DataRoot Labs

BACKGROUND

Please describe your company and position.

I am an executive at an information technology company

Describe what your company does in a single sentence.

Our startup is a social audio marketplace that allows you to meet and connect with like-minded people.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• Initially, DataRoot Labs was hired to build out AI-powered audio content recommendation algorithms based on user data and behavior.
• Eventually, they covered some data engineering and all AI tasks related to the core product of the company.

SOLUTION

How did you find DataRoot Labs?

• Online Search
• Other

Why did you select DataRoot Labs over others?

• Great culture fit
• good reviews from a trusted source.

How many teammates from DataRoot Labs were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The team at DataRoot Labs was tasked with creating a sophisticated audio content recommendation engine that takes into account many parameters and involves substances expertise in Artificial Intelligence. They successfully delivered a working complex recommendation engine that provided valid recommendations on the content tabs within the application. 

Over time, they meticulously worked on improving the existing recommendation algorithms and adding new features. In addition, they helped us handle such tasks as developing charts and dashboards as well as ML admin tools.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project went live with DataRoot Lab’s recommendation engine at the core of the product. Since launch, the team helped us iterate on the product including actively participating in the release of several upgraded versions of the app which took into consideration user feedback. Currently, the app is live and enjoyed by tens of thousands of users with algorithms that are working as needed and constantly improving.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

DataRoot Labs is a relatively small team, easy to get in touch and communicate with. Yet they have solid processes in place when it comes to abiding by deadlines and delivering on the scope. We could always reach their C-level with a single email and were always able to get flexible terms and special requests when needed. They helped us save time by avoiding unnecessary bureaucracy.

What was your primary form of communication with DataRoot Labs?

• Virtual Meeting

What did you find most impressive or unique about this company?

The team has been our development partner for over 2 years. They have proven to be a reliable ally that not only demonstrates on-point AI expertise but also delivers on time and on budget. They are easy to work and communicate with. I would highly recommend them to any founder of any AI startup looking for a reliable tech partner.

Are there any areas for improvement or something DataRoot Labs could have done differently?

Not really. They are great.

BACKGROUND

Please describe your company and position.

I am the Chief Executive Officer of Django Stars

Describe what your company does in a single sentence.

Django Stars is a software solutions provider that drives our partners from product strategy and ideation to scaling.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• We have been working with DataRoot Labs on a continuous basis for the past 5 years. While Django Stars focuses on a full cycle software development, DataRoot Labs are pros at Artificial Intelligence and Machine Learning. When our clients need that expertise, we often refer DataRoot Labs as our AI partner or deliver projects jointly where each of us focuses on our own set of deliverables.

SOLUTION

How did you find DataRoot Labs?

Referral

Why did you select DataRoot Labs over others?

• High ratings
• Good value for cost
• Referred to me
• Company values aligned

How many teammates from DataRoot Labs were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

When it comes to a specific project, recently we have jointly worked with the DataRoot Labs team on a project for the logistics industry. The project was massive in scale. Django Stars took care of all the back-end, DevOps, and front-end development. Since the project demanded an AI component that would optimize the routing of drivers, we included DataRoot Labs.

They have delivered a working AI model that allowed drivers to efficiently deliver loads based on numerous factors such as regulatory restrictions, distance, and load size among many other parameters.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

No matter the project, DRL demonstrated a deep understanding of AI technologies and their practical applications, and they were able to offer technical and business insights and recommendations that helped the client to optimize their solution. 

On the logistics project I mentioned, they delivered a working MVP that successfully optimized driver’s route based on at least 30 parameters. As result, the client had a working demo and was able to raise capital. Both of us are still working on this project on a continuous basis.

What was your primary form of communication with DataRoot Labs?

• In-Person Meeting
• Virtual Meeting

Describe their project management. Did they deliver items on time? How did they respond to your needs?

DataRoot Labs team is always highly collaborative, working closely with our team to ensure that we were aligned on project goals, timelines, and deliverables. They are available to answer questions and provide guidance, and they are proactive in identifying and addressing potential issues before they became problems.

What did you find most impressive or unique about this company?

Their level of AI expertise is incredible. I don’t think we could find anyone so deeply emerged in AI space with experience across various AI technologies (ML, NLP, Computer Vision, etc.), frameworks and industries. 

