ThirdEye Data Transforms Enterprises with Data & AI Solutions & Services.
ThirdEye Data leverages Artificial Intelligence & Data technologies to build AI applications for enterprises worldwide.
ThirdEye is a Silicon Valley based one-stop-shop for Data Sciences, Analytics & Engineering services & products.
ThirdEye has a decade of experience in building end-to-end technical solutions for Fortune 500 companies and start-ups worldwide.
ThirdEye's services help organizations transform knowledge into strategic & tactical insights for informed & timely business decisions.
Data Sciences (AI, ML, DL, NLP)
ThirdEye implements end-to-end Big Data solutions with Data Sciences technologies like Artificial Intelligence, Machine Learning, and Deep Learning seamlessly baked into it.
Data Engineering
ThirdEye’s Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.
Data Analytics
ThirdEye’s Data Analytics services help businesses increase revenues, improve operational efficiencies, respond quickly to emerging market trends and gain a competitive edge.
Industries Served
Marquee Worlwide Customers
Walmart, Microsoft. Xperi, Southern California Edison, British Petroleum, GlasTrosch among a host of customers from Fortune 100 companies to US startups.
## Company Information - Minimum project size: $10,000+ - Hourly rate: $25 - $49 - Number of employees: 50 - 249 - 4 Locations: - San Jose, CA (Headquarters) - Kolkata, India - Montréal, Canada - Hubballi, India - Founded in 2010 - 3 languages: English, Bengali, Hindi - 6 timezones: India Standard Time (IST), Pacific Standard Time (PST), Phoenix Standard Time (PNT), Mountain Standard Time (MST), Central Standard Time (CST), Eastern Standard Time (EST) ## Services, Focus Areas, Industries, and Clients ### Service Lines - 50% AI Development - 15% BI & Big Data Consulting & SI - 15% Cloud Consulting & SI - 10% Generative AI - 10% IT Staff Augmentation ### Focus Areas - Azure Consulting Services: - 50% Azure AI & Machine Learning - 20% Azure Migrations - 10% Azure Analytics - 10% Azure DevOps - 10% Azure Security - Cloud Computing Focus: - 50% Azure Cloud Consulting & Implementation - 30% Google Cloud - 20% AWS Cloud Consulting & Implementation - AI Expertise: - 50% Machine Learning - 20% Natural Language Processing - 10% Chatbots & Conversational AI - 10% Cognitive Computing - 10% Robotics - BI & Big Data Focus: - 50% Other BI & analytics - 30% Operations & process improvement - 10% IT security & crime prevention - 10% Marketing analytics - AWS Consulting Services: - 40% AWS Machine Learning - 20% AWS Migrations - 10% AWS Analytics - 10% AWS DevOps - 10% AWS Managed Cloud - 10% AWS Security - BI & Big Data Solutions: - 30% Microsoft BI & data solutions - 20% Other BI & data solutions - 10% Hadoop - 10% Microstrategy BI & data solutions - 10% MongoDB - 10% Oracle BI & data solutions - 10% Tableau ### Industries - 10% Utilities - 10% eCommerce - 10% Government - 10% Manufacturing - 10% Advertising & marketing - 10% Non-profit - 10% Medical - 10% Information technology - 10% Energy & natural resources - 10% Retail ### Clients - 20% Small Business (<$10M) - 30% Midmarket ($10M - $1B) - 50% Enterprise (>$1B) ## Pricing Snapshot Average rating for cost based on this provider's reviews: 4.3 out of 5 **What Clients Have Said** *(This summary is based on verified Clutch reviews.)*: ThirdEye Data's pricing ranges from $24,000 to over $1 million, with clients noting good value for cost. Many reviews highlight effective project management and timely delivery, though experiences vary, with some indicating challenges in meeting expectations. **Most Common Project Size**: $10,000 to $49,000 based on 18 reviews *(Pricing information for this provider is based on reviews where the project size was available.)* ### Pricing by Service - BI & Big Data Consulting & SI: $200,000 to $999,999 based on 10 reviews - Custom Software Development: $50,000 to $199,999 based on 5 reviews - AI Development: $50,000 to $199,999 based on 4 reviews - Cloud Consulting & SI: $200,000 to $999,999 based on 1 review - ERP Consulting and SI: $50,000 to $199,999 based on 1 review - Other IT Consulting and SI: $50,000 to $199,999 based on 1 review - Other Application Development: $50,000 to $199,999 based on 1 review - API Development: Confidential based on 1 review - IT Staff Augmentation: 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) ### ThirdEye Data Review Insights Overall Review Rating: 4.6 - Quality: 4.6 - Schedule: 4.5 - Cost: 4.3 - Willing to Refer: 4.7 ### Top Mentions - Communicative (6 mentions) - Timely (5 mentions) - Accommodating (4 mentions) - Unique expertise (4 mentions) - Accessible (3 mentions) - Adaptable (3 mentions) - Flexible (3 mentions) - Great project management (3 mentions) - High-quality work (3 mentions) - Easy to work with (2 mentions) - Great team (2 mentions) - Professional (2 mentions) - Results-oriented (2 mentions) - Team players (2 mentions) - Attentive (1 mentions) - Exceeds expectations (1 mentions) - Experienced (1 mentions) - Hard working (1 mentions) - Honest (1 mentions) - Reasonable pricing (1 mentions) ### Review Highlights **Room for Improvement in Communication** While communication is often strong, some clients experienced challenges with clarity and consistency. Ensuring all team members consistently understand project goals could enhance project outcomes. **High Client Satisfaction** Overall, client feedback indicates high satisfaction with ThirdEye Data's services. Their commitment to delivering quality work and achieving client goals is frequently highlighted. **Professionalism and Collaboration** Clients appreciated ThirdEye Data's professionalism and collaboration. They are noted for their ability to work closely with clients, ensuring goals are met effectively. Their team is described as thorough, attentive, and flexible, contributing to successful project outcomes. **Effective Project Management** Their project management skills are generally viewed positively, with teams effectively managing deadlines and scope. However, some clients noted areas for improvement in product management and project direction clarity. **Strong Technical Expertise** ThirdEye Data is recognized for their technical expertise across a range of technologies including AI, machine learning, and cloud platforms. Clients value their ability to handle complex technical challenges and deliver cutting-edge solutions. **Positive Impact on Business Processes** Many clients reported significant improvements in business processes and outcomes due to ThirdEye Data's work. Their solutions often lead to increased efficiency and effectiveness in client operations. **Cost-Effective Solutions** Clients appreciate the value for money provided by ThirdEye Data. They offer competitive pricing while delivering high-quality technical solutions, making them a cost-effective choice for many businesses. **Adaptability to Client Needs** ThirdEye Data is praised for their adaptability, adjusting to changes in client requirements and providing flexible solutions. This adaptability is highlighted as a key strength in their client engagements. ### ThirdEye Data Reviews #### Machine Learning Dev & Consulting for Electric Utility Co (Featured Review) **The Project** - Services: AI Development, Cloud Consulting & SI - Project size: $200,000 to $999,999 - Project length: June 2020 - June 2021 **Project Summary**: ThirdEye Data developed machine learning models for an electric utility company to automate QA. They also offered MLOps architecture consulting and used MS Azure to send the ML models into production. **Review Rating**: 5.0 - Quality: 4.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Former Advisor of AI/ML Program & Products, SCE - Industry: Utilities - Client size: 10,001+ Employees - Review Type: Online Review - Verified **The Review** — Jun 7, 2023 **Feedback Summary**: ThirdEye Data was adaptive to the client's changing requirements and successfully met model performance metric targets. The team delivered most of the ML models on time, and they were very collaborative and supportive throughout the engagement. Moreover, they were committed, honest, and open-minded. ""They brought in their best to support us."" **BACKGROUND** Please describe your company and position.I am the Advisor, AI/ML Program and Products of Southern California EdisonDescribe what your company does in a single sentence.SCE is a major Electric Utility company in Southern California **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?Develop Machine Learning ModelsConsult on Architecture MLOPSDevelop Roadmap and on Continuous Improvement **SOLUTION** How did you find ThirdEye Data?ReferralWhy did you select ThirdEye Data over others?Great culture fitGood value for costReferred to meCompany values alignedHow many teammates from ThirdEye Data were assigned to this project?6-10 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Develop CV ML models to automate image quality assessment for Field Asset Inspection (part of Wildfire Mitigation Program).Key deliverables:Models to Identify the asset, detect components of asset, assess the angles and coverage, occlusion and blur detectionProductionize the models into an ML pipeline on Azure **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?The team delivered the models in time, was able to adapt to changing requirements (e.g., changes in pole tag formats), and also met model performance metric targetsDescribe their project management. Did they deliver items on time? How did they respond to your needs?Yes, they delivered 4/6 models in time, scope and quality. 2/6 were below the expected performance due to technical complexity and their novelty; so we didn't deploy them They were very cooperative and collaborative to meet our needs. They brought in their best to support us.What was your primary form of communication with ThirdEye Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Commitment and an open mind to learn Also, honesty, if they didn't know they accepted itAre there any areas for improvement or something ThirdEye Data could have done differently?Testing End to end Architecture/Performance early on (cloud and on-prem integration) and an Onsite presence (has cost implication here so can understand). --- #### File Ingestion Tool for IT Services Company **The Project** - Services: AI Development - Project size: $50,000 to $199,999 - Project length: Sep. - Dec. 2022 **Project Summary**: An IT services firm hired ThirdEye Data to build a file ingestion tool. The tool utilized logic, text recognition, and field recognition algorithms to identify the information contained in specific fields. **Review Rating**: 4.0 - Quality: 4.5 - Schedule: 3.5 - Cost: 5.0 - Willing to Refer: 4.0 **The Reviewer** Principal Product Manager, IT Services Company - Industry: Other industries - Client size: 201-500 Employees - Review Type: Phone Interview - Verified **The Review** — Jun 26, 2023 **Feedback Summary**: ThirdEye Data successfully provided a proof of concept that met the client's expectations. The tool successfully processed nearly 80% of the expected files. Although the client made some modifications and was unable to perform the implementation, the project was still completed to satisfaction. ""The team demonstrated a great willingness to assist with problem-solving throughout the project."" **BACKGROUND** Introduce your business and what you do there.I'm the principal product manager for an IT Services and Consulting Company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data?ThirdEye Data helped us build a file ingestion tool that standardized incoming formats into a consistent format, leveraging machine learning. **SOLUTION** What was the scope of their involvement? Our company's requirements underwent certain modifications, and although we couldn't implement them, ThirdEye Data successfully delivered the proof of concept that met our expectations. The first thing the system did was take in an Excel CSV or text file. Then the file was formatted to make it machine-readable. This required identifying the location of the main column headers and recognizing when specific files were transposed, with rows becoming columns and vice versa. The data was then reversed to conform to our standard format.It used a combination of logic, text recognition, and field recognition algorithms to determine what information was in certain fields so it could map that to our data model. It then performed certain quality checks on the data to decide whether we would ingest it.We mainly operate in Azure environments. There was an understanding of Azure Cloud and associated technologies. For the machine learning part, it was done primarily on Databricks.They told us they could do some more implementation work, but again, we didn't end up continuing the project and didn't leverage them for those services. What is the team composition?I collaborated with DJ (Founder & CEO) and other team members. DJ served as our primary point of contact throughout the project. How did you come to work with ThirdEye Data?I believe it was through a referral. I wasn't involved in creating the original list of vendors we evaluated, but I was involved in the evaluation. During the stage I was involved in, our team evaluated three or four different vendors. When choosing our contractor, we considered several important factors, such as their experience on similar projects, pricing, and ability to meet our high-security requirements due to our status as a healthcare company.ThirdEye Data was chosen for the project mainly because they could give us more resources at a reduced price point from some of the other competitors. How much have you invested in them?We spent $50,000–$100,000.What is the status of this engagement?We worked with ThirdEye Data from September 2022–December 2022. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement?The tool managed to process almost 80% of the files we expected. Although we aimed for a 90% success rate, the outcome was still satisfactory. We didn't experience any bugs or crashes.How did ThirdEye Data perform from a project management standpoint?In terms of project management, I rate them a B. It took a few cycles to get it right, but they were strong technically. Our primary modes of communication were Zoom and email, while our team utilized Azure DevOps for project management. What did you find most impressive about them?The team demonstrated a great willingness to assist with problem-solving throughout the project. ThirdEye Data was adaptable to addressing new challenges as they arose and allocated resources efficiently within our budget. Their support was invaluable. Are there any areas they could improve?In terms of product management, there is room for improvement. Having a senior project manager who is fully dedicated to the project would have been beneficial.Do you have any advice for potential customers?It's essential to clearly understand your project goals and what success looks like to achieve them effectively. --- #### Machine Learning Dev & Consulting for Electric Utility Co **The Project** - Services: AI Development, Cloud Consulting & SI - Project size: $200,000 to $999,999 - Project length: June 2020 - June 2021 **Project Summary**: ThirdEye Data developed machine learning models for an electric utility company to automate QA. They also offered MLOps architecture consulting and used MS Azure to send the ML models into production. **Review Rating**: 5.0 - Quality: 4.