AI Solutions for Startups and Enterprises

Bronze
VERIFIED

DataRoot Labs - a team of AI experts and the fastest growing AI company in Ukraine. With offices in Kyiv and Tel-Aviv, we build and implement AI-powered systems across different verticals to help our clients operate effectively.

Our core products include: 

  • AI solutions development for startups. 
  • AI transformation for enterprises.
  • Startup venture services. 

We work with a large number of startups and startup accelerators by fully or partially closing clients AI development needs.

We ❤ to contribute to the development of the ecosystem by running DataRoot University, the largest data science and data engineering school in Ukraine.

Let's bring AI to your story ⚡️

 
$5,000+
 
$25 - $49 / hr
 
10 - 49
 Founded
2016
Show all +
Kiev, Ukraine
headquarters
other locations
  • 11845 W Olympic Blvd Suite 1100
    Los Angeles, CA 90064
    United States
  • HaBarzel
    Tel Aviv-Yafo 6971040
    Israel

Portfolio

Key clients: 

Key clients:  Servers.com, EVERScan, Everad, ABM Cloud, databand.ai, Cargofy, Buff.game, IRONX, Bookimed, Stacktome, deckrobot.ai

AI-Powered Apps Development

data root labs - a team of AI experts and the fastest growing AI company in Ukraine. With offices in Kyiv and Tel-Aviv, we build and implement AI-powered systems across different verticals to help our clients operate effectively.

Our core products include: 

  • AI solutions development for startups. 
  • AI transformation for enterprises.
  • Startup venture
services. 

Reviews

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Machine Learning AI Model Dev for Automotive Reliability Platform

"They communicated well and had a commendable work ethic."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Oct. 2018 - Ongoing
Project summary: 

data root labs developed a machine learning AI model that normalizes data from millions of records and identifies and engineers the best variables for inference.

The Reviewer
 
11-50 Employees
 
United Kingdom
Founder and CEO, Automotive Reliability Platform
 
Verified
The Review
Feedback summary: 

They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy. data root labs is a responsive partner and they’re proactive about identifying and resolving issues.

The client submitted this review online.

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.

5.0
Overall Score They delivered everything they promised.
  • 5.0 Scheduling
    ON TIME / DEADLINES
    They were responsive and easy to reach.
  • 5.0 Cost
    Value / within estimates
    They were reasonably priced.
  • 5.0 Quality
    Service & deliverables
    Their deliverables were well-organized.
  • 5.0 NPS
    Willing to refer
    I will be using them again and referring them.

AI Development for Multinational Communication Company

“Based on our experience, I highly recommend the DataRoot Labs team.”

Quality: 
5.0
Schedule: 
4.5
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Oct. 2017 - Ongoing
Project summary: 

DataRoot Labs built an AI-powered platform to collect data from advertising campaigns, analyze it, and generate predictions for future performance. It’s built on Kubernetes, PostgreSQL, and Redis databases.

The Reviewer
 
5,001-10,000 Employees
 
Ukraine
Alexander Shkura
CTO, Dentsu Aegis Network
 
Verified
The Review
Feedback summary: 

DataRoot Labs completed a working MVP, and they’re currently working in future iterations of the platform. In addition to their impressive project management and organizational skills, the team’s responsiveness and technical expertise set them apart from other vendors in their field.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

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.

5.0
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Blockchain Development for Loyalty Reward Platform

"DataRoot Labs demonstrates in-depth expertise in AI and blockchain technology."

Quality: 
5.0
Schedule: 
4.5
Cost: 
4.5
Willing to refer: 
5.0
The Project
 
$200,000 to $999,999
 
May 2018 - Ongoing
Project summary: 

DataRoot Labs built the architecture of a loyalty reward app platform using AI and blockchain technology. They made wireframes and technical specs and then developed an MVP from scratch. The project is ongoing.

The Reviewer
 
1-10 Employees
 
Tel Aviv, Israel
Elay Debeer
CEO, BUFF.game
 
Verified
The Review
Feedback summary: 

The team has met all requirements so far. DataRoot Labs produces high-quality deliverables on time and at excellent value. They respond quickly to bug reports and keep in constant contact. The team demonstrates technical expertise, grasping challenges quickly and offering insightful solutions.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

BUFF.game is a blockchain-chased loyalty program that rewards users for playing games. I’m a co-founder and the CEO of the company.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot Labs?

We engaged DataRoot Labs as a development partner. We needed to build our app’s architecture and infrastructure from scratch, and we wanted a tailormade solution to our needs.

SOLUTION

What was the scope of their involvement?