Overall, I would highly recommend DRL team to anyone looking for a technical partner with expertise in AI technologies. Their dedication to quality and their ability to work seamlessly with our team made them an invaluable asset to many joint projects, and hopefully, more to follow.

Are there any areas for improvement or something DataRoot Labs could have done differently?

Great team with solid AI expertise.

BACKGROUND

Please describe your company and position.

I am the Co-founder & CEO of Trueflutter

Describe what your company does in a single sentence.

Trueflutter is the premier dating app for Africa's middle and upper-middle-class professionals, creatives, and entrepreneurs, offering a genuine platform for meaningful connections and committed relationships.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• Create a new matching algorithm driven by machine learning

SOLUTION

How did you find DataRoot Labs?

Clutch Site

Why did you select DataRoot Labs over others?

• High ratings
• Pricing fit our budget
• Great culture fit

What was the size of DataRoot Labs’s team?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

We hired Data Root Labs to build a sophisticated machine learning-driven module for our algorithm, meticulously crafted to cater to the distinct requirements of the diverse African market.

Taking into account the wide spectrum of cultural and socio-economic backgrounds, our goal was to develop an adaptable algorithm that generates highly compatible match recommendations. This solution was to be implemented as a microservice, ensuring a scalable and efficient architecture to support its advanced machine learning capabilities.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• We A/B tested the new algorithm against the previous one and it outperformed it clearly and has continued to improve every day. Our rate of matches as well as ratings on the appstore have improved significantly

Describe their project management. Did they deliver items on time? How did they respond to your needs?

We were blown away by the level of efficiency and transparency with which they managed the project, detailing all the tasks in Jira as well as sending a summary email ahead of each sprint, while taking the time to break down the details in our sync meetings. Our CTO said they are probably the most professional outsourced development team he has worked with

What was your primary form of communication with DataRoot Labs?

Virtual Meeting

What did you find most impressive or unique about this company?

The level of knowledge they have about machine learning and artificial intelligence is incredible. The great thing is how they understand our goals and translate that into features and code that help us achieve those outcomes.

Are there any areas for improvement or something DataRoot Labs could have done differently?

None that I can think of; they were an amazing team to work with

BACKGROUND

Please describe your company and your position there.

Founder of a small smart-up software company developing an ML-based plugin for consumer email.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs, and what were your goals?

We had collected a lot of data, but frankly I was not sure whether anybody would be able to make a machine learning model effectively out of it. I interviewed a few different ML-specialized development firms and provided a sample of the data. My goal was to receive an accurate classification model based on the proprietary data I had collected.

SOLUTION

How did you select this vendor and what were the deciding factors?

The factors were

1. specialization in ML, as opposed to other firms that claimed to be able to develop a solution in ML but did not specialize in it
2. a further sub-specialization in NLP
3. a random personal connection to the COO (we had an acquaintance in common)
4. strong interactive demo that was presented to me as part of the proposal.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

1. Development of automated data cleaning scripts
2. Experimentation of various NLP models to find the most accurate ones using Python.
3. Once a model was selected, tweaking of parameters to make the model as accurate as possible.
4. Development of a classification API using the final model. (Node / JS / TS)
5. Transfer of the API, Training scripts, and documentation to our Github / cloud services environment (GCP / Kubernetes / CircleCI).

How many people from the vendor's team worked with you, and what were their positions?

I think three. One was the 'lead' who developed the model. Another was the data engineer who developed the pipeline. A third helped out on devops to transfer the model over to our repo.

RESULTS & FEEDBACK

Can you share any measurable outcomes of the project or general feedback about the deliverables?

DRL achieved beyond what they had promised, delivering a model that was above 95% accurate according to the data I provided. Their delivery of the API allowed us to implement the model they created within days, which made for a very clean handoff. They provided analysis of the categories which had been provided and included documentation for training the model in the future with different data. All in all, they understood the task very quickly with very little explanation, delivered exactly what was asked efficiently and professionally.

Describe their project management style, including communication tools and timeliness.

We created a joint slack room to share updates and questions. They were quite responsive and were timely and always willing to get on a zoom call.

What did you find most impressive or unique about this company?

They understood the goal of my project quickly and we were on the same page from the beginning.

Are there any areas for improvement or something they could have done differently?

Not really.

BACKGROUND

Please describe your company and your position there.

