Experts in Data Science & Artificial Intelligence

InData Labs is a data science & AI consulting company.

Leveraging machine learning, AI, and Big Data technologies InData Labs helps tech startups and enterprises build AI-driven products and solutions that act human like. Our team has profound knowledge and experience in designing, implementing and integrating Artificial Intelligence solutions within the customer’s business environment.

 

Our projects have helped our customers add mission-critical features to their products, increase sales, improve customer experience, and reduce customer churn.

InData Labs core services include: data strategy consulting, engineering, and data science. Our services allow companies to innovate, experiment with new tools, explore new ways of leveraging data, and continuously optimize existing big data solutions.

As a boutique data science company, InData Labs is structured to support many flexible delivery models that can adapt to customer needs while maintaining speed and agility. We can deliver projects onshore, offshore or in a hybrid configuration to optimize cost, productivity, and collaboration.

Our world-class data scientists and big data engineers will bring know-how to your project from day one. Starting a project with InData Labs you will start smart and will avoid the unnecessary investments into wrong platforms and capabilities.

Let us deliver your next breakthrough project!

 
$5,000+
 
$50 - $99 / hr
 
10 - 49
 Founded
2014
Show all +
Minsk, Belarus
headquarters
other locations
  • 16 Kyriakou Matsi
    Nicosia
    Cyprus
  • 6 Shenton Way, OUE Downtown 2
    Singapore
    Singapore

Portfolio

Key clients: 
  • Captiv8 - a leading influencer marketing agency
  • Flo: Smart Period Tracker - among top 5 apps in health & fitness category
  • One of the largest online game developers in the world
  • A fitness app - among top 5 apps in health & fitness category
  • One of the fastest-growing retail chains in EMEA
  • Social Media Marketing Startup
  • Company providing video-on-demand online 

Reviews

Sort by

Predictive Ovulation Tracker for Healthcare Startup

"They have good data science expertise."

Quality: 
5.0
Schedule: 
5.0
Cost: 
4.0
Willing to refer: 
5.0
The Project
 
Confidential
 
May 2016 - Ongoing
Project summary: 

InData Labs applied data science/engineering skills in designing an app’s processing architecture to manage real-time machine learning and analytics. They now assist with content personalization.

The Reviewer
 
1-10 Employees
 
Minsk, Belarus
Andrew Kovzel
CTO, Flo by OWHealth
 
Verified
The Review
Feedback summary: 

The product supports over 5 million active users per month, maintaining a service load of 1,000 requests per second. InData Labs’ business intelligence, performance analysis, and clear communication flows continue to promote a successful engagement. 

BACKGROUND

Introduce your business and what you do there.

We are a digital health startup developing solutions that help women take control of their health, track periods, and get ready for pregnancy. We combine intuitive designs, science, and modern technologies in order to turn a regular mobile app into a women’s personal health assistant. The application is called Flo, and it uses artificial intelligence for accurate predictions. I’m the CTO of the company. 

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with InData Labs?

Our team is good at mobile app development, but we lack expertise in data science and engineering. We needed an expert partner who could fill that gap. We are using a mobile backend called Parse, which was acquired by Facebook in 2013. When they unexpectedly announced that it would be shut down in early 2017, we had to plan a recovery strategy and start to implement it quickly. We decided to find a company that could help and came across InData Labs. 

SOLUTION

What was the scope of their involvement?

InData Labs has designed a data-processing architecture which can handle massive quantities of data and support near-real-time analytics and machine learning. One of their tasks was the migration from Parse. InData Labs built a client-server API, allowing our mobile applications to connect to the server, and also built machine learning models for menstrual cycle prediction. It allows us to make predictions on irregular cycles with an accuracy of more than 54%, which is a good number in this context.

We worked with a manager from InData Labs’ team during the initial setup, but we had direct communication with their two data scientists for the rest of the time.

How did you come to work with InData Labs?

After a careful consideration of our options, we chose InData Labs because of the quality of their team. We started the search in our own location, and InData Labs is based in the same city as our team. They had a good reputation and specialized in data science, which we needed at the time. There are many outsourced companies in Minsk, but they are more generalist.

How much have you invested with InData Labs?

It was a considerable investment on our part. InData Labs assigned two data engineers who worked with us for a year.

What is the status of this engagement?

We started working with InData Labs in May of 2016. We continue to develop additional features which require data science and machine learning skills. One of our current tasks is personalizing the app content based on our data. 