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Former Advisor of AI/ML Program & Products, SCE - Industry: Utilities - Client size: 10,001+ Employees - Review Type: Online Review - Verified **The Review** — Jun 7, 2023 **Feedback Summary**: ThirdEye Data was adaptive to the client's changing requirements and successfully met model performance metric targets. The team delivered most of the ML models on time, and they were very collaborative and supportive throughout the engagement. Moreover, they were committed, honest, and open-minded. ""They brought in their best to support us."" **BACKGROUND** Please describe your company and position.I am the Advisor, AI/ML Program and Products of Southern California EdisonDescribe what your company does in a single sentence.SCE is a major Electric Utility company in Southern California **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?Develop Machine Learning ModelsConsult on Architecture MLOPSDevelop Roadmap and on Continuous Improvement **SOLUTION** How did you find ThirdEye Data?ReferralWhy did you select ThirdEye Data over others?Great culture fitGood value for costReferred to meCompany values alignedHow many teammates from ThirdEye Data were assigned to this project?6-10 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Develop CV ML models to automate image quality assessment for Field Asset Inspection (part of Wildfire Mitigation Program).Key deliverables:Models to Identify the asset, detect components of asset, assess the angles and coverage, occlusion and blur detectionProductionize the models into an ML pipeline on Azure **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?The team delivered the models in time, was able to adapt to changing requirements (e.g., changes in pole tag formats), and also met model performance metric targetsDescribe their project management. Did they deliver items on time? How did they respond to your needs?Yes, they delivered 4/6 models in time, scope and quality. 2/6 were below the expected performance due to technical complexity and their novelty; so we didn't deploy them They were very cooperative and collaborative to meet our needs. They brought in their best to support us.What was your primary form of communication with ThirdEye Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?Commitment and an open mind to learn Also, honesty, if they didn't know they accepted itAre there any areas for improvement or something ThirdEye Data could have done differently?Testing End to end Architecture/Performance early on (cloud and on-prem integration) and an Onsite presence (has cost implication here so can understand). --- #### AI Consulting for Glass Manufacturing Company **The Project** - Services: AI Development - Project size: $10,000 to $49,999 - Project length: Jan. - June 2020 **Project Summary**: ThirdEye Data provided AI consulting for a glass manufacturer. The team set out to determine whether an AI algorithm would improve the performance, reliability, and quality output of the client’s machinery. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Head of R&D, Glas Trösch Group - Industry: Manufacturing - Client size: 5,001-10,000 Employees - Review Type: Phone Interview - Verified **The Review** — Jun 7, 2023 **Feedback Summary**: Thanks to ThirdEye Data’s work, the client realized the importance of improving their data quality, and since AI wasn’t applicable, they saved resources on less costly solutions. ThirdEye Data excelled at project management, communication, and timely delivery, meeting all client expectations. "“Their project management and communication were top-notch.”" **BACKGROUND** Introduce your business and what you do there.I’m the head of R&D at Glas Trösch Group, a glass manufacturing and processing company. We have various operation businesses, the biggest of which is the architectural business. Our company manufactures glass and processes installations, then sells them to facade or window builders. We have an international business in Europe that supplies architectural glass to Singapore, Australia, the US, and the Middle East. We have a smaller business in display glass. Our company also supplies cover glass for different applications, mainly to the automotive industry. Additionally, we provide glass in motion for train systems and acrylic for aviation cockpits. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data?Our architectural glass manufacturing production was in the Stone Age. At the R&D department, our material scientists didn’t know anything about data and the value that could be generated using it. The idea behind the project was to look at our data and check the possibility of applying AI to our process. **SOLUTION** What was the scope of their involvement?ThirdEye Data provided us with AI consulting. Initially, we had several meetings to explain our goal. We tasked the team with analyzing whether we should use AI algorithms to increase our manufacturing equipment's performance, reliability, and quality output. What is the team composition?We worked with three teammates from ThirdEye Data. How did you come to work with ThirdEye Data?We found them through a recommendation. I asked a friend who worked at Google for a suggestion, and they recommended ThirdEye Data. How much have you invested with them?We spent approximately $25,000–$50,000. What is the status of this engagement?We worked with them from January–June 2020. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Thanks to ThirdEye Data’s work, we realized the importance of data acquisition and data quality. We learned that our data quality wasn’t good enough, and AI wasn’t applicable to our kind of production. In our case, this negative result was positive for us, as it enabled us to focus on other solutions that took less time and resources. How did ThirdEye Data perform from a project management standpoint?Their project management and communication were top-notch. ThirdEye Data planned the project well, completed the work on time, and delivered what we expected. What did you find most impressive about them?For me, it was important that a partner matched the deliverables, timeline, and budget, and ThirdEye Data met all those requirements, which is rare in most projects. Are there any areas they could improve?There was nothing they needed to improve; their work was very good. Do you have any advice for potential customers?I recommend working with ThirdEye Data; they’re highly professional and meet expectations. --- #### AI Development for AI Design Platform **The Project** - Services: Custom Software Development, Other Application Development - Project size: $50,000 to $199,999 - Project length: Feb. - Oct. 2019 **Project Summary**: An AI design platform hired ThirdEye Data to help them generate a proof of concept for their patent application. They helped implement GAN models and set up Cloud computing through Google, among other tasks. **Review Rating**: 4.5 - Quality: 4.0 - Schedule: 4.5 - Cost: 3.5 - Willing to Refer: 5.0 **The Reviewer** Owner & CEO, Laiout Inc - Industry: Other industries - Client size: 1-10 Employees - Review Type: Phone Interview - Verified **The Review** — Jul 15, 2022 **Feedback Summary**: ThirdEye Data delivered a well-performing system that helped the client successfully develop their patent application. They fostered a collaborative workflow by communicating effectively and working efficiently. Their enthusiasm, professionalism, and top-notch AI development skills stood out. "“They took the project in stride and had fun with it, and we appreciated that.”" **BACKGROUND** Introduce your business and what you do there. I’m the owner and CEO of Laiout Inc, an AI-powered design platform. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We needed a company that works on AI to generate an idea for us in the architectural space, create a proof of concept, and help us review a patent application. **SOLUTION** What was the scope of their involvement? ThirdEye Data helped us implement generative adversarial network (GAN) models and set up Cloud computing through Google to run our data sets. They more or less made proprietary software for us that ended up being web-based so we could deploy. We started the project by providing them with a project brief detailing what we needed out of the engagement. They then provided us with a proposal that covered what we needed to do. Aside from that, we had a patent attorney prepare our patent application, and ThirdEye Data was kind enough to go over it, review it, and make some suggestions on how to change some of the language. In that case, they went beyond what they were contractually required to do. What is the team composition? My main point of contact was Dj (Founder & Google), but I also worked with five other people from ThirdEye Data. How did you come to work with ThirdEye Data? I found ThirdEye Data through Clutch. How much have you invested with them? We spent somewhere between $50,000–$60,000. What is the status of this engagement? We worked together from February 2019–October 2019. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? ThirdEye Data delivered a system that did what they said it could, and we were able to package that into a patent application. We haven't been awarded the patent yet, but it's undoubtedly a functioning system. How did ThirdEye Data perform from a project management standpoint? ThirdEye Data performed well in terms of project management. We primarily communicate through email, Google Meet, and Zoom. What did you find most impressive about them? ThirdEye Data was one of the firms that could do this work. I could also tell that this wasn't just another project for them — they took the project in stride and had fun with it, and we appreciated that. Are there any areas they could improve? It was sometimes challenging to communicate certain concepts with each other, and that was partially because they were in a different industry than us. --- #### Staff Augmentation for Data Services Company **The Project** - Services: IT Staff Augmentation - Project size: Confidential - Project length: June 2021 - Ongoing **Project Summary**: ThirdEye Data provides outsourced Scala developers to build a superstructure on top of an end-client's Spark and AWS solution. After delivering 60,000 lines of code, the project moved into a second phase. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.5 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Director of Product Engineering, Data.World - Industry: Other industries - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Jul 14, 2022 **Feedback Summary**: Delivering resources with impressive hard and soft skills, ThirdEye Data accurately identifies and follows-through on their clients' needs. Their pricing and overhead transparency stand out, as does their ability to meet deadlines. Customers can expect an attentive and fit-for-purpose partner. ""Their work led me to re-up our contract and add another individual for this second, ongoing phase of the project."" **BACKGROUND** Introduce your business and what you do there. I’m a director of product engineering for a data company. I have a group with a number of core permanent engineers, but we’ve also utilized a variable cloud of personnel and contract services over the course of our current project. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? Our customer is a very large advertising agency, and we’d built a system for them that was designed to process billions of input records and convert those into models of consumers. Our engineer and CTO had built the basic framework for this system on Scala in Spark on the AWS cloud. Our customer then wanted to build some superstructure on top of that. Rather than building up permanent staff specifically for this customer’s needs, I leveraged contract resources of various kinds to complement our abilities. **SOLUTION** What was the scope of their involvement? We needed a lot of competent programmers who could produce Scala code with the framework we’d built in a professional and disciplined way. We delivered around 60,000 lines of Scala code for this project. Most of that happened between 2021 and Q1 of 2022. I reached out to DJ (Founder & CEO) at the start of the process and outlined the requirements for the kinds of individuals that we needed. They supplied two resources in somewhat different capacities. We rolled off people from that effort in March, but we began a second phase, and Third Eye provided another engineer with a slightly different skill set to support this phase as well. What is the team composition? I’m working with three engineers for this project. The exact makeup has changed as the project has evolved, however. How did you come to work with ThirdEye Data? I’d personally worked with DJ a number of years ago at a previous company and had a positive experience with them. I’ve worked with 5–6 other vendors over the course of the past year, and ThirdEye’s resources have worked well with these other outside contractors. They also possessed the hard-to-fit technical chops that I required for this project. We’ve been working together on this project since June 2021. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? We had to make sure that their level of engineering quality met a certain level; they couldn’t just throw warm bodies in our seats. They met this level of professional maturity, as well as the extensive deadlines we set. We all worked together with our other vendors as a team of around 14 to successfully deliver this project. Their work led me to re-up our contract and add another individual for this second, ongoing phase of the project. How did ThirdEye Data perform from a project management standpoint? I’ve also been able to describe very particular skillset profiles, including both hard and soft skills, and ThirdEye has been able to deliver on those needs. They’re much better than other agencies in this regard, which helps us avoid spending money on interviewing candidates that ultimately aren’t good fits. What did you find most impressive about them? They’re very easy to work with. DJ is particularly accommodating. They’re also highly transparent in their pricing and overhead; I don’t have to go through complicated negotiations with them. Are there any areas they could improve? It’s very clear what they have and what you’ll get. --- #### Custom Software Dev for Cyber Security Firm **The Project** - Services: Custom Software Development - Project size: Confidential - Project length: Jan. 2018 - Nov. 2019 **Project Summary**: ThirdEye Data collaborated on a cloud-agnostic cybersecurity platform that supported healthcare organizations. They built a core solution with five use cases, implementing automation, AI components, and more. **Review Rating**: 5.0 - Quality: 4.5 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** CTO, Cyber Security Firm - Industry: Other industries - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Jan 29, 2021 **Feedback Summary**: What started as a smaller, nimble engagement quickly grew into a complex project. Regardless, ThirdEye Data managed to complete the project in just over a year. They bent over backward to solve technical challenges, often racing to see which team could come up with the best viable solution. "“ThirdEye Data was always willing to go above and beyond the initial ask.” " **BACKGROUND** Introduce your business and what you do there. I’m the CTO at a value-added resale company that also has a product development division, an innovation division, a cybersecurity division, and a lab. We primarily support various government agencies along with other commercial customers across the US. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We faced a very complex problem around providing cybersecurity support for healthcare organizations. We couldn’t find any products that could solve those issues, so we thought to spin up an engineering organization that would help us meet those requirements — either by building our own product or identifying technology that could solve our needs. **SOLUTION** What was the scope of their involvement? ThirdEye Data assigned several engineers to augment our existing team as we developed our cybersecurity product. They were responsible for building our core microservices-based platform along with most of the polyglot storage systems. These systems were essentially built for purpose, meaning that instead of using a monolithic data store, we leveraged data stores based on the requirement or use case being deployed. We kept the solution decoupled and have made sure that the solution was cloud-agnostic so that it could run on basically any cloud platform. Our work is predominantly based on Java. What is the team composition? Over the last two years, the team has grown to about 15–20 people in different capacities. There were two data scientists, 10–12 full stack developers, and experts for various technologies that we wanted to leverage. The product manager runs all of our scrums, and there’s a documentation specialist, as well. The team scales up depending on our needs. For example, we’ve recently gotten more into data analysis and management. They’ve made it easy for us to add on additional resources with the right expertise and seniority. How did you come to work with ThirdEye Data? After a lot of research, we reached out to numerous teams within the US. We then narrowed down the list of candidates based on the agency's understanding of our technical problem and if they had the right domain skills to solve it. ThirdEye Data had a broad range of skills at the price point that we were looking for. They were readily available, too. We knew we wanted to start small and nimble so as not to blow up our budget, but we also wanted to have access to their senior team members as our relationship grew. Their team was willing to provide both the tech skills and a depth of expertise to the table that matched the goals on hand. Finally, I was excited to see that they had past experience in many similar projects. They’d demonstrated some projects from Microsoft worked on a lot of international projects. That allowed us to get good references from their past customers. What is the status of this engagement? We worked with them between January 2018–August 2019. We knew that we wanted to eventually keep the development in-house because our product would be reviewed by a lot of government and civilian agencies. We hired more in-house developers, and they transferred over the development to us. Now, we only leverage ThirdEye Data when needed. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? We were running at breakneck speed. Actually, our scope changed from one thing to five add-ons as we went through our prototyping phase. As soon as that first phase ended, we used the product as a foundation for additional use cases. The final result was getting five core components built onto our platform at a fairly fast pace. Our target was 12 months, and we ended up completing the platform in 13–14 months. That’s a great success measure of success. I’d also commend their innovative thinking around some of our core processes (e.g., automation, JavaScript components, frontend development). Toward the latter part of the project, I was really impressed with their machine learning and AI algorithms. The situation really required a lot of back-and-forth to get deep insights — it wasn’t even a coding problem at that point. How did ThirdEye Data perform from a project management standpoint? We could’ve done a better job managing the project. With the scope increasing, it became difficult to manage the multiple streams of work. They didn’t end up adding on more project managers, but we should’ve hired another manager internally to better manage expectations. That would’ve helped us keep track of dependent teams and control the cost. As for our tools, we used Aha! to prioritize our road map and set up our sprints. We leveraged Atlassian Suite to manage our code, Jira tickets, and automation. What did you find most impressive about them? ThirdEye Data was always willing to go above and beyond the initial ask. Whenever we struggled with anything, their team would do a lot of research and come up with their own thought process. They’d actually break up into two camps to test out ideas: one camp would try one approach while the other tried something else. They were very excited about this “horse race” so to speak, which showed that they were really invested in what we were trying to do. Are there any areas they could improve? Collectively, we should’ve taken a step back and spent some time thinking about how to manage our project more effectively. It started off fairly nimble, but things got complicated once we got into tens of thousands of lines of code. That might be something that we look at more internally. Do you have any advice for potential customers? Have a candid thought leadership conversation with their team. They’re not a headhunting company that fills seats; these are people who bring a lot of domain expertise to the table. Their team understands business and technology principles just as much as they understand your goals and desired outcomes. Beyond that, if you plan to own the code, then you have to own the knowledge as well. Knowledge sharing needs to be baked into the process. That’s why having those high-level conversations with ThirdEye Data made the end product that much better. --- #### Mobile App Development for Software Development Company **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: Nov. 2019 - Mar. 2020 **Project Summary**: ThirdEye Data developed a mobile application for a software development company. The technologies used were Xamarin, .NET, Classic ASP/ASP.NET, OCR library, and API integration. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Chief Technology Officer, Triadd Software Corporation - Industry: Other industries - Client size: 1-10 Employees - Review Type: Online Review **The Review** — Jan 26, 2021 **Feedback Summary**: The product delivered by ThirdEye Data helped in releasing the client's next version of their industry-leading software. The team communicated excellently and was always available whenever the client reached out. ""Their capability to deliver was second to none." " **BACKGROUND** Please describe your company and your position there. Triadd Software are a software development company specializing in Digital Records Management. I was the acting CTO at the time of development and deployment. **OPPORTUNITY / CHALLENGE** For what projects/services did your company hire ThirdEye Data, and what were your goals? To create a companion mobile application which leveraged OCR and could integrate with our existing application. **SOLUTION** How did you select ThirdEye Data and what were the deciding factors? ThirdEye can quickly envision the end goal and have a team who work tirelessly to ensure the dream becomes real. The flexibility demonstrated when accommodating changes was a breath of fresh air, and the overall delivery including project management was exemplary, Describe the scope of work in detail, including the project steps, key deliverables, and technologies used. Xamarin, .NET, Classic ASP/ASP.NET, OCR library & API integration How many people from the vendor's team worked with you, and what were their positions? We had a team of 5 developers working with us, and they were all amazing, each brought a unique perspective to the engagement which enabled us to build a well-rounded application which resonated with all of our customers. **RESULTS & FEEDBACK** Can you share any measurable outcomes of the project or general feedback about the deliverables? The work ThirdEye helped deliver was instrumental in ensuring our company delivered against our promise to our customers and released the next version of our industry leading software. Describe their project management style, including communication tools and timelines. Weekly updates, weekly meetings (sometime two meetings per week) which was fantastic. Round the clock team availability (ThirdEye and our own staff) which meant we were able to operate in a wider development window across two primary time zones. What did you find most impressive or unique about this company? Their capability to deliver was second to none. ThirdEye brought a wealth of experience both technology and business consulting, which enabled us to identify missing or inadequate feature designs early in development. Are there any areas for improvement or something they could have done differently? The engagement went very well and we consider ThirdEye a valued and trusted technology partner for us. --- #### AI Platform Dev for Monitoring Solutions Software Company **The Project** - Services: Custom Software Development, Other IT Consulting and SI - Project size: $50,000 to $199,999 - Project length: Oct. 2018 - Dec. 2020 **Project Summary**: ThirdEye Data was tasked with building an AI-based layer for an internal product. The purpose of the tool was to analyze data and automatically identify errors. **Review Rating**: 2.0 - Quality: 2.0 - Schedule: 1.0 - Cost: 2.0 - Willing to Refer: 1.0 **The Reviewer** CEO, Monitoring Solutions Software Company - Industry: Other industries - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Jan 7, 2021 **Feedback Summary**: ThirdEye Data did not meet the business' expectations, failing to complete the project as requested. The work they did was unsatisfactory, and they were unable to resolve issues that arose. Although their engineers were individually strong, the team as a whole wasn't reliable. This review includes the vendor's response. ""I never got what I paid for." " **BACKGROUND** Introduce your business and what you do there. I’m the CEO of a software company for monitoring solutions. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We wanted to build an AI or machine learning module for our product in order to analyze the data we were collecting. We wanted to use this module to detect anomalies and carry out predictive analysis based on the outcomes of the model. We have a monitoring platform where we collect data from endpoints and technologies to measure performance, availability, and SLA. We are alerted when something is wrong or there are issues with any elements in the technology stack. **SOLUTION** What was the scope of their involvement? ThirdEye Data began to define and build a layer of the AI or machine learning-based analytics to take care of all the integration with the product. Instead of defining thresholds, the model would automatically learn the normal behavior and would be able to indicate when something was abnormal. What is the team composition? There were 4–5 people, including a project manager. How did you come to work with ThirdEye Data? We were introduced to them through one of our investors who used to work with them. How much have you invested with them? We spent $100,000. What is the status of this engagement? We worked with them from October 2018–December 2020. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? We had two projects. The first project was not successful. We gave it another chance. The second project was supposed to end in October or November 2020, but at some point, we came to the conclusion that they wouldn’t be able to deliver what we were looking for. The project was never completed, at least not to our satisfaction. They did some work in some aspects but there were lots of things that weren’t completed as we defined in the scope of work for the project. I never got what I paid for. There were deliverables, but they didn’t comply with what was agreed upon from the start. The first project was in 2018, and it ended after a few months. It wasn’t even usable. It was our first AI project, so we didn’t have lots of knowledge or experience. We hoped that they’d be able to do it, but we didn’t get anything from them for almost a year. In 2020, we engaged them again around April, but this time, we tried to be very accurate with the statement of work (SOW) and the objectives of the project. We gave very clear and specific use cases. We had too much back and forth about the same issues that we were facing. How was project management handled? At some point, their project manager left and they replaced him. They continued to try to resolve the issues we had, but we kept having the same issues. They just didn’t know how to solve them. ThirdEye Data said they wouldn’t take responsibility for the project even though they were responsible for it. We had planned a third phase, but they said they didn’t want to continue. We communicated with the owner, and they had access to our Jira and our systems. They became part of our R&D in some ways. They were responsive when we needed them, but the results weren’t good. Is there anything that the vendor did well or that you would consider a strength? They have great engineers, but the owner doesn’t take responsibility for the commitment. Individually, they have good people. When you’re employed by someone who is telling you that you need to do something in 20 hours, but you need 80 hours, obviously, the delivery isn’t going to be good. Are there any areas they could improve? When they get into a project, they need to know that they for sure can complete it. If they need more time and more people, they should take responsibility and do it rather than terminate a project in the middle and leave the customer stuck with something that’s not fully done. Now that we’re trying to fix what they did, I know that they made some incredibly wrong decisions in their design and way of doing things. Do you have any advice for potential customers? I wouldn’t recommend anyone to work with them. I was very disappointed. The biggest problem was that they didn’t take responsibility, and once we paid them, that was it. If you're going to work with them, make a very clear SOW, and don’t pay anything before you get the work. **Company Response** The vendor responded on January 11, 2021. This review is not an honest and fair review of the work that ThirdEye has done for this client in the last 2+ years, The project deliverables, the final outcomes, the value generated is proved by the fact that the AIOps platform that ThirdEye developed for the client is broadly marketed on their website and all marketing communications. ThirdEye took a business idea and converted it into a commercially sold product. The client's CEO acted with malicious intent because we declined to work with him further into Phase 4 due to the acrimonious environment he personally created during these phases of the project. I have proof in emails exchanged between us and other project-related documents where the CEO has praised the work done to date. He appreciated the outcomes so much that he wanted to quickly start the next phase. The root of this vitriolic vendor-client relationship is the fact that the CEO simply does not understands that: AI projects are not like regular software development projects where tasks are done in a waterfall model. AI projects are iterative by nature as the AI models need training and analysis in an iterative manner. Fixed bid projects are not just fixed by the project amount but also by the time and resources allocated. I challenge the client to conduct a technical review of our work by a neutral third-party technical reviewer. If our work is found to be sub-standard or it is ascertained that we took wrong technical decisions, I am willing to REFUND the full project amount to the client. --- #### Voice Audio Data Collection for AR Project **The Project** - Services: BI & Big Data Consulting & SI - Project size: $10,000 to $49,999 - Project length: June - Dec. 2020 **Project Summary**: ThirdEye Data helped collect voice audio data for a company that is developing an augmented reality retail tool. They vetted candidates to make sure the audio would be of the highest quality. **Review Rating**: 4.0 - Quality: 4.0 - Schedule: 4.0 - Cost: 5.0 - Willing to Refer: 4.0 **The Reviewer** Market Analyst, Augmented Reality Studio - Industry: Other industries - Client size: 11-50 Employees - Review Type: Phone Interview - Verified **The Review** — Dec 28, 2020 **Feedback Summary**: Delivering about 3,000 audio recordings that met the client's specifications, ThirdEye data performed well in the partnership. They developed an understanding of the project's requirements quickly and even built their own project management tool to better fit the engagement's nuances. "“They were always willing to adapt strategy and the contract to make sure we were happy at the end of the day.” " **BACKGROUND** Introduce your business and what you do there. We’re developing an AR technology for use in the retail space. I’m a market analyst, focusing on the latest technology in AR head-mounted displays. