their challenge effectively and in record time. The goal? Robust systems and capabilities, built to last and scale with Habitat’s business. We implemented a system that applied demand prediction algorithms to calculate hourly demand forecasts for each delivery area in each city. This system runs continually every hour and adjusted predictions accordingly for the next 7 days. To accurately calculate this demand, data is pulled, integrated and validated from several external data sources such as weather forecasts, special events, etc. Using these hourly demand forecasts and input, we built an optimization system to adjust delivery person’s shift allocation to minimize costs while maintaining SLA’s. Finally, we implemented a real-time prediction system to estimate the time it would take to prepare a particular order. This allowed the dispatch system to minimize waiting times in the restaurant for the order to be ready. Data and ML pipelines and models were implemented combining the use of Apache Airflow for process development, Python for application development and ML Flow for metric and model tracking.  Impact 40% cost reduction in their deliveries.  ### Mercado Libre: AdTech Success Story AdTech project focused on optimizing audience segmentation to enable hyper-targeted ads and increase their likelihood of conversion, and optimizing the process of selling advertising placements so that the price is automatically defined based on conversion metrics (CPM, CPCs, CPA, etc.). ## Packages ## Locations (2) ### Montevideo, Uruguay (Headquarters) - 2332 Avenida Sarmiento - Montevideo 11300 - Uruguay - 41 - 49 employees - Phone: +54 9 11 5117-5439 ### Buenos Aires, Argentina - Avenida Santa Fe 1752 - Buenos Aires C1060 - Argentina - 41 - 49 employees - Phone: +54 9 11 5117-5439 ## Connections - Maximiliano Camporino (RapidSOS) ## Contact Muttdata [Send a message](https://clutch.co/profile/muttdata)