I am one of the co-founders and CEO of SavStart. SavStart is an Artificial Intelligence powered platform that collects, analyses and contextualizes data that encompasses all things business. It’s a comprehensive tool allowing individuals to work on their amazing ideas with a competitive edge. 

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs?

Our team comes from a background of business, technology and design. We came up with the idea to build this platform to help other business hopefuls. In the beginning, it was like trying to figure out how to build a time machine, it almost felt like mission impossible. Ivan and his team at DRL helped us turn our "time machine" into a reality.

They understood exactly what we were after and within a matter of weeks, they added all the parts needed to make our idea a reality.

What were your goals for this project?

We needed confirmation that our idea was something that could actually be built into a real working platform. The DRL team not only understood the technology needed to make the idea a reality, but they took the initiative to fully understand all aspects of our idea and the future goals we have.

SOLUTION

How did you select DataRoot Labs?

Our research for the perfect team to help us develop our platform took us out of the UK. We searched for companies all across the world and after narrowing down to 5 which we went and met personally, we knew instantly that DRL and Ivan their CTO was the team we would want to work with.

They immediately had the best understanding and a portfolio of work to prove they knew what they're talking about, especially when it came to artificial intelligence.

Describe the project in detail.

After the initial face to face meeting, we had additional online meetings with Ivan. We also got introduced to more of the DataRoot Labs team. From the first discussion to getting a breakdown of what technology we would need, along with pricing and recommendations, the process took no more than 3 weeks.

From that point onwards the DRL team has kept in touch with us on a regular basis and responded to our questions with prompt Skype calls. Even though we’re teams that are thousands of miles apart, the communication has felt like we are working very close.

What was the team composition?

We met Ivan and he has stayed in touch with us from day one and continues to always be there to assist us. He has clearly listed the team assigned to our project and introduced us to other parts of the business that can help us with raising capital to further our project.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

Our platform is still in the early days, but we have a very clear path on how to get to our final product. Knowing we have DRL working with us, we are confident we will deliver a platform that is high quality and provides value to our users. Our project already has potentials to grow and there’s no doubt the DRL team will be by our side for the whole journey.

How effective was the workflow between your team and theirs?

So far, we’ve been impressed with the fast responses, knowledge, proven experience and patience from the DRL team. They keep in touch with us regularly and are eager to help us figure out any hurdles we come across.

What did you find most impressive about this company?

Their knowledge in the technology field and speed of work on existing projects is what had us in awe. After our first meeting, we felt like coming up with more ideas to work on with DRL. We look forward to sharing more AI based ideas with Ivan and his team once we’ve past some of our major milestones for the SavStart project.

Are there any areas for improvement?

Please open an office in London, it’d be a joy to work even closer. Even though you do a superb job remotely.

BACKGROUND

Please describe your company and your position there.

I'm the CEO of Arcane Future. The company provides advanced analytical services for sites and applications. We help medium and small businesses build own analytical infrastructure and get insights from the data.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs?

Our client in a medical tourism industry requested the dashboards system to make the sales and marketing processes clear, predictable and efficient. Dashboards work faster when they connected to single datasource, so it was necessary to develop the data warehouse to collect data from CRM, CMS and Google Analytics systems.

What were your goals for this project?

Create the data warehouse on Amazon Redshift and together with the client's development team configure tracking from CRM, CMS to the DWH.

SOLUTION

How did you select DataRoot Labs?

The project had time limits and we were looking for a company with the necessary expertise. Since I know that DataRoot Labs had already made similar projects we contacted and together developed a plan how make the DWH solution.

Describe the project in detail.

Once we started to work on this project we had 2 meetings with our client, his CTO and CBDM. On meetings we collected the requirements for the dashboards system and current product infrastructure. After this we together with DataRoot Labs made architecture of the DWH, and prepared technical tasks for the client's development team.

After tracking and DWH implementation DataRoot Labs tested the system and transfer to us all credentials and DWH documentation.

What was the team composition?

The team consisted of 2 data engineers and 1 project manager.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

The speed of data loading from Redshift database was 2x-3x times faster compared to MySQL database.

How effective was the workflow between your team and theirs?

We communicated via Slack, they always respond in time. The workflow was managed via Jira board, to which we had access. We split the project on 1 week sprints and had a retrospective meeting every Friday.

What did you find most impressive about this company?

Due to their broad expertise in database architecture we made data warehouse which is convenient to use for an analytical work.

Are there any areas for improvement?