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? They were helping us collecting a large amount of voice audio data for us to train an AI program to develop voice activation and voice-related features for the program. We didn’t have the resources in-house to collect audio data from a large number of voices, so we called on them. **SOLUTION** What was the scope of their involvement? First, we met to talk about the requirements for the participants in the data set. We needed a wide variety of voices, in terms of age and ethnicity. After developing an understanding of our needs for the data set, they set up a website with a recording system that allowed for participants to sign up. They took charge of vetting candidates to make sure they were of the correct age range and ethnicities we specified. If selected, the participant could then record the script on their own. The team would check the audio for quality and share the files with our team. We’d offer feedback, and our teams would work together until the audio files met our standard for quality and content. Once the files were acceptable, they saved all relevant data and shipped it to us. What is the team composition? Early on, there were about 6–8 teammates on the project. Later, we were able to automate some tasks, so the team was reduced to 3–4 people. How did you come to work with ThirdEye Data? We found them on Clutch and selected them based on the information we found there. How much have you invested with them? We’ve spent about $24,000 on their work. What is the status of this engagement? The project lasted from June–December 2020. While we finished up this project, we plan on engaging them for similar work in the near future. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? They were able to deliver about 3,000 audio recordings, and the audio generally was what we were looking for. It took a few iterative cycles to work out some issues with some of the audio files, but they were quick to respond and correct all problems. It wasn’t a perfect journey, but they did a great of making sure we were happy at the end of the day. Our company was scaling rapidly at this time as well, so there could’ve been some miscommunications on our part. How did ThirdEye Data perform from a project management standpoint? They developed their own project management system through a website service. We started using a mixture of Google tools and Confluence, but that ended up not being sufficient for our project. In response, they created their own website management service where we could manage the entire project and deliverables. They built that from scratch. We communicated through weekly calls with the CEO and key players, where I received information on progress and got answers to my questions. What did you find most impressive about them? This was a fast-paced project, and they were always willing to adapt strategy and the contract to make sure we were happy at the end of the day. It was a very productive and healthy engagement. Are there any areas they could improve? They had some employee churn, and newly-onboarded employees took some time to ramp up to speed. This meant that some tasks weren’t completed on schedule and the quality of some work was sub-standard. Whenever we noticed this, they were prompt about correcting the issue. Do you have any advice for potential customers? They’re willing to communicate regularly and often, which really helped the project be successful. --- #### Analysis Reporting for Business Coaching Service Provider **The Project** - Services: BI & Big Data Consulting & SI - Project size: $10,000 to $49,999 - Project length: Sep. 2019 - Mar. 2020 **Project Summary**: ThirdEye Data helped with the development of a data analysis and reporting system for a personal development company. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CTO, Brave Thinking Institute - Industry: Business services - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Jun 2, 2020 **Feedback Summary**: Though the system hasn’t been implemented due to external factors, the client is happy with ThirdEye Data’s work. The team was efficient and motivated, and their work positively impacted the client’s company culture. ""Their work made team members more aware of the importance of data and how it can make a difference for our company." " **BACKGROUND** Introduce your business and what you do there. I am the CTO of the Brave Thinking Institute. We do personal development coach training, and also advise on how to improve one’s business and life. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We wanted to create analysis reporting for our company. **SOLUTION** What was the scope of their involvement? We wanted to create a way to synthesize data so that we could calculate the profitability of each event we host. They put together a complete overview of what resources we would need, timelines, systems, and other things so that we could implement the system. This was part of the first phase of their work. We used this information to decide our budgets for the coming year. Because of COVID-19, we haven’t been able to pursue actual implementation. What is the team composition? Aparajeeta (Co-Founder & Chief Delivery Officer) was our main contact. She had a larger team supporting her. Most of the direct interaction was with her, but we also had conversations with Dj (Founder & CEO) during the process. How did you come to work with ThirdEye Data? One of my team members found ThirdEye through an online search, I believe. We narrowed it down to two or three companies, but ThirdEye was the only one able to give us the confidence that they really could do this. They really understood what we were trying to achieve. How much have you invested in them? We spent around $25,000. What is the status of this engagement? We started working together in September 2019, and we put the project on pause in March 2020. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Their work made team members more aware of the importance of data and how it can make a difference for our company. We saw a shift in the culture of the company, and of people being more aware of keeping track of data and reporting on data. How did ThirdEye Data perform from a project management standpoint? They did really well. They kept pushing it forward and they were very aware of our deadline. They were good at making contact with us and our company is very good at that well, so it was really the meeting of two minds and it really went well. We are 100% a virtual company. Now we have 75 staff members, and they are all working virtually. Therefore, we had all of our meetings via Zoom. We used Basecamp and Microsoft Teams which they provided. What did you find most impressive about them? They understand data and have the ability to understand how we use data. They were able to understand that getting the data out of the system was just the first stage. It is a very important stage, but it is what comes after that, that is really important. Other companies we spoke to were focused on data but not necessarily on what comes after, or were talking about what comes after but didn’t reassure us when it came to the data itself. With ThirdEye, I felt we got the whole package. Are there any areas they could improve? I don’t think so. All the way through we had a really iterative process. If we misunderstood each other, there were a couple of conversations where everything was resolved, and we moved forward. There were no issues at all. We were brilliant in sorting out issues. It is one of the smoother projects I have worked on. Do you have any advice for potential customers? Really listen to what ThirdEye has to say. Where the majority of people miss out is that they don’t understand the linkage between what data is and how you interpret the data and what you can use it for, and I think that is one of the aspects where I think ThirdEye really shines. --- #### Data Development & Management for Private Supply Company **The Project** - Services: BI & Big Data Consulting & SI - Project size: $200,000 to $999,999 - Project length: Sep. 2019 - Ongoing **Project Summary**: ThirdEye Data handles the data development and management services for a supply company. Using Microsoft Azure, their team built an analytics platform and created end-to-end use cases. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.0 - Cost: 5.0 - Willing to Refer: 4.5 **The Reviewer** IT Portfolio Manager, Private Supply Company - Industry: Energy & natural resources - Client size: 51-200 Employees - Review Type: Phone Interview - Verified **The Review** — Mar 13, 2020 **Feedback Summary**: The business outcomes have all been positive and have saved the partner revenue. ThirdEye Data maintains an effective project schedule and meets deadlines. Their team is flexible and makes themselves available for communication. Their entrepreneurial spirit is a hallmark of their work. "“They were aligned with the objectives of our company.” " **BACKGROUND** Introduce your business and what you do there. I’m the IT portfolio manager for a privately-held supply company. We distribute and process tubular goods for the oil and gas industries. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We needed help with data development and management for our company. **SOLUTION** What was the scope of their involvement? ThirdEye Data set up an analytics platform to create a digital replica of our organization which includes IT. This was in order to bring visibility to our current performance levels for all functions. They helped us set up the data and pipelines. In addition to that, they created at least one or two end-to-end use cases. This is so people can see the value and get excited about what’s possible on this new platform. We’re keeping ourselves primarily limited to Microsoft Azure. Our teams worked together to complete this project. The backend pipeline set was completely theirs, but for areas where they needed business input, we worked together. What is the team composition? I worked directly with 7–8 people. How did you come to work with ThirdEye Data? We discovered them through word of mouth. My friend knew of ThirdEye Data, and I did some exploring. I spoke to the owner, and we brought them to our office in the evaluation phase. They were aligned with the objectives of our company. It looked to me that they understood business outcomes are important for the success of the project. What’s more, they had more commitment to it than others. We still have to be outcome-oriented, and that was one of the major differences — that they were committed to the business outcomes. ThirdEye Data is not a very large company, which was important for us. They’re based in Silicon Valley and possess more entrepreneur flavor in their operations. Those were some important factors in choosing them. How much have you invested in them? We’ve spent between $200,000–$1,000,000. What is the status of this engagement? We began working with them in September 2019, and the work is still ongoing. We’re now stabilizing and expanding the platform. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? My company has been able to avoid some costs by creating this solution. We gauge the success of the project by understanding the business outcomes which we’ve received. So far, those have been positive overall. How did ThirdEye Data perform from a project management standpoint? They’ve been good at scheduling and meeting deadlines. What did you find most impressive about them? ThirdEye Data has been able to understand that this is a great platform to build on. Business leaders have also understood the value, and are the ones we need to drive forward. Are there any areas they could improve? There could’ve been an improvement in the consistency of the work process to better align with the objectives; Especially with what we did in those initial few months. Partners in organizations put in different resources and come out with different skillsets. It’d be helpful if ThirdEye Data understood our business better. It’s a big challenge though. If the people who are doing the execution understand the business better, we could minimize communication problems. Do you have any advice for potential customers? Engage and be upfront with ThirdEyeData in the early phases and work on syncing your minds. They’re usually available in our time zone and are flexible. Try to engage with them at a team level and remove communication barriers if possible. --- #### Data Lake Configuration for Media Company **The Project** - Services: BI & Big Data Consulting & SI - Project size: $200,000 to $999,999 - Project length: Apr. 2017 - Ongoing **Project Summary**: ThirdEye Data set up an AWS-based enterprise data lake. They used Apache Spark and hybrid technology to set up compute clusters. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.0 - Cost: 4.5 - Willing to Refer: 4.5 **The Reviewer** Manager of Enterprise Data Services, Media Company - Industry: Media - Client size: 1,001-5,000 Employees - Review Type: Phone Interview - Verified **The Review** — Mar 21, 2019 **Feedback Summary**: The new data lake has centralized information storage, making silos obsolete and allowing the internal team to quickly analyze data. ThirdEye Data drew from their strong technical knowledge to select the ideal tech stack. Clear communication facilitated a smooth workflow. "ThirdEye Data was able to get inside our tech environment and set up the data lake fairly quickly.” " **BACKGROUND** Introduce your business and what you do there. I’m the manager of enterprise data services for a media company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We initially had a SQL server business intelligence (BI) stack but found that we needed an enterprise data lake. After identifying the gaps in our team’s capabilities, we brought on ThirdEye Data to help us configure the data lake. **SOLUTION** What was the scope of their involvement? We decided to leverage AWS as a data lake. Because we wanted to have a persistent cluster for computing, we started with Apache Spark and hybrid technology. The initial implementation included adjusting our data from various silos and databases into one central place. What is the team composition? They had a project manager and an architect on-site as well as 6–8 resources offshore. How did you come to work with ThirdEye Data? I’d worked with them while at my previous job, and they’re well-known in the big data space. How much have you invested with them? We’ve spent about $100,000–$250,000 thus far. What is the status of this engagement? We started working together in April 2017, and the work is ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? ThirdEye Data was able to get inside our tech environment and set up the data lake fairly quickly. The new enterprise data lake eliminates silos by centralizing our information, which has improved our data analysts’ productivity and reduced analysis time from months to weeks to sometimes days. How did ThirdEye Data perform from a project management standpoint? I’m very happy with their communication. If they encounter issues or foresee any issues, they bring them up ahead of time. We use a Scrum methodology. What did you find most impressive about them? Not only do they know which technology to leverage, but they also understand the strengths and weakness of the technology landscape and can manage change. Are there any areas they could improve? Their niche is Apache Hadoop-based enterprise data lakes, so if they can improve their skills as a company in cloud data warehouses, they would be able to build even better solutions. --- #### Implementation Partnership with Tech Enterprise **The Project** - Services: BI & Big Data Consulting & SI - Project size: $200,000 to $999,999 - Project length: Jan. 2011 - Ongoing **Project Summary**: ThirdEye Data implemented a security systems solution for a third party. The team used Kubernetes. **Review Rating**: 4.5 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** Data Science Thought Leader, Technology Enterprise - Industry: Other industries - Client size: 10,001+ Employees - Review Type: Phone Interview - Verified **The Review** — Mar 8, 2019 **Feedback Summary**: The implementation received positive feedback and notable public attention. ThirdEye Data achieved success by leveraging a versatile skill set and determined attitude. Their knowledge and concentration stood out. ""The team works hard and delivers." " **BACKGROUND** Introduce your business and what you do there. I’m a data science thought leader at a technology enterprise. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We needed guidance for the implementation of our project. **SOLUTION** What was the scope of their involvement? We were building a security systems solution with one of our partners. Using IBM Watson Studio throughout the project, ThirdEye Data installed and set the code and solutions with Kubernetes. What is the team composition? I never worked directly with them on a project. I had many project managers that worked with them. How did you come to work with ThirdEye Data? I met ThirdEye Data at a conference and worked with them at my previous organization. I chose them for this project based on that successful partnership. How much have you invested with them? We’ve spent $500,000. What is the status of this engagement? We started working together in January 2011 and the partnership is ongoing. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? The team successfully built and implemented a cybersecurity product for my partner. That partner noted ThirdEye Data’s instrumental work on their blog and in a keynote speech at a major conference. How did ThirdEye Data perform from a project management standpoint? The team works hard and delivers. What did you find most impressive about them? ThirdEye Data is reliable, focusing primarily on AI, data science, and big data. The team’s focus, skill set, and breadth of expertise distinguish them. Services range form full-stack microservice Kubernetes virtualization to implementing third-party data science models. Are there any areas they could improve? They could focus a little bit more on the data science automation aspects. --- #### Machine Learning Development for Medical Technology **The Project** - Services: Custom Software Development - Project size: $10,000 to $49,999 - Project length: Feb. - Jan. 2018 **Project Summary**: ThirdEye Data assisted with the exploration of a machine learning project, developing and setting up features that can predict medication from either text or a photograph such as Fuzzy Matching and TensorFlow. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 4.5 - Cost: 4.5 - Willing to Refer: 5.0 **The Reviewer** VP of Technology, Cannabis Technology Firm - Industry: Other industries - Client size: 1-10 Employees - Review Type: Phone Interview - Verified **The Review** — Mar 6, 2019 **Feedback Summary**: This pilot project served for recognizing the amounts of data required for future machine learning ventures, though several parts of the tech they developed were deployed in the current software offering. Easy communication, thorough documentation, and speed of delivery are highlights of their work. ""Furthermore, the quality of their work was terrific." " **BACKGROUND** Introduce your business and what you do there. I’m the VP of technology at a company that manufactures hardware and software related to medical cannabis use. We have software that’s designed to help people manage chronic pain. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We had a machine learning project that we wanted to get going to see if we could use it as a basis for some of the later machine learning projects that we’d like to do as part of our software platform offering. **SOLUTION** What was the scope of their involvement? Part of what our software does is helping chronic pain sufferers to input their current medications. Since medication names are often difficult, we wanted to skip that process of typing out the name. We wanted to help users automatically determine what kind of medication and dosage they’re using based on a photograph of their medication, which is uploaded to our servers. Then, we’d come back with an informed guess for what that medication is. We knew the project would involve machine learning. ThirdEye Data put together a proposal that suggested a couple of different approaches, and we narrowed it down to one of them. We decided to go with TensorFlow, along with some optical character recognition (OCR) libraries and some Fuzzy Matching strips behind the scenes that could take an approximation of what someone had typed or from a photograph of an actual pharmaceutical label. Sometimes the OCR isn’t 100% perfect, and so the Fuzzy Matching lets us take something that had either been typed or had been taken from an image and cross checks it against our list of 5,000 known medications for pain. We’re currently working with them on a different project. What is the team composition? There were six or seven team members involved, including a project manager. How did you come to work with ThirdEye Data? I wasn’t involved in selecting ThirdEye Data. We had a couple of conversations, and they walked us through some of the projects that they had done in the past that were similar to what we were looking to do. They put together a proposal for us, and we decided to go ahead with that pilot project. How much have you invested with them? We spent $25,000 for this project. What is the status of this engagement? We started working together in February 2018, and the work lasted a month. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? One of the main outcomes of this project is that we realized the large amounts of data that we would need to successfully run future machine learning projects. There’s a public pill dataset composed of images, and ThirdEye Data did a great job of multiplying those images to do the machine learning training. To productize something like that, we would need many more images. In terms of our direction, the project let us know what we would need to do to make something like that successful in a consumer-facing product. However, we’ve taken pieces of the technology they developed and deployed it into our product, especially the Fuzzy Matching stuff that they did. How did ThirdEye Data perform from a project management standpoint? We had weekly or biweekly meetings to run through the project’s status. Their communication was fantastic, and documentation and the code delivery were top notch. We were able to selectively take parts of what they had done and deploy it with other teams without any issues. Furthermore, the quality of their work was terrific. Any time there were any issues or new lessons that had come out of what they’d done, we could easily recalibrate what we were doing. What did you find most impressive about them? The speed at which they completed the work was impressive, and their cost was good in terms of value. Are there any areas they could improve? No, I can't name anything. --- #### Scheduling Tool Dev for Defense Contractor **The Project** - Services: Custom Software Development - Project size: Confidential - Project length: Sep. - Dec. 2017 **Project Summary**: ThirdEye Data developed a scheduling and deployment tool that could be easily modified based on aviation squadrons’ travel and accessibility. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 4.0 - Cost: 0.0 - Willing to Refer: 4.5 **The Reviewer** Aviation Product Lead, Innova Systems - Industry: Other industries - Client size: 201-500 Employees - Review Type: Phone Interview - Verified **The Review** — Jul 20, 2018 **Feedback Summary**: Despite the ThirdEye team being dispersed around the globe, they were engaged, communicative, and quickly responded to bugs with effective fixes. The scheduling tool they created has enabled successful scheduling for separate projects. ""They were engaged in working with us to find a solution, and I was impressed by the quality of their deliverables." " **BACKGROUND** Introduce your business and what you do there. I am a product manager at Innova Systems. We focus on applications for the Department of Defense, primarily for the Navy. We have five products that support squadron readiness, aircrew readiness, aircraft carrier personnel readiness, and a learning management system that supports the aviation squadrons and their tactical postgraduate training. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We needed to develop a scheduling and deployment tool that was easy to modify to roll out a new version of our application to aviation squadrons. **SOLUTION** What was the scope of their involvement? We were updating an application called Sharp to its newest version, which has a dramatic change in the architecture, technology stack, and functionality, and needed a scheduling tool. Based on deployment schedules of squadrons and timing of their readiness schedules, we knew that we would have to spread the deployment out to over 200 units across a roughly 12–18 month period. We had to take into account each squadrons' readiness profiles, which is a cyclical process of getting ready for deployment, deploying, remaining in the search capability, resting for a while, and then repeating the whole thing. Where they are in this cycle either makes the squadron easily attainable or means that we have to hold the deployment until they’re past the critical phases deployments and search periods. We also had to take into account where the squadrons were located. While some of them are in high concentration areas, about a quarter of the units are geographically dispersed overseas or around the country. We went to ThirdEye with this information and asked how they would build the schedule and scheduling tool. The tool they built enables us to modify the inputs to the scheduling tool based on travel arrangements and squadron accessibility and readiness. What is the team composition? At its peak, we had a team of five or six people dispersed through the U.S. and India. We worked most frequently with our project manager but had at least weekly communication with the whole team. How did you come to work with ThirdEye Data? We were working with a third party on several initiatives, including the scheduling and deployment. That company worked closely with ThirdEye and offered their services to evaluate possibilities and ultimately build the scheduling tool. What is the status of this engagement? We worked together from September 2017 through December 2017. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? The project was so focused that it didn’t have a company-wide impact; there weren’t any metrics that we were tracking. However, we have modified the tool for separate efforts and it has helped increase our efficiency in scheduling and deployments. There were some bugs in the initial product, but once we identified them, the owner immediately took the product back. They worked on it in their own time, and a few weeks later they delivered a better product. How did ThirdEye Data perform from a project management standpoint? They were very engaged. I spoke with the project manager once or twice a week on top of our weekly team meetings. We coordinated convenient times for the entire team to get together, and they had very active participation. With as geographically dispersed as the team was, they were extremely accommodating of my time and the time difference. For example, if we were to have meetings at 9:00 am our time, the team members in India would be speaking with us at what was midnight for them. They were incredibly responsive. What did you find most impressive about them? Since this was a unique project, we don’t have experience with other firms similar to ThirdEye so I can’t compare them in that way. However, I will say that they were engaged in working with us to find a solution, and I was impressed by the quality of their deliverables. Are there any areas they could improve? About halfway through the project, we had to significantly shift the project’s direction. I definitely carry some of that responsibility because I think I could have done a better job clarifying the requirements. However, I think the situation could have been improved if they had thoroughly documented and reviewed the requirements on their end to make sure that everybody understood what was intended. --- #### BI Development Partner for Software Firm **The Project** - Services: BI & Big Data Consulting & SI - Project size: $200,000 to $999,999 - Project length: Jan. 2016 - Ongoing **Project Summary**: ThirdEye Data develops field assets for a business intelligence portfolio, including cloud data integration software, modern data warehousing, and a platform for intelligent analytics and data preparation. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Technical Product Marketing Manager, Software and Solutions Enterprise - Industry: Other industries - Client size: 10,001+ Employees - Review Type: Phone Interview - Verified **The Review** — Jun 20, 2018 **Feedback Summary**: ThirdEye Data’s software prototypes maximize field readiness on a global scale. Their knowledgeable team produces quality deliverables at an astonishing pace. Although their marketing efforts are lacking, they’ve built an excellent reputation within the industry from their talents alone. "“They understand our business goals and move quickly to deliver practical solutions.” " **BACKGROUND** Introduce your business and what you do there. I’m the senior product marketing manager for a software and cloud services provider. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We needed a larger development team to improve our software prototyping efforts. **SOLUTION** What was the scope of their involvement? ThirdEye Data creates field assets for our technical sales staff to ramp up on the latest services and technology, use those resources to build appealing products, and confidently pitch the product’s capabilities in addition to the broader ecosystem integration. They develop prototypes for our entire business intelligence portfolio, including cloud data integration software, modern data warehousing, and intelligent analytics and data preparation platforms. Features include advanced visualizations and data surfacing. The field assets are used for technical demonstrations, presentations, and solution accelerators. What is the team composition? Although we have an assigned project manager, their CEO occasionally steps in to facilitate those duties. We also have direct contact with their development lead. How did you come to work with ThirdEye Data? We discovered them through an internal reference. How much have you invested with them? We’ve spent between $350,000--$400,000 over the last three years. What is the status of this engagement? They worked on this project from April 2017—September 2017, but they’ve been our preferred vendor for three years. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Their work impacts 20% of our field personnel, which in turn enables our entire company with worldwide readiness. How did ThirdEye Data perform from a project management standpoint? Their level of availability and responsiveness is excellent. Having access to the lead developer minimizes miscommunication and ensures that they're meeting delivery deadlines. What did you find most impressive about them? Their ability to operate end-to-end across our entire stack is impressive. They understand our business goals and move quickly to deliver practical solutions. Are there any areas they could improve? Although ThirdEye Data is well known within our industry, they aren’t as visible in our broader commerce space. They should take advantage of our partner programs to expand their business. --- #### AI Platform Development for Development Bank **The Project** - Services: BI & Big Data Consulting & SI - Project size: $10,000 to $49,999 - Project length: Oct. 2015 - Jan. 2016 **Project Summary**: ThirdEye Data developed an artificial intelligence platform to search significant volumes of information. They used IBM technologies including Watson and Web Explorer, as well as Python. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** IT Lead Specialist, Multilateral Bank - Industry: Other industries - Client size: 1,001-5,000 Employees - Review Type: Phone Interview - Verified **The Review** — Jun 1, 2018 **Feedback Summary**: The application was created as a proof of concept in order to test the technology, producing solid results and leading to plans to scale it up. The team responded well to changing technology needs, incorporating Python as required, while always keeping on top of the project's weekly progress. ""They have the ability to come up with additional solutions." " **BACKGROUND** Introduce your business and what you do there. We’re a multi-lateral bank. Our primary function is to lend money to governments to implement projects both on social and infrastructure projects. I’m responsible for a group who manages innovation and supports the VP sectors within the institution. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We invest in artificial intelligence (AI) and machine learning and had an internal project that required us to analyze and find experts within the institution. We were using AI to search the information based on the curriculum of the employees, the type of work they had done in the past, and papers that have been published in order to identify specific skillsets that we need for some project engagements. **SOLUTION** What was the scope of their involvement? A lot of our staff implement projects in their regions, meaning there's a lot of documentation regarding what they’ve done as well as information on our website. One of the challenges, when we were looking to start a new project, was to find people that have done a project like this in the past. ThirdEye searched and crawled those different project completion reports to find that information, using IBM technology. They used the Watson technology and Web Explorer, for instance, for the search capability. They crawled this information and apply some of the methodologies, ontologies, metadata, and natural language to understand what the documents were all about. All those components gave us a rating in terms of the team leads and its ability to successfully commit the projects. They then created a frontend application that allows to search for people using natural language. You can identify someone who has worked in a specific country, in a specific sector, with X amount of years’ experience. It identifies very specific things, which is where the natural language, the machine learning, and the AI came into place. What is the team composition? They had a team of five. There’s a data architect, the project manager, and people that were specialized in machine learning and data modeling. How did you come to work with ThirdEye Data? We found them through IBM as we use a lot of IBM technology here at the bank. ThirdEye also partners directly with them. How much have you invested with them? $40,000. What is the status of this engagement? We worked together from October 2015 until January 2016. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? Before we actually implemented or acquired the tools that are required, we decided to do a proof of concept with them to test the technology. That was very successful because we were really able to see the results. They had to do some Python coding as well as use IBM technologies, in order to complement the solution. That was an element of surprise and a good learning experience. We knew that the technology wasn’t fully ready to do what we wanted it to do, but they found a solution by incorporating some extra code. As a result of that, we're scaling up now with more funding for the project. We have been approved for this year to scale up. We’re going to incorporate additional sources of information to have more robust and better results in terms of how to identify some talents, specialists, and expertise within the institution. How did ThirdEye Data perform from a project management standpoint? They provided us with a full technical architecture to show all the components and how they would interconnect or interact. We had weekly check-ins to review the progress and adjusting some things. What did you find most impressive about them? They have the ability to come up with additional solutions. They’re not just focused on one technology stack, but are very well versed in other technologies. They were very familiar with Amazon Web Services, Microsoft Cloud, and IBM Cloud. They had the expertise and developers that could jump in with Python and Java. Are there any areas they could improve? It’d be helpful if they had somebody local to us. However, the fact they weren't did not impact the project. The cost of travel increases the cost, but other than that, they did a fabulous job. Do you have any advice for potential customers? It’s important to have a very experienced project manager as that made a lot of difference. We engaged directly with the owner of the company and he was very interested because of the type of institution that we are. I’m not saying we wouldn’t have had the same success had he not been involved, but he was very experienced and knew the different types of technology. If you could engage him in any project, that will be helpful. --- #### Data Stack Dev for AI Platform **The Project** - Services: BI & Big Data Consulting & SI - Project size: $200,000 to $999,999 - Project length: Mar. - Sep. 2015 **Project Summary**: ThirdEye Data developed an AI platform, using Google Cloud and Microsoft data technologies. **Review Rating**: 4.5 - Quality: 5.0 - Schedule: 4.5 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Analytics Firm - Industry: Information technology - Client size: 201-500 Employees - Review Type: Phone Interview - Verified **The Review** — May 25, 2018 **Feedback Summary**: Implemented in several large companies, the finished platform always receives positive feedback for its design, technology, and architecture. The team performed excellently, managing the development smoothly, and demonstrating their ability to understand briefs and translate them into deliverables. ""They are on the cutting edge of technology." " **BACKGROUND** Introduce your business and what you do there. I'm the CEO of an AI and analytics products and services company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We were developing our AI platform and needed to figure out how to design and build the data stack for that. **SOLUTION** What was the scope of their involvement? They developed the platform from scratch. We worked on Google Cloud and used some Microsoft data technologies which they were very knowledgeable about. They were able to bring in help when it was needed. We were not only working with them, but receiving a lot of support from those partners as well. What is the team composition? There was a project manager, but I'm unsure of the size of the team on their end. How did you come to work with ThirdEye Data? We were referred to them. After speaking to them, we really liked that they were working on the cutting edge of all the technologies we wanted to look at. How much have you invested in them? We spent between $200,000–$300,000. What is the status of this engagement? We worked with them between March and September in 2015. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? The platform that they helped us build has now been implemented at a number of Fortune 2000 companies. As part of the implementation, we go through very thorough technology reviews with these companies and always hear very good things regarding the architecture, the technology, and the design. How did ThirdEye Data perform from a project management standpoint? They performed well—I haven’t heard any issues and no one has come back and complained about anything. We're on a Google platform and we used all the Google tools. What did you find most impressive about them? There were two things that distinguished them. Their founder was very good at understanding what we needed to do and then translating that, from a technology perspective, into what needed to get done. I found that to be outstanding and of the reasons we worked with them. I also liked their flexible working style as they fit into how we work. Are there any areas they could improve? They should be out there talking to people more. They do very good work, but they should be doing more of that. Do you have any advice for potential customers? They are on the cutting edge of technology. If you need a solution, particularly if you don't have any ideas, they're a fantastic partner to have. --- #### Analytical Solution Dev for Tech Enterprise **The Project** - Services: Custom Software Development - Project size: $50,000 to $199,999 - Project length: July - Dec. 2016 **Project Summary**: ThirdEye Data helped produce a customer-ready software product. Developers incorporated advanced tools for storage, security, mobile, cloud hosting, and an analytical R server within a complex solution. **Review Rating**: 4.5 - Quality: 4.5 - Schedule: 5.0 - Cost: 4.5 - Willing to Refer: 5.0 **The Reviewer** Sr. Category & Marketing Leader, Internet Firm - Industry: Other industries - Client size: 10,001+ Employees - Review Type: Phone Interview - Verified **The Review** — May 10, 2018 **Feedback Summary**: ThirdEye Data’s cutting-edge product teaches users how to migrate solutions to the cloud, implement devices, and use AI to ultimately create real data pipelines. The team’s expert development skills, extensive industry knowledge base, and diligent work ethic yielded a flawless end deliverable. "“ThirdEye Data’s high-level technical experience is a key differentiator from comparable agencies.” " **BACKGROUND** Introduce your business and what you do there. I work as a senior category manager at a software marketplace. We sell enterprise software as a part of a larger enterprise store or digital channel. My responsibilities include developing go-to markets for the top third-party products sold through our company. **OPPORTUNITY / CHALLENGE** What challenge were you trying to address with ThirdEye Data? We hired ThirdEye Data to develop our latest customer-ready solution. As part of the go-to-market process, we produce content for various stages of the customer journey. We wanted to build a solution that provides users with opportunities to gain experience implementing solutions via our marketplace. Our solution teaches clients in similar situations how to migrate to the cloud, implement devices, and use machine learning to create what we term a “real data pipeline.” **SOLUTION** What was the scope of their involvement? A critical part of our workflow involves combining multiple marketplace solutions. For our engagement with ThirdEye Data, we used a storage solution from SoftNet and a TIBCO Spotfire analytical R server. To locate movement between on-premises and cloud, the team used AppUnity. Our open-source product is MySQL, and data is warehoused in the cloud via Amazon Redshift. The team used a Kony mobile application development product and secured the entire solution with Trend Micro Deep Security. Rather than the programming languages in use, we focused on integrating multiple solutions and connecting the dots. Instead of using a single product for each discrete task, we used a combination of tools to build a real data pipeline. This task aimed to enable the organization to act upon external factors like public data sets, in this case. ThirdEye Data was also responsible for coordinating our combined solutions with different providers. What is the team composition? I’ve interacted directly with ThirdEye Data’s executive leadership. Early on in the cycle, a dedicated project manager became our main point of contact. They assigned us at least two developers and a documentation and manual writing specialist. How did you come to work with ThirdEye Data? I’d worked with ThirdEye data previously while I was with a different company. One of my employees there had found them during that time. Although I’d held a different position there, it had still been related to product management. For this project, we hoped to expand areas of our business that we’d already been working on. My background is focused on big data. When the time came to produce this new solution, ThirdEye immediately came to mind. I hired them to partner with my current company. How much have you invested with them? We’ve spent around $100,000–$200,000 on ThirdEye Data’s services. What is the status of this engagement? This project ran between July–December 2016. Building the entire solution took approximately 5-6 months. **RESULTS & FEEDBACK** What evidence can you share that demonstrates the impact of the engagement? We’re just starting the campaigns ThirdEye Data helped us build products for this month, so I don’t have metrics to share yet. Our internal company stakeholders have expressed interest in extending this solution to other categories. Users who have tried it so far are happy with how it works. The architects who’ve reviewed it affirmed that it provided many useful details and had been created at the right level. Essentially, our new product has become a call-to-action for a few of our campaigns at specific customer interaction stages. At this point, we’ve published the solution ThirdEye Data helped us build on our website and presented it at an annual conference. I tried to embed our new product into existing portals that promote comparable solutions, but it’s so sophisticated that those systems couldn’t accommodate it. Instead, I created independent placeholders that could adequately map to previous work we’d done. We’re currently planning additional delivery mechanisms. How did ThirdEye Data perform from a project management standpoint? I was impressed by how well the team communicated with us throughout our engagement. They offered a notable level of availability, as well. The team is very agile and rapidly formulated useful ideas. Whenever we made requests, they quickly internalized our feedback to provide the best workable solution. We’ve had a good experience working with ThirdEye Data. What did you find most impressive about them? ThirdEye Data has demonstrably learned a great deal throughout their tenure as a development agency. They’ve has aggregated a substantial knowledge base from their numerous past projects. I most appreciated their expertise pertinent to building real data pipelines and creating chatbots. They’ve deftly narrowed their focus to certain technology spaces. In line with my preferences, they’d already completed comparable projects, rather this being their first endeavor of its kind. ThirdEye Data’s high-level technical experience is a key differentiator from comparable agencies. Furthermore, this factor was also a critical reason I couldn’t have hired any other vendor. Had I done so, I would’ve had to validate that said team had successfully completed multiple client implementations. It was easy to affirm ThirdEye Data’s value proposition for our company in terms of solutions and documentation. Are there any areas they could improve? Since I had a very open dialogue with ThirdEye Data, I felt comfortable requesting a more complex technical writing approach. Their solution was fantastic and their documentation was thorough, but I had specific marketing goals in mind that required improved content. Per my recommendation, they hired external technical writers to revamp that material. This observation is most relevant for future clients who plan to use ThirdEye Data’s assets for technical marketing content. It may not be required for a standard technical implementation. --- #### API Development for Travel Planning Company **The Project** - Services: API Development, Cloud Consulting & SI - Project size: Confidential - Project length: Mar. - June 2024 **Project Summary**: ThirdEye Data provided development support for a travel planning company. The team assisted the client's engineering team in developing and integrating various travel-based APIs. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Co-Founder & CTO, Travel Planning Company - Industry: Hospitality & leisure - Client size: 1-10 Employees - Review Type: Online Review **The Review** — Apr 17, 2025 **Feedback Summary**: ThirdEye Data successfully built the client's MVP frontend and backend APIs and established a cloud deployment infrastructure. The team was well-planned, punctual, and professional. ThirdEye Data's responsiveness, customer satisfaction focus, and flexibility were commendable. ""They were understanding and flexible with our requirements."" **BACKGROUND** Please describe your company and position. I am the Co-Founder, CTO of a hospitality & leisure company Describe what your company does in a single sentence.AI agent for travel planning and booking. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?AI based Travel Planning Services **SOLUTION** How did you find ThirdEye Data?ReferralWhy did you select ThirdEye Data over others?High ratingsPricing fit our budgetGreat culture fitCompany values alignedHow many teammates from ThirdEye Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.ThirdEye assisted our engineering team in developing and integrating various travel-based API. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Developing the MVP FrontendBuilt backend APIsCloud deployment infrastructureDescribe their project management. Did they deliver items on time? How did they respond to your needs?ThirdEye was well planned, punctual, and executed with utmost professionalism.They responded to our needs in a reasonable time and provided good service.What was your primary form of communication with ThirdEye Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?They thrive on customer satisfaction.They were able to scale the size of the team based on our requirements.They were understanding and flexible with our requirements.Are there any areas for improvement or something ThirdEye Data could have done differently?None --- #### Custom Software Dev Services for Disinfection Devices Co **The Project** - Services: Custom Software Development - Project size: Confidential - Project length: May - July 2023 **Project Summary**: ThirdEye Data provided custom software development services for a disinfection devices company. The team was responsible for software testing and validation and managing the project. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 4.0 - Willing to Refer: 5.0 **The Reviewer** Founder & CEO, H7 Technologies - Industry: Other industries - Client size: 1-10 Employees - Review Type: Online Review - Verified **The Review** — Mar 11, 2024 **Feedback Summary**: ThirdEye Data successfully launched a fully operational software. The team demonstrated an impressive level of professionalism and accomplished the client's goals. ThirdEye Data provided a dedicated project manager who oversaw progress and ensured the team met the client's tight deadlines. ""I was impressed by ThirdEye Data's level of professionalism and how well their team worked together."" **BACKGROUND** Please describe your company and position.I am the Founder and CEO of H7 TechnologiesDescribe what your company does in a single sentence.Manufacturer of UV-C disinfection devices. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?Software developmentSoftware testingTight timeline **SOLUTION** How did you find ThirdEye Data?ReferralWhy did you select ThirdEye Data over others?Referred to meHow many teammates from ThirdEye Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Successful custom software development, junior tester to validate and test development, provided project manager to oversee progress and ensure deadline is met. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Met tight deadline with successful and fully operational software.Describe their project management. Did they deliver items on time? How did they respond to your needs?ThirdEye dedicated a project manager to oversee the progress of our software development on a daily, weekly and as needed basis. The project manager was extremely thorough, attentive and flexible.What was your primary form of communication with ThirdEye Data?Email or Messaging AppWhat did you find most impressive or unique about this company?I was impressed by ThirdEye Data's level of professionalism and how well their team worked together to accomplish our goals. Their communication and skills to execute tasks is impeccable.Are there any areas for improvement or something ThirdEye Data could have done differently?None. --- #### BI & Data Consulting for Life Coaching Business **The Project** - Services: BI & Big Data Consulting & SI - Project size: $50,000 to $199,999 - Project length: Jan. 2021 - Dec. 2022 **Project Summary**: ThirdEye Data created a data lake for a personal development and life coaching business. The data lake aggregated data from various systems; the team proposed strategies and a platform development plan. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** Director of Technology, Brave Thinking Institute - Industry: Other industries - Client size: 51-200 Employees - Review Type: Online Review - Verified **The Review** — Jun 14, 2023 **Feedback Summary**: The client was pleased with the results of the engagement; ThirdEye Data successfully created a new data ecosystem and updated the data extraction pipeline. Moreover, the team managed tasks efficiently, hitting milestones with ease. They communicated well via virtual meetings, emails, and messages. ""The people cared about the project as much as we did."" **BACKGROUND** Please describe your company and position.I am the Director of Technology of Brave Thinking InstituteDescribe what your company does in a single sentence.We a personal development and life coaching business. **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?Create a data lake that aggregates from various systems and applications **SOLUTION** How did you find ThirdEye Data?Online SearchWhy did you select ThirdEye Data over others?High ratingsGreat culture fitGood value for costCompany values alignedHow many teammates from ThirdEye Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Analyze the existing data landscapeUnderstand data sources available company-wide, their types and usagesAnalyze feasibility for a centralized Data Warehouse/Data LakeAnalyze feasibility for a centralized data visualizations and reporting structuresAnalyze feasibility to consolidate various processes and underlying applications, as best possibleAnalyze to extend the data platform enterprise-wide globallyUnderstand the uniqueness of the company in its business modelPropose strategies and data platform development plans **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?New data ecosystem and data extraction/update pipelineDescribe their project management. Did they deliver items on time? How did they respond to your needs?High communication, graphs and charts, detailed milestones. Yes.What was your primary form of communication with ThirdEye Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?The people cared about the project as much as we didAre there any areas for improvement or something ThirdEye Data could have done differently?N/A --- #### BI & Analytics for Asset Management Software Company **The Project** - Services: AI Development, BI & Big Data Consulting & SI, ERP Consulting and SI - Project size: $50,000 to $199,999 - Project length: Oct. 2021 - June 2022 **Project Summary**: ThirdEye Data aggregated and analyzed data and transferred them to AWS Quicksight using Glue jobs for an asset management software company. The team also recommended architecture for enhanced analytics. **Review Rating**: 5.0 - Quality: 5.0 - Schedule: 5.0 - Cost: 5.0 - Willing to Refer: 5.0 **The Reviewer** CEO, Ecotrak - Industry: Other industries - Client size: 11-50 Employees - Review Type: Online Review - Verified **The Review** — May 28, 2023 **Feedback Summary**: Thanks to ThirdEye Data, the client witnessed a significant increase in the quantity of data delivered to the BI Tool. The service provider went above and beyond to actualize the client's ambitions. Ultimately, the client was delighted with the partnership. ""They were a pleasure to work with."" **BACKGROUND** Please describe your company and position.I am the CEO of EcotrakDescribe what your company does in a single sentence.Facilities and Asset Management Software **OPPORTUNITY / CHALLENGE** What specific goals or objectives did you hire ThirdEye Data to accomplish?Aggregating and Analyzing Data using Glue Jobs **SOLUTION** How did you find ThirdEye Data?Online SearchWhy did you select ThirdEye Data over others?Great culture fitCompany values alignedHow many teammates from ThirdEye Data were assigned to this project?2-5 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.Vendor created several glue jobs to aggregate our data and send it to AWS Quicksight, our BI Reporting Tool. Vendor helped analyzing data and recommending architecture for enhanced analytics. **RESULTS & FEEDBACK** What were the measurable outcomes from the project that demonstrate progress or success?Quantity of data delivered to BI Tool.Describe their project management. Did they deliver items on time? How did they respond to your needs?They were a pleasure to work with.What was your primary form of communication with ThirdEye Data?Virtual MeetingEmail or Messaging AppWhat did you find most impressive or unique about this company?They understood our business needs really well and went above and beyond to deliver what we were looking for.Are there any areas for improvement or something ThirdEye Data could have done differently?N/A --- ## Portfolio & Awards ### Image Quality Detection Platform A] Build end-to-end platform that picks up third-party provided images of electric poles to detect the quality of the image for further downstream consumptions. B] Various AI models are applied to detect various aspects: Structure Detection Tags Deciphering Occlusion Blurriness Angle detection C] Once the quality of the images are determined to be adequate, channel these images for anomaly detection and other downstream analytics. D] Added functionality to detect & decipher tags on these electric poles E] Various AI models were developed to recognize the backgrounds of the tags and then decipher vertically written alphanumeric characters. F] Developed master pipeline that processes all images, branches to appropriate data pipelines based on the types of objects detected in the image invokes appropriate AI models on the image persists all outcomes into appropriate folders for validations by humans. ### Object Detections & Tags Deciphering from Images Build and launched into production an end-to-end platform that picks up third-party provided images of electric poles to detect the quality of the image and decipher tags on the poles for further downstream consumptions in analytical systems. Various AI models are applied to detect various image parameters like: Occlusion Blurriness Angle detection Tags Deciphering ### MLOps Engineering Over the years, the client has accumulated hundreds of ML models for various levels and types of predictions, object detections, tags identification. It is developing an exhaustive MLOps platform for streamlining all activities, for data scientists, data engineers, and business stakeholders. Data LakeHouse - Design, Architect, Creation Data Pipelines - Ingestion, Cleansing, Transformations, Correlations ML Flow - Model Development, Training, Deployment, Versioning ### AIOps - Anomaly Detection Platform Built from the ground-up an anomaly detection platform to detect & predict anomalies in various server-side metrics like CPU, memory usage, traffic in / out, etc. Completely open-source based, and runs on Spark Clusters. The platform has the following capabilities: Can detect anomalies on more than 10,000 metrics in the given datasets In-built Auto-AI functionality On detection, raise alerts in dashboards and send notifications. Ability to drill down to identify root causes ### AI-based Semantic Search Extended an existing keyword-based search engine of a legal website with AI & based Semantic Search engine. Leveraged NLP algorithms, performed Topic Modeling on legal documents hosted on the cloud and on-premise. Performed Summarization, Custom Entity Extraction, Key Phrases Extraction, Title Generation on a per-document basis. Enabled User Feedback loop with rating mechanism and Add/Delete functionality of Concepts. ### NLP based Search Engine Developed from scratch a search engine for real time and domain specific text search to find out relevant information about the threats / vulnerabilities affecting an enterprise. Used Natural Language Processing (NLP) - Topic modelling using LDA algorithm. Leveraged Solr as the main search engine for indexing the data. Used Python Flask as the MicroServices framework. All code was containerized using Dockers and deployed on the Kubernetes platform. ### AI-based Cyber Security Platform Built from scratch an AI-based Cyber Security Platform that: Performs real-time analytics using Artificial Intelligence technologies on petabytes of network data to continuously predict the next cyber threat. Provides a persona-based 360-degree view of the security aspects of the overall network. Delivers a Deep Learning based Analytical and Cognitive engine. ### Data Lakes Operationalization Migrate all data sets, including ones in Network Drives to the new Data Lake based on Azure Blob Storage. Migrate data from SQL Servers to the Data Lake. Cleanse, prepare, enrich and transform