We first provided DataRoot Labs with our vision, strategy, and business goals. Our teams then sat together and defined the product’s technical requirements. We created a design document that described the product’s architecture and planning. They then helped us put together an R&D team.

The development team built an MVP of the app over eight weeks. It features an AI that analyzes game behavior and determines the rewards that a player has earned. It also uses blockchain technology as its foundation. The dev team had to overcome challenges with scalability and security among other issues to achieve a working product. We conceptualized the application to overlay mobile and desktop games; however, for the time being, it only works for desktop. Another vendor built the UI/UX based on wireframes that DataRoot Labs and our team created. DataRoot Labs helped review the finished UI/UX to ensure it matched our technical specifications.

What is the team composition?

We worked with a system architect, a blockchain developer, and a frontend developer. Once we completed the MVP, the team grew to include a project manager, a machine learning engineer, one frontend and one backend developer, a QA engineer, a blockchain developer, and a deep learning engineer.

How did you come to work with DataRoot Labs?

We were looking for a partner who could meet our needs and had sizable experience in AI technology and blockchain. DataRoot Labs came with excellent recommendations from colleagues.

How much have you invested with them?

We spent between $250,000–$500,000.

What is the status of this engagement?

We started working with DataRoot Labs in May 2018, and the project is ongoing.

RESULTS & FEEDBACK

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

DataRoot Labs met our goals and delivered high-quality products on time. The app has received positive feedback from users on its performance and how well it meets our requirements. Any bugs that arose were addressed within a day by DataRoot Labs. We’re highly satisfied with their work and their responsiveness.

How did DataRoot Labs perform from a project management standpoint?

The team has run the project smoothly so far. They understand our priorities on technology and business needs. We can scale accordingly to meet our delivery and timeframe goals and to respond to community needs. We primarily communicate through Slack and use Zoom for biweekly calls.

What did you find most impressive about them?

DataRoot Labs demonstrates in-depth expertise in AI and blockchain technology. They can address our business vision and work efficiently within our timeline and budget.

Are there any areas they could improve?

No, we’re highly satisfied with their work. I’ve been particularly impressed with their CTO and his in-depth knowledge and penchant for problem-solving.

Do you have any advice for future clients of theirs?

We found it helpful to give them our entire vision and our goals for the product and the business. They could understand our scope and deliver better work as a result.

5.0
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
  • 4.5 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

SEO & Data Dev for Performance Marketing Company

"They were good at figuring out the necessary functionality and had full involvement."

Quality: 
5.0
Schedule: 
4.5
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Apr. 2016 - Ongoing
Project summary: 

DataRoot Labs developed clustering algorithms to monitor keyword positions in Google search results. The team conducted preliminary research prior to developing the algorithms.

The Reviewer
 
51-200 Employees
 
Kiev, Ukraine
Anton Fedotkin
CEO, Promo.ua
 
Verified
The Review
Feedback summary: 

The new algorithms have drastically reduced the cost of monitoring search engine results to 10% per keyword. DataRoot Labs delivers impressive quality results at cost-effective prices and consistently meets deadlines. They are also transparent and proactive in their communication.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

Promo.ua is a performance marketing agency. We do search engine optimization and PPC services on usability services, and we have a small Magento development division. I’m the CEO.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot?

We needed to monitor the positions of multiple keywords across Google search results, which is usually on a per keyword basis. This was too costly for us, and so was keyword clustering. To find a cheaper process, we asked DataRoot to develop our clustering algorithms based on the data received from search engine results.

SOLUTION

What was the scope of their involvement?

We initially requested this service, and it was supposed to cost much less per keyword than the service was charging us. DataRoot did research for a week and told us their per keyword cost would be 10 times less, so we went with them to provide this service. We had a few examples of what we needed, which we gave to DataRoot. They were good at figuring out the necessary functionality and had full involvement. After they developed the first part, we asked for a proposal for the keyword-clustering algorithm, and they came back with what we requested.

What is the team dynamic?

There are four people on our team.

How did you come to work with DataRoot?

They were recommended by one of my partners.

How much have you invested with them?

We have spent over $50,000 with them.

What is the status of this engagement?

We started working with them in April 2016, and the relationship is ongoing.

RESULTS & FEEDBACK

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

We pay only 10% per keyword now, thanks to their work.

How did DataRoot perform from a project management standpoint?

They usually meet the deadlines. Sometimes they need more time, but that’s nothing major. For example, in one month, they may need a few extra days. One of my team members has been in contact with them more than I have, but as far as I'm aware, he hasn't had any problems with communication.

What did you find most impressive about them?

Their cost and quality ratio is impressive. I know a few people who develop projects like this, and nobody else would do it below $100,000.