Overall we were satisfied with DataRoot Labs work.

BACKGROUND

Introduce your business and what you do there.

I’m the co-founder and COO of a startup organization. We work to improve clinical care for heart failure patients.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot Labs?

We needed to develop a prediction algorithm.

SOLUTION

What was the scope of their involvement?

DataRoots worked on one of our machine learning algorithms, which was a prediction algorithm. They used synthetic patient data and managed the machine learning process with that data to deliver an algorithm that would predict the timing of an adverse event. We had an API that made the algorithm usable as part of our technology stack.

They had a framework for machine learning projects, and we went through the entire process with them. Their team used a deep learning algorithm and TensorBoard as part of the testing and training components.

We finished the first algorithm. However, we need to build several algorithms. We similarly need a dataset to develop the next one. We’re now in discussions about what that dataset will look like.

What is the team composition?

Our main technical contact was Ivan (CTO) who was primarily involved in this project. He had a team member who supported him and joined our discussions too.

How did you come to work with DataRoot Labs?

We started our search with Clutch and considered a number of organizations based on reviews and recommendations from our network. My co-founder and I conducted interviews and evaluated several different companies. We narrowed our choices to DataRoot feeling that they would be the best fit for this type of project.

How much have you invested with them?

This project cost between $10,000–$15,000.

What is the status of this engagement?

We actually started this project around January 2020, and our partnership’s ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement? 

This was our first machine learning project with any organization. One of our goals was to learn the entire process. We had expertise from reading articles but not from actually working through the entire process. We learned a lot, as did DataRoot.

We got a high level of accuracy from the prediction algorithm. The accuracy of the algorithm was what we expected — 90% plus. From that perspective, it was a success. That part’s still a little unknown because that was all with synthetic data. We haven’t run the algorithm on real data, which we’ll explore with DataRoot.

How did DataRoot Labs perform from a project management standpoint?

It was a small project, and we primarily worked with one technical person. It wasn’t complex from a project management perspective.

This project ran during COVID-19, so we had to both adapt to what that meant for our organizations. The challenges that we experienced related to the pandemic. Communication around that adjustment could’ve been better. At times, it seemed that their team was slow to respond.

What did you find most impressive about them?

Their technical skillset around AI and machine learning most impressed us. They had deep expertise, which made us feel comfortable. Their team was up to date on the latest algorithms and able to guide us. They also spent a lot of time teaching and rationalizing their decisions for us.

Are there any areas they could improve?

It was a small project, so it didn’t have much of a process around it. However, it would’ve been helpful if we had a better understanding of the project’s timeline and process.

Do you have any advice for potential customers?

Go into the project with an open mind, especially if this is your first time working on an AI or machine learning project. There’s a lot to be learned. Make sure to come to the project with a good data set that you can explain. Short of that, it’s hard to get off the starting block.

BACKGROUND

Please describe your company and your position there.

I investigated several ideas of mine regarding augmented reality. Then I organised the project team and was investor/co-founder.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs?

I was in dire need of engineers who has machine learning skills (with computer vision experience). DataRoot Labs consulted me regarding technologies, provided staff with the necessary skills for this project and made technical leading of that engineers.

What were your goals for this project?

I wanted to have working prototype of the AI model. It is part of the interface based on augmented reality. It was important to use technologies that will work in a regular mobile browser.

SOLUTION

How did you select DataRoot Labs?

I met the CEO of DataRoot Labs through a mutual friend. I know some other companies, but DataRoot Labs were more attractive to me regarding some points: we located in same city, speak same language and (the most important thing) they had much more experience of computer vision technologies than any other companies which I known.

Describe the project in detail.

I explained my idea (control of the game interface via the camera) to CTO of DataRoot Labs. We discussed about technologies, hardware, RND plan and other needs to develop what I wanted. We agreed to provide me engineers by outstaff model to develop working prototype.

What was the team composition?

There was two middle level engineers from DataRoot Labs, project manager from my team and me.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

The first demo was appeared in first two weeks. And after 2 month team give working prototype. And then they worked on improvements. This prototype we used to test the concept/idea with focus group.

As a result received important information for making decisions about building the product base on that concept. In addition to this project, many other ideas about augmented reality were discussed and received several professional consultations

How effective was the workflow between your team and theirs?