data as needed for downstream consumption. Implement data security structure and policies. Define & implement data governance policies. ### Predictive Metrology for Control Systems Developed an Open-Loop-System that aids operational personnel to control the glass coating process, improves the product quality, and reduces waste. The Open-Loop-System receives live data, computes the predicted end-of-line metrology values and corrective action suggestions for the process parameters in real-time, while panes are being coated. The predicted metrology values and parameter suggestions were made available in real-time on the shop floor in the form of a graphical user interface, with which the operational personnel interacts. ### AI-based Marketing Analytics Developed an end-to-end AI-based Marketing Analytics Platform that optimizes campaigns for converting users to paid subscription plans using AI and Machine Learning techniques. Developed hyper-targeted campaigns for individual users based on their profile that has been curated over time. Improvised AI and ML models by incorporating a complete feedback loop. ### Campaign Conversion Platform Developed end-to-end Campaign Conversion Platform that optimizes campaigns for converting users to paid subscription plans using Machine Learning techniques. Developed hyper targeted campaigns for individual users based on their profile that has been curated over time. Improvised ML models by incorporating a complete feedback loop. ### Price Optimization System Analyzed the enterprise datasets and external data sets that impacts pricing. Developing data pipelines for ingesting enterprise datasets and external data sets that impacts pricing. Developing Market Intelligence KPI Dashboard with deep analytical capabilities. Will develop Machine Learning models using Enterprise Data sets. Will Augment Enterprise Datasets based ML models with External Datasets. Will Operationalize Pricing Recommendation Models across the entire enterprise. ### Connected Retail Solution Developed an end-to-end analytical & predictive solution that enhances Customer Experience using Omni-Channel presence based on Microsoft Azure services. The solution connects the in-store and online experiences of the customers and highlights the difference between a Connected Consumer and a Traditional Shopper. Provides dynamic recommendations and a 360 degree cyclic data exchange. Zero touch purchasing experiences with secure transaction authorization using Face Recognition. ### Inventory Optimization System Setup data lake that ingests 200+ data sources with varied data sources types and formats. Setup data pipelines that ingests data in batch, real-time and incremental basis. Developing ML models to deliver inventory optimization strategies that will inherently help the company's bottom line. Will develop a Predictive Maintenance to be used by the Manufacturing Division Will develop a Sales Forecasting system that the sales and marketing team would be using. ### AI-generated House Floor Plans Developed end-to-end data system for automating the process of floor plans generation using AI. The system accomplished the following:- Recommend: based on user’s preferences, the system recommended appropriate floor plans- Customize: user’s had the ability to customize the floor plans as per their wishes- Generate: based on all user inputs the system generated floor plans. Leveraged Deep Learning techniques for floor plan generation. ### Crime Analytics & Predictions Developed the system to analyze & detect crime hotspots & predict crime using the following open data sets:- Open Crime Data - Census Data- Social Media Data (Facebook & Twitter) - Traffic Data (real-time & historical)- Weather data (real-time & historical) Leveraged various Azure services for backend processing & visualizations in PowerBI. ### Anomaly Detection in Electric Poles Electric poles carrying electricity for Energy Utility companies often develop snags that restrict the flow of electricity and causes wildfires resulting in losses for both the company and consumers. Developed a solution that would:- Identify various images in a picture, including electric poles- Detect anomalies in these electric poles and their sub-parts- Predict the probability of defective electric poles to further deterioration Images captured from drones flying over the electric poles were ingested into Azure blob for anomaly detection. The solution was used by Microsoft’s customers, partners and field sales personnel worldwide. ### Pill Detection from Images Developed end-to-end data pipelines for operationalizing AI Solutions. Leveraged ML to deliver maximum value to patients, ensuring that medications are given to the right patient, at the right time & at the right dose. Used Deep Learning techniques to accomplish the image recognition of medical pills through a Smart App. Used Sentiment Analysis for capturing patient’s experience, both online and using the connected devices. Ingested real-time and batch data into a HIPAA compliant data lake. Analyzed all data using D3.JS based analytical dashboards. ### Predictive Analytics Solution Developed Amazon AWS's first solution on the AWS Marketplace. The solution showcased: Integration with multiple services (both native and third-party ones) as available on the AWS marketplace. Used machine learning models for predictive analysis. Created analytical and predictive dashboards for visualizations. Developed a mobile app to get notifications based on predictive analysis. Customers deployed the solution with a single click and had it up and running within minutes. ### Predictive Maintenance Platform Extended client’s current Predictive Analytics Platform to predict in real time using 10x additional data points. Ingested 10x additional sensor data points into the system. Increased rate of data ingestion by more than 50%. Achieved near real-time data analytics capability. Improved analytical queries response times ability by more than 900%. ### Knowledge Management System Developed an AI based knowledge management system that enables its users to identify relevant Subject Matter Experts (SME) on various topics of current interest by asking simple questions and getting detailed responses with a listing of ranked SMEs. Developed deep JSON based profiles for every employee. All interactions were through a Chatbot interface. Users gave English language queries seeking for SMEs on various topics. ### Multi-Agent Investment Research Tool A leading private equity (PE) funding firm partnered with ThirdEye Data to organize its investment research process. Focused on identifying growth-stage IT companies, the firm sought to overcome the inefficiencies of manual research workflows that limited its ability to scale. Traditionally, every investment analysis required 8–12 hours of manual evaluation per company, making it impossible to assess hundreds of potential opportunities effectively. ThirdEye Data designed and implemented a Multi-Agent Investment Research Tool, a Copilot-based assistant that automates the end-to-end process of investment discovery, data collection, analysis, and reporting. By combining Microsoft’s Power Platform, Azure AI, and multi-agent orchestration, the solution enables the firm to evaluate hundreds of companies in parallel, achieving deeper insights at a fraction of the time and cost. THE CUSTOMER The customer is a leading growth-focused private equity firm in India, managing assets across multiple sectors and supporting mid-sized, high-potential companies that align with India’s growth story. The firm’s investment philosophy revolves around scalability, operational excellence, and early identification of promising businesses. THE SOLUTION ThirdEye Data built a Multi-Agent Investment Research Tool powered by Microsoft Copilot Studio and Azure OpenAI. The system enables users to conduct conversational investment research through natural language queries, orchestrating multiple AI agents to discover, parse, analyze, and rank companies in real time. The Copilot interface acts as a “research orchestrator”, interpreting investor intent, triggering automated workflows via Power Automate, and returning structured, ranked insights from Dataverse and Power BI dashboards. This system dramatically reduces analyst workload and improves the precision and speed of research-based decisions. ### Agentic AI Solution for Customer Loyalty Program A leading privately held loyalty marketing provider, partnered with ThirdEye Data to reimagine how they deliver end-to-end loyalty strategy and technology for some of the world’s most recognized brands. To stay ahead in an increasingly competitive market, the customer aimed to harness the power of Agentic AI—leveraging conversational, workflow-driven AI agents to enhance customer experience, boost internal productivity, and scale loyalty operations. With ThirdEye Data’s expertise, the customer is building a multi-agent AI ecosystem that brings personalized, dynamic engagement to millions of loyalty members while driving operational excellence for its internal teams and partners. THE CUSTOMER The customer is a global leader in the loyalty marketing industry, helping brands design, implement, and manage complex loyalty programs across diverse industries, including retail, travel, and financial services. With millions of active loyalty members worldwide, the customer’s mission is to enable deeper customer connections through innovative strategies and cutting-edge technology. THE SOLUTION To address customer’s vision of a next-generation loyalty platform, ThirdEye Data is developing and deploying a Conversational Agentic AI Platform that combines client-facing and internal-facing agents. This multi-agent system uses advanced Large Language Models (LLMs) and workflow automation to deliver dynamic, personalized interactions while orchestrating complex loyalty operations behind the scenes. Customers benefit from semi-scripted, LLM-enhanced bots that provide tailored recommendations, answer queries, and guide them through loyalty journeys. Simultaneously, internal agents support program management, fraud detection, vendor coordination, and member record reconciliation. The solution includes advanced audience simulation and segmentation, interactive visual insights, and a user-friendly interface for both customers and administrators. ### AI-Based Product Counting Solution for FMCG A major FMCG enterprise engaged with ThirdEye Data to resolve recurring losses during product dispatches. Relying heavily on third-party logistics for delivery operations across vast geographies, the company faced significant discrepancies between dispatched and received product quantities; leading to operational inefficiencies and financial losses. To solve this, ThirdEye developed a scalable AI-powered product counting solution using computer vision technology to detect and count SKUs from images and videos captured during loading and unloading. The system, now in its Proof of Concept (PoC) phase, brings new levels of accuracy, transparency, and automation to the company’s logistics processes. THE CUSTOMER A global leader in the fast-moving consumer goods (FMCG) sector, operating across more than 150 countries. The company partners with numerous third-party logistics (3PL) providers to manage dispatch and delivery across its extensive supply chain network, ensuring high product availability in dynamic retail environments. THE SOLUTION To address the ongoing challenges of dispatch discrepancies and lack of visibility, an AI-powered product counting solution was developed and deployed as a mobile-first Proof of Concept (PoC). This computer vision–driven system allows users to capture or upload images and videos during product loading and unloading. Using deep learning models trained on the company’s diverse SKU set, the solution automatically detects and counts products in real time. A built-in quality check ensures visual inputs meet clarity and visibility standards before processing. The solution provides an intuitive interface, seamless backend processing, and a centralized analytics dashboard, enabling greater transparency, accountability, and operational efficiency. Designed to be scalable and adaptable, it lays the foundation for deployment across multiple logistics partners and geographies. ### Clutch Awards - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_machine_learning_company_san_jose_2026.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_artificial_intelligence_company_minority_owned_2026.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_bi__big_data_company_san_jose_2026.svg) ### Industry Recognitions - America’s Most Reliable Companies 2026 - Most Promising AI Companies 2022 - Top AI Companies - Mobile App Daily - Silicon India - 50 Most Admired Companies to Watch 2022 - Top Big Data Companies USA 2020 - Data Wider - The Champions - Software Suggest - Fall 2020 - Top 15 AI Product Development Companies in USA - Top 10 OpenAI Development Companies to Work With - Top 9 AI Consulting Companies in USA - Top 10 AI Consulting Companies in 2025 - Top 13 AI consulting firms in 2025 - Top 10 AI Software Development Companies 2025 - Best AI Development Companies in the US, Nov 2025 - Top AI Development Companies - Top 10 Companies for Enterprise AI Dev 2025 - Top 10+ AI App Development Companies in 2026 List - Top 10 AI Consulting Companies – November 2025 - Partner With Top AI Development Companies in 2025 - 12 Best Full-Stack AI Development Companies 2025 - 8 Top AI Agent Development Companies - Top 27 Generative AI Development Companies 2025 - Top 12 AI Consulting Companies in USA (2025) - Top AI Development Company (2025 UPDATED) - Top 10 AI Development Companies in 2025 - Top AI Software Development Companies of 2025 - Top 10+ AI Development Companies in Highland Mills - Top 20 AI Software Development Companies - 10 Top Generative AI Development Companies - Top 10 AI Development Companies in USA for 2025 - Top 10 AI Development Companies in 2025 - Top Custom AI Software Development Companies - Top 10 AI Development Companies in 2025 ## Key Clients - Microsoft ## Packages ## Verification Verified means Clutch independently confirmed ThirdEye Data is a legally registered business, financially sound (Creditsafe: Low Risk), and backed by 21 verified client reviews averaging 4.6 stars. - Verified Client Reviews: 21 - Overall Review Rating: 4.6 Last Updated: 2026-08-15T02:48:49Z ### Business Entity - Business Entity Name: Third Eye Consulting Services & Solutions LLC - Source: California Secretary of State - Jurisdiction of Formation: California - Date of Formation: January 8, 2009 - Status: Active - Last Updated: September 10, 2024 - ID: 200902410476 ### Credit Report Results - International Credit Risk Assessment: Low Risk - Source: Creditsafe - Last Updated: December 12, 2024 ## Locations (4) ### San Jose, CA (Headquarters) - 333 West San Carlos Street, Suite 600 - San Jose, CA 95110 - United States - 10 - 15 employees - Phone: +14084625257 ### Kolkata, India - PS Srijan Corporate Park, Tower 1, 11th floor, Unit No 1102, Block GP, Sector V - Kolkata 700091 - India - 50 - 75 employees ### Montréal, Canada - 1801 Avenue McGill College - Montréal, QC H3A 1Z4 - Canada - 10 - 15 employees ### Hubballi, India - Deshpande Foundations Gokul Rd, next to International Airport, opposite Gokul Village, - Hubballi 580030 - India - 10 - 15 employees ## Connections - Dj Das (ThirdEye's Data Engineering Services) ## Contact ThirdEye Data [Send a message](https://clutch.co/profile/thirdeye-data) ### Connect on Social - [LinkedIn](https://www.linkedin.com/company/ThirdEyeData) - [Facebook](https://www.facebook.com/thirdeyedata/) - [X](https://twitter.com/thirdeye_data)