Are there any areas they could improve?

We are happy with them. I hope they keep developing without raising their prices.

5.0
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
    They're not 100% on schedule, but there's always a reason and it's not a major problem.
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
    The product is perfect. There haven’t been many bugs, and the price to quality ratio is good.
  • 5.0 NPS
    Willing to refer
    I keep recommending them to my contacts.

Data Warehouse Platform Dev for Medical Tourism Company

"The main advantage of DataRoot is that their staff really loves machine learning, AI and data-mining."

Quality: 
5.0
Schedule: 
4.5
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
Jan. - June 2017
Project summary: 

For their most recent collaboration, DataRoot developed an analytical data-gathering system that uses behavioral data from a website.

The Reviewer
 
11-50 Employees
 
Ukraine
Stanislav Poruban
Business Development Officer, Bookimed
 
Verified
The Review
Feedback summary: 

Since implementation, conversion rates have increased. DataRoot was responsive, passionate, and possessed the skills required to make the project a success. 

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I work for Bookimed, a medical tourism company. We provide solutions for treatment abroad for those who can’t get what they’re looking for. I am the Chief Business Development Officer of the company.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot?

The business challenge was increasing our conversion rates. We have a staff of 25-30 doctor coordinators working for the company who have to deal with around 2,000 patients. When a patient comes to our website, they will leave an inquiry for getting treatment abroad which will then be processed by our team.

We found that conversions could be improved and have tried to work with DataRoot on finding the best possible match between patients and doctor coordinators. Doctors have different medical backgrounds and can work with specific kinds of people. The patients can also be different from person to person. 

SOLUTION

What was the scope of their involvement?

In order for us to learn everything we can about the user, DataRoot developed an analytical data-gathering system that obtains behavioral data from our website. For example, potential customers will come from different countries, look at different pages, type in different queries and spend differing amounts of time on our pages.

We have more than 300 different behavioral parameters for the users on the website cultivating a neural network which will determine which doctor coordinator will match the specific needs of a customer. In order to find out what kinds of patients can work well with them, the neural network can analyze all background cases of doctor coordinators.

For this project, there were at least 2-3 people involved from DataRoot’s team. We are working on other projects with them as well.

As far as I know, they’ve implemented the data-gathering functionality of our website through user behavioral events which send information to our Mongo database. There is a neural network algorithm in place as well as a regression model for processing the data.

How did you come to work with DataRoot?

Our business owner is good friends with the owner of DataRoot. We decided to find a project which could prove interesting for both our companies. We’ve come to know the company and have looked at some of the other projects they were involved in. I knew that DataRoot would perform well.

How much have you invested with DataRoot?

The cost of this project was between $15,000 and $20,000.

What is the status of this engagement?

Over time, we’ve launched at least 10 projects with DataRoot. The current one started around 6 months ago. The product has been launched recently and is working well. We will probably enhance it with new data and user-behavioral events in the future. The website is constantly evolving. We can create new behavioral patterns on it by adding new types of pages and interactional user interfaces which can be counted as behavioral criteria.

RESULTS & FEEDBACK

Could you share any evidence that would demonstrate the productivity, quality of work, or the impact of the engagement?

DataRoot has setup a neural network which continues to learn from the patient-doctor interaction data. They have also implemented a sort of tutor through which doctors can teach the network about the items that are not interesting or appropriate for them. The system is working autonomously and doesn't require ongoing support from DataRoot’s side.

When we started the project, there was nothing in place that could influence our leads. The conversion rate has increased since this tool was implemented and it continues to grow. We can assign the appropriate patients to the appropriate doctors.

How did DataRoot perform from a project management standpoint?

We created multi-company groups on online tools like Slack, Skype and Workplace by Facebook. At least twice a month, we gather together with DataRoot’s team to brainstorm and coordinate our next steps. The collaboration has worked well from a project management standpoint with no problems that I can remember.

What did you find most impressive about DataRoot?

In spite of their specialists’ young age, they have a large amount of knowledge and skills. The main advantage of DataRoot is that their staff really loves machine learning, AI and data-mining.

Are there any areas DataRoot could improve?

I am not a specialist in artificial intelligence so I can't comment in this area. From an interpersonal perspective, the team is made up of great people.

5.0
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer
Verification

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Verification Level
Bronze
VERIFIED
Business Entity
Status
Active
Jurisdiction of Formation
Ukraine
ID
40478808
Date of Formation
May 12, 2016
Last Updated
Apr 18, 2019
Client Reviews
VERIFIED CLIENT REVIEWS
5
OVERALL REVIEW RATING
5.0
Source
Clutch
LAST UPDATED
May 24, 2019