Your Data Science & AI Business Partner

About us

InData Labs is a leading data science firm and AI-powered solutions provider with its own R&D center. Having a mission to bring the power of AI to every business, we help organizations of any size create intelligent products and services or shape intelligent business processes. From small startups to large enterprises, customers choose us to find perfect solutions to their big data challenges.

Our work at a glance

Our solutions and consulting services enable our clients to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. The high quality of our work is a guarantee as we use proprietary technologies, stick to exceptional customer care, continually invest in talent development and own R&D center.

Since 2014, we have successfully implemented numerous projects for various industries:

  • 40+ projects worldwide
  • Logistics, Healthcare & Wellness, Marketing & Advertising, Entertainment, E-commerce, Banking & Finance, Energy & Utilities, E-learning, Legal Services, etc
  • Predictive models, recommendation systems, analytical software, integrated neural networks

We are experts in

  • Predictive Analytics, Forecasting, and Recommendation Systems (big data/ advanced analytics)
  • Data Retrieval, Extraction, and OCR 
  • Computer Vision (object detection, image recognition, visual search, brand/logo detection, object tracking)
  • Text Analysis
  • AI Research and Development (R&D) and Staff Augmentation
  • Cognitive Computing (sentiment analysis, face detection, risk assessment, fraud detection, behavioral recommendations)
 
$5,000+
 
$50 - $99 / hr
 
50 - 249
 Founded
2014
Show all +
Nicosia, Cyprus
headquarters
other locations
  • 173 Nezavisimosti ave, 14-15th floor
    Minsk, MI 220125
    Belarus
  • 6 Shenton Way, OUE Downtown 2
    Singapore 068815
    Singapore

Portfolio

Key clients: 

Captiv8, FLO, Wargaming, Okko.tv

Predicting Success of Racehorses by 3D Depth Images Image

Predicting Success of Racehorses by 3D Depth Images

The Client turned to our team with an idea of using 3D images for racehorse performance predictions. 

We were challenged with the creation of a custom application that will easily work with existing horses data, client’s sales datasets, provide filtering opportunity and navigation options.

We built an

application that helped our Client to implement AI into horse breeding and accurately predict race performance.
Building Predictive Analytics Module for E-Commerce Platform Image

Building Predictive Analytics Module for E-Commerce Platform

The Client needed a solution for giving single-brand recommendations.

InData Labs was challenged to create a custom predictive analytics & recommendation system to enhance the existing platform and also to improve sales. 

We created the model that addresses all Client’s business needs. Now the

model is used for completing multiple tasks.
Applying Deep Learning for Face Anti-Spoofing Image

Applying Deep Learning for Face Anti-Spoofing

The Client needed help in face recognition. His business objective was to design and create a robust solution for the prevention of spoofing attacks.

InData Labs was challenged with the training of a deep learning model for face anti-spoofing. The model had to discern such types of attacks as:

  • Printed attack
  • Digital attack
  • Replay attack

We created a Proof of concept and provided

the Client with a demo to address all the challenges. 

 

Improving Health & Fitness Apps with the Implementation of Predictive Analytics Image

Improving Health & Fitness Apps with the Implementation of Predictive Analytics

The Client - a provider of personalized applications in the healthcare & well-being area, wanted to improve the existing system to provide users with additional guidance and instructions on health & lifestyle.

Our team was challenged to tailor a Business Intelligence solution to work with user data gathered via

an app.

We managed to enhance the Client’s existing mobile fitness apps with predictive analytics capabilities and also offered to implement state-of-the-art approaches and technologies to provide better services.

NLP Solution for Customer Feedback Analysis Automation Image

NLP Solution for Customer Feedback Analysis Automation

The Client - an international game developer needed to create a customer feedback tool that will allow to download and analyze the reviews from different forums.

The solution we delivered was powered by custom natural language processing models trained to understand the slang of the particular game.

Now the Client can react to the players’ feedback as fast as possible, avoiding a

complex review retrieval process.
Building Social Media Analytics Software Image

Building Social Media Analytics Software

We cooperated with a Social Media Analytics Platform, which aims to evaluate users’ activity on social media.

