We Build AI-Powered Solutions & Infrastructures

DataRoot Labs is a full-service Data Science & Artificial Intelligence R&D company. 

Focus. Big Data Management & Strategy Consulting, Data Science & Engineering. We believe that mining of new business insights using data is a key to success in our fast-changing, but still — data-driven world.

 

Competence. Our team of geeks is really good at building & assembling AI-Enabled solutions. We deliver to our partners and clients the unique value leveraging Deep Learning, Computer Vision, NLP, Advanced Scoring Models, DWH platforms development & everything related to data lifecycle. BTW, especially we ❤️ full-stack Scala ecosystem.

Story. Since 2016, we've been working with SMB and enterprise-level clients from London, Luxembourg, Tel-Aviv, Kiev, Minsk, and LA, being involved in 50+ projects facing different complexity, roles (from a dedicated team to entire product ownership), our team is one of the biggest & experienced in the industry in Ukraine.     

Also, we contribute to the community by running free advanced trainee program — «Data Science & Engineering» based on DataRoot University in Kiev for PhDs looking to enter the industry.

Where. Headquartered in Kiev, Ukraine, has a sales office in Tel Aviv, Israel.

Get in touch. Let's finally bring AI to your story!

Drop us a line — [email protected]

FB & Medium — @datarootlabs

 
$5,000+
 
$50 - $99 / hr
 
50 - 249
 Founded
2016
Show all +
Kiev, Ukraine
headquarters
  • DataRoot Labs
    Polova 21
    Kiev, KV 03056
    Ukraine
    0800211235
other locations
  • DataRoot Labs
    HaBarzel
    Tel Aviv-Yafo, T 6971040
    Israel
    0800211235

Reviews

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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.

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. 

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