The workflow was best as much as possible because all team could sit at one place, communicate easy, to see together on device each version. It's important because the tasks cause a lot of interactions with real testing device and real objects near device.

What did you find most impressive about this company?

Except the professionalism, easy going communication and pleasant staff, I was surprised regarding level of projects which this company did.

When you understand that the future is already here, because guys from DataRoot are already solve projects and tasks with machine learning that you could only dream about before.

Are there any areas for improvement?

I have no idea

BACKGROUND

Please describe your company and your position there.

I’m the founder and CEO of a consumer-facing business in the automotive aftermarket.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire data root labs?

We lacked internal data science. We wanted machine learning capabilities to develop the AI piece of the platform that would have a neural network predicting the probability of a given car failing.

What were your goals for this project?

We wanted the model built with a minimum of 0.85 accuracy and a ready API to connect with the rest of the platform.

SOLUTION

How did you select this vendor?

I spoke with a few vendors based on their Clutch reviews. I picked data root labs for their deep understanding of the automotive field and data science, as well as their value proposition.

Describe the project and the services they provided in detail.

The aim of our project is to provide a service that predicts the probability of car a failing in the next 12 months based on the car’s previous history. They developed a machine learning AI model for our solution. Capabilities included normalizing data from millions of records and identifying and engineering the best variables for inference. They developed, tested, and refined an algorithm.

What was the team composition?

We worked with an architect and a data scientist. I communicated for the most part with Ivan (CTO and Co-Founder, data root labs), who was always ready to hop on the call and explain where we were at, what was done, and what was happening next.

RESULTS & FEEDBACK

Can you share any information that demonstrates the impact that this project has had on your business?

The model delivered by the team works fine and is well-integrated into our overall solution.

How was project management arranged and how effective was it?

They usually responded within a few hours of my emails and were proactive in addressing upcoming issues. Both of my contacts had an excellent understanding of what needed to be done. They communicated well and each had a commendable work ethic.

What did you find most impressive about this company?

For one thing, they exceeded my expectations by delivering the model with higher accuracy levels. Ivan’s data science team is particularly impressive. It is rare to find data scientists who understand the AI and machine learning field well, are able to articulate the concepts simply and are commercially aware enough to apply them successfully. I was impressed with their organization, their speed of communication, and their proactiveness.

Are there any areas for improvement?

No, I’m completely satisfied.

BACKGROUND

Introduce your business and what you do there.

I’m the CTO of the Ukrainian office of Dentsu Aegis Network. It’s a large multinational communications company that services about 400 companies and clients.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot Labs?

We wanted a platform that could collect specific data from a variety of advertising sources. Then we wanted to implement AI technology that uses the aggregated data to evaluate performance, make future predictions, and generate reports for clients.

SOLUTION

What was the scope of their involvement?

Over a 12-month period, DataRoot Labs developed an MVP version of the solution from the ground up. We’re currently working on future iterations. They set up our system on a computer cluster of various Kubernetes, PostgreSQL, and Redis databases. In its current state, the platform collects statistical data from sources like Facebook Ads and Google Ads, processes it, and generates reports with predictions regarding future performance, which helps our marketing team create better digital ads for our clients.

What is the team composition?

Max (Co-founder and CEO, DataRoot Labs) is our main point of contact, but we also work with a project manager. They assigned a core team of four resources that includes a solution architect, a UX/UI designer, and two data scientists. In the later stages of the initial build, another project manager joined the team. Now that we're working on future iterations, there’s also a frontend developer, backend developer, and a QA engineer.

How did you come to work with DataRoot Labs?

I asked my colleagues in the industry, and one of them recommended DataRoot Labs and spoke highly of their extensive expertise in the AI field.

How much have you invested with them?

So far, we’ve spent $70,000­–$80,000.

What is the status of this engagement?

We started working with them in October 2017, and the project is ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

I don’t have any concrete metrics that speak to their work, but our users have provided largely positive feedback. Based on our experience, I highly recommend the DataRoot Labs team.

How did DataRoot Labs perform from a project management standpoint?

We haven’t had any issues with their project management skills. We communicate via several channels—mainly Slack, Skype, and email. Our primary business communication tool is Microsoft Teams. Also, we schedule a weekly call to share updates and discuss our progress.

What did you find most impressive about them?

I really appreciate their prompt response time and their technical expertise.

Are there any areas they could improve?

At this point, we haven’t had any issues.