We were challenged to come up with a fair and engaging way of scoring Facebook users.

We delivered a sophisticated social media scoring software built from scratch along with self-discovery tests & competitions on the platform keeping user engagement high.

Data Lake Implementation for Efficient Big Data Processing and Visualization  Image

Data Lake Implementation for Efficient Big Data Processing and Visualization

A UK-based global construction services company that helps different industry representatives to manage their business data was in need of building data lakes and deliver a BI solution for more efficient data processing.

We provided ready-to-use data services to help end-users solve business-critical issues & foster continuous business processes improvement. 

Neural Network Implementation for Better Cycle Predictions Image

Neural Network Implementation for Better Cycle Predictions

Flo is a smart period tracker that accurately predicts women’s menstrual cycles, ovulation, and fertile days.

We were working over the implementation of a neural network to improve irregular cycle predictions.

The current version of Flo’s neural network delivered by our team can improve irregular cycle predictions by up to 54.2% depending on the quality of input data, with

prediction error reduced from 5.6 to 2.6 days.
Making a Project Management System Smarter Image

Making a Project Management System Smarter

We were challenged to create a microservice that should be integrated into the Client’s infrastructure. One of our main tasks was to enhance the quality of the project management system.

We achieved the goals and created a microservice that provides access to the API to effectively evaluate a project duration. 

Our team managed to address the lack of information managers had when

estimating the duration of a project.

 

Building Influencer Marketing Analytics Platform Image

Building Influencer Marketing Analytics Platform

The Client - a digital marketplace that helps brands & influencers connect to impact audiences around the globe.

We were brought on board as a big data & data science expert. Our task was to enhance the existing platform and enable real-time analytics.

We managed to build an advanced influencer marketing analytics platform and automated the Client’s working processes.

Reviews

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Development for Anti-Counterfeit Platform

"Their competence in data science, machine learning is second to none."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Aug. - Oct. 2019
Project summary: 

InData Labs developed an application for an anti-counterfeiting technology platform. The included a mobile app, a pattern-matching algorithm, and a web app. 

The Reviewer
 
1-10 Employees
 
Copenhagen, Denmark
CEO & Founder, Anti-Counterfeit Platform
 
Verified
The Review
Feedback summary: 

The engagement allowed the client to land their first industrial proofs-of-concept and get through their seed round. InData Labs rigorously manages schedules and communicates effectively. The team is competent, friendly, and proactive.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

I am the CEO and co-founder of an spinout from the University of Copenhagen that is commercializing a novel anti-counterfeiting technology.

OPPORTUNITY / CHALLENGE

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

Following a initial application development by the university research team to support the publication of a number of research papers, we sought the services of InData Labs to help us develop a technology demonstrator.

What were your goals for this project?

Our goal for the demonstrator was two-fold: first, we needed a credible way of showing potential customers that the anti-counterfeiting technology was highly performant and easy to implement. Second, we needed to provide a convincing show of the technology to potential early-stage investors.

SOLUTION

How did you select this vendor?

InData came at the recommendation of an experienced consultant with in-depth knowledge of the Eastern European outsourcing landscape.

Describe the project and the services they provided in detail.

InData assisted us with the following deliverables:

  • A backend service which could register new anti-counterfeiting tags
  • A pattern-matching algorithm which could validate a given tag against a tag in the registry
  • A mobile app which could scan a tag
  • Application hosting during our early ramp-up phase while we lacked IT support staff of our own
  • Development and deployment of a web presence for commercial purposes

What was the team composition?

The InData team included data scientists and a small app development team supported by a PMO and Strategic Account Manager.

RESULTS & FEEDBACK

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

Our ability to close our seed round and land our first industrial proofs-of-concept were made possible through the assistance of InData Labs. They have been invaluable partners throughout the process. Specifically, the pattern matching algorithm performance targets that we set out at the beginning of the project were absolutely outperformed by the product delivered to us by InData Labs. We set out with an expectation that the demo would at least outperform our research algorithm, but we received an algorithm with verifiable industrial-grade biometric performance.

How was project management arranged and how effective was it?

