Transforming Enterprises with AI Applications.
ThirdEye Data leverages Artificial Intelligence & Big 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
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 Analytics
ThirdEye’s Data Analytics services help businesses increase revenues, improve operational efficiencies, respond quickly to emerging market trends and gain a competitive edge.
Data Engineering
ThirdEye’s Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.

headquarters
other locations
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8th Floor, Victoria Park, Plot 37/2, Block GN, Sector-V, Saltlake City,Kolkata, WB 700091India
Focus
Portfolio
Customers are from Fortune 100 companies to a host of SMBs and startups worldwide. Walmart, Microsoft, Xperi, Southern California Edison, Amazon, Amgen, Nokia, Symantec, Ford Direct, NimbleStorage, GettyImages, Merlin International, Centerity, Inter-American Development Bank, Chegg, AbsolutData, FreedomPop among others.

AIOps - Anomaly Detection Platform
- Built 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

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
Reviews
the project
Custom Software Dev for Cyber Security Firm
“ThirdEye Data was always willing to go above and beyond the initial ask.”
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
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.
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.
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.
the project
Mobile App Development for Software Development Company
"Their capability to deliver was second to none."
the reviewer
the review
The client submitted this review online.
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.
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.
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.
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.
the project
AI Platform Dev for Monitoring Solutions Software Company
"I never got what I paid for."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m the CEO of a software company for monitoring solutions.
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.
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.
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.
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.
the project
Voice Audio Data Collection for AR Project
“They were always willing to adapt strategy and the contract to make sure we were happy at the end of the day.”
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
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.
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.
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.
the project
Analysis Reporting for Business Coaching Service Provider
"Their work made team members more aware of the importance of data and how it can make a difference for our company."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
What challenge were you trying to address with ThirdEye Data?
We wanted to create analysis reporting for our company.
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.
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.
the project
Data Development & Management for Private Supply Company
“They were aligned with the objectives of our company.”
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
What challenge were you trying to address with ThirdEye Data?
We needed help with data development and management for our company.
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.
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.
the project
Data Lake Configuration for Media Company
ThirdEye Data was able to get inside our tech environment and set up the data lake fairly quickly.”
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m the manager of enterprise data services for a media company.
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.
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.
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.
the project
Implementation Partnership with Tech Enterprise
"The team works hard and delivers."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m a data science thought leader at a technology enterprise.
What challenge were you trying to address with ThirdEye Data?
We needed guidance for the implementation of our project.
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.
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.
the project
Machine Learning Development for Medical Technology
"Furthermore, the quality of their work was terrific."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
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.
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.
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.
the project
Scheduling Tool Dev for Defense Contractor
"They were engaged in working with us to find a solution, and I was impressed by the quality of their deliverables."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
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.
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.
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.
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.
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.