RESULTS & FEEDBACK

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

We don’t track formal performance parameters and mostly qualify InData Labs’ work intuitively.

We have more than five million monthly active users. The service load is rather high, with around 1,000 requests per second. InData Labs built a solution which can cope with this demand rather well. We perform a lot of data analysis and research, based on the user data we collect.

The business-intelligence system built by InData Labs allows us to analyze data on our own, without their help. Any complex reports are still being built by their developers.

How did InData Labs perform from a project management standpoint?

We’ve had no problems in this area. The communication between our two teams was done through JIRA and Flex. We also had daily calls and organized on-site meetings if needed. InData Labs met the deadlines we set for them, which was important for us. We mixed different techniques like Kanban and sprints. We did have strict deadlines at times, but for most of the collaboration, we simply had a backlog of tasks to perform.

What did you find most impressive about InData Labs?

They have good data science expertise. We don’t have general models which can be built by anyone, so we appreciate InData Labs’ skillset.

Are there any areas InData Labs could improve?

InData Labs has assigned two data science engineers to our project. We have had tasks related to engineering as well as data science and analysis. Having separate resources for these areas could improve the performance of the whole team. We are working on this and may come up with a solution in the future. Overall, we’ve had a very good collaboration, and I highly recommend InData Labs.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
    They met our deadlines when needed.
  • 4.0 Cost
    Value / within estimates
    InData Labs is a costly group. As a startup, we would have preferred a lower price.
  • 5.0 Quality
    Service & deliverables
    We have a mix of data engineering and data science resources. This was an obstacle at times, but it’s more about organization around tasks.
  • 5.0 NPS
    Willing to refer
    I highly recommend InData Labs.

API Development & Data Management for Social Analytics Tool

"We work closely with each other to solve problems quickly."

Quality: 
4.5
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
Confidential
 
Apr. 2015 - Ongoing
Project summary: 

InData Labs’ data scientists and engineers created an API and track 50,000 social network profiles, leveraging their own infrastructure to deliver analytics.

The Reviewer
 
11-50 Employees
 
Minsk, Belarus
Project Manager, SMM Firm
 
Verified
The Review
Feedback summary: 

The collaboration has enabled quicker dissemination of info to customers, efficient problem-solving, and rapid implementation of new features. In addition to applying technical skills, InData Labs regularly provides advice about strategic implementation.

BACKGROUND

Introduce your business and what you do there.

We analyze Instagram, Twitter, and YouTube and provide analytics to our customers. 

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with InData Labs?

We needed to create a tracker for customers' accounts and to collect information. We also wanted to analyze the audience an account is reaching based on metrics around interests, geolocation, ethnicity, languages, and so on for top posts and engagement. 

SOLUTION

What was the scope of their involvement?

We have an API [application programming interface] with InData Labs, and we use their infrastructure to receive analytics. Our platform is based on Java, Python, and Kafka. InData Labs has two teams: data science and engineers. Both teams work with these different technologies.

We then engaged InData for a second project. We have around 50,000 profiles created of popular people in social networks. We use InData Labs’ servers to track these profiles. We have a very effective infrastructure from InData Labs.

How did you come to work with InData Labs?

When we launched our company, we were familiar with the people who started InData Labs. We talked about what we needed and decided to work with them.

What is the status of this engagement?

We started working with them in April of 2015, and we still work with InData Labs. We have a lot of new tasks for them, and they also take care of any issues we have. 

RESULTS & FEEDBACK

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

Two years ago, we worked with a different company who charged us a monthly fee of $15,000. We now receive the same services from InData Labs for under a third of that cost, and they provide us with even more information.

How did InData Labs perform from a project management standpoint?

We have a project manager. We use JIRA, and I create tasks for them. We discuss how each task should be implemented, we receive an estimate, then they start work.

What did you find most impressive about InData Labs?

They provide advice and expertise on how we can implement features, which is very important for me. We work closely with each other to solve problems quickly.

Are there any areas InData Labs could improve?

We don’t have any problems right now. I think we work together very effectively. 

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
    We don’t always have strict deadlines, but they communicate well with us when we do. Also, they are always trying to improve.
  • 5.0 Cost
    Value / within estimates
  • 4.5 Quality
    Service & deliverables
    Everything is good right now, but we did have issues when we first launched the project.
  • 5.0 NPS
    Willing to refer
    I can see the progress we’ve made since we engaged InData Labs. We’re now able to provide more information to our customers, solve problems, and add new features quickly, which is important for me. They always accommodate changes.