We had a PMO manager and Strategic Account Manager at our disposal throughout the entire project. Our timeline was rigorously managed and regular touchpoints & demos were scheduled regularly. I normally received a response to my emails during work hours within an hour and the team made themselves available for meetings usually within 1-2 business days' notice.

What did you find most impressive about this company?

Their competence in data science, machine learning is second to none. The algorithms and methods were extremely well-explained and documented. We were likewise impressed by the friendly and proactive engagement we got from every member of the team. We're a very small organization with a limited budget, but they always treated us like our problems and our business was of utmost importance. In short, we got the same level of service that a company 1000x our size would have gotten.

Are there any areas for improvement?

It's difficult to pick any faults with our engagement with InData Labs. If were to state any shortcoming, it's that their relatively low profile doesn't align with their high level of technical competence. This company really deserves a lot more attention than they've had so far. They're the data science industry's best-kept secret!

5.0
Overall Score The 5 says it all. They deserve your business.
  • 5.0 Scheduling
    ON TIME / DEADLINES
    We were always able to get a meeting with them within 1-2 days' notice, without fail.
  • 5.0 Cost
    Value / within estimates
    Extremely competitive. They were able to work with us to cap the costs on our limited budget.
  • 5.0 Quality
    Service & deliverables
    Algorithm performance exceeded expectations - delivered on time and within budget.
  • 5.0 NPS
    Willing to refer
    Without reservation - one of the best development teams I've worked with, whether in-house our outsourced.

Custom Software Development for a Corporate Start-Up

“Their drive was strong, and the whole team pushed their limits to meet deadlines and make everything work.”

Quality: 
5.0
Schedule: 
5.0
Cost: 
4.5
Willing to refer: 
5.0
The Project
 
Confidential
 
August 2018 - Present
Project summary: 

InData Labs developed custom software for a corporate startup. They provided a fully functioning app with a front- and backend and connections to databases.

The Reviewer
 
1-10 Employees
 
Switzerland
Head of Business Development, Corporate Start-Up
 
Verified
The Review
Feedback summary: 

The finished product is the first major app for the startup, and it continues to evolve. InData Labs managed the project well, and they worked around the clock to meet deadlines. Their responsiveness was immediately evident, and they were forthcoming about their strengths and abilities.

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

BACKGROUND

Introduce your business and what you do there.

We are a corporate startup. We're relatively small, but we can access a larger company to use their resources when we need them. I manage our business development.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with InData Labs?

We're developing tools for the security printing industry and needed hardware that could communicate with users. The project called for coding, connections to databases, and a user interface.

SOLUTION

What was the scope of their involvement?

They did custom software development for us and provided a fully functional app for our end users. They did a lot of work in the backend, but I'm not sure of all the connections they completed or the software they used.

What is the team composition?

Our initial contact was a business development specialist, then we worked with a project manager, a character recognition specialist, and a few programmers who worked in the background.

How did you come to work with InData Labs?

We did a search for potential companies, and we found InData Labs in that search. They were incredibly fast and reactive, and we heard back from them within an hour after our initial inquiry. They gave a very good impression in an evaluation, and their level of customer satisfaction was very high.

What is the status of this engagement?

The project started around August 2018 after some early discussions. The last deadline was in June 2019, but they still do programming for us. There are still many things to do, so we'll continue working together after the summer.

RESULTS & FEEDBACK

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

We didn't have anything before, and this was the first major app we created. Our userbase and the product are evolving all the time, and each iteration is more elaborate than the last. Our next step will be to add some of the changes we've made to the client interface.

How did InData Labs perform from a project management standpoint?

They were very good project managers, and I'm particularly pleased with our main contacts. They worked day and night, and I would rate them very highly.

What did you find most impressive about them?

Their drive was strong, and the whole team pushed their limits to meet deadlines and make everything work. Their strengths showed throughout our collaboration.

Are there any areas they could improve?

At this stage, there is nothing they should improve.

Do you have any advice for potential customers?

Give them a try, even with small projects to test them out. They won't disappoint you, and they're very open about what they can and can't do. I would recommend them to anyone.

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

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. 

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

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.

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

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.