Data Science & AI Solutions

InData Labs Can Help You Build AI-Driven Products

Artificial intelligence consulting and development services to empower our clients to become leaders in their field

We use machine learning (ML) tools and algorithms to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing, and integrating artificial intelligence solutions within the customer’s business environment.

data science ai

World-Class Data Scientists and Machine Learning Engineers

We cooperate with businesses of different sizes, from startups to large enterprises. From our experience, we know that regardless of the size of a company, business owners face similar challenges planning new data initiatives.

Our clients either don’t have their own data science teams, or their team is too small to cope with all the tasks in the environment of a fast-growing company.

With InData Labs, you’ll save time on looking for top-notch specialists. Our team of world-class data scientists, AI consultants, and ML engineers will bring technical know-how to your project from day one.

How We Solve Problems

  • Discovery
    Reviewing your current capabilities and defining future goals to make recommendations for tools, technology, and architecture.
  • Improvement
    Improvement of previously built models to continuously raise the quality of insights and to keep up with the changing environment.
  • Proof of Concept
    Test a small-scale system, proving the viability of ML models for your problem.
  • Production
    Insert the ML system into production while considering costs of implementation and maintenance during deployment.

We Successfully Cooperate with Different Teams In Your Company

data science teams
Data Science Teams

If a company already has a data science team, we become a valuable asset bringing profound expertise in certain subfields of AI, such as computer vision, natural language processing, or predictive analytics.

data engineering teams
Data Engineering Teams

ML may not be the key expertise of your company. In this case, we are working with your existing engineering team. We provide the API of an ML system that fully corresponds to your needs and requirements. This way, we allow your team to focus on their primary tasks rather than try to learn an entirely new discipline.

business units
Business Units

This type of cooperation often starts with developing a proof of concept for a business unit. Typically stakeholders are non-technical people who have very “high-level” goals. We work closely with them breaking down these goals into logical steps, defining and prioritizing use cases, and providing the best solution for each to achieve complex results.

What We Offer

Custom-tailored AI solutions and services by InData Labs help our clients to solve complex issues and add value to their business efficiency.
  • data science and analytics
    Data Science & Analytics
  • data strategy
    Data Strategy
  • business intelligence
    Business Intelligence
  • ai software development
    AI Software Development
  • ai consulting services
    Artificial Intelligence Consulting
  • data engineering and architecture
    Data Engineering & Architecture

Why Work with InData Labs

  • Flexible Cooperation Models
    We offer flexible terms of cooperation that are the best fit for your business needs.
  • Innovative Approach
    The use of the latest tools and technologies with innovative approaches.
  • Extensive Experience
    Extensive experience and deep domain know-how in ML and AI solutions development.

Technologies

We use the best technologies available on the market, and we continually enrich our tech stack.
  • technology python
  • technology tensorflow
  • technology scikit learn
  • technology spark
  • technology keras
  • technology apache
  • technology kafka
  • technology postgresql
  • technology elastic
Customer Success
building predictive models
Building Predictive Models to Improve Debt Collection Effectiveness

The Client is a debt collection agency that collects debts across various industries and customers.

Our challenge was to improve debt collection effectiveness with the help of predictive analytics.

As a result we improved the efficiency of the debt collection process and gave the Client an ability to optimize collection agents’ time, allowing them to target the most promising accounts first.

success story of FLO
Neural Network Implementation for Better Cycle Predictions. Success Story of Flo

InData Labs’ team was working over the implementation of a neural network to improve irregular cycle predictions for application users of FLO.

The current version of Flo’s neural network implemented by InData Labs 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.

solution for a game developer
Helping a Leading Game Developer Automate Customer Feedback Analysis

The Client – an international game developer and publisher.
InData Labs team built a customer feedback tool that allowed to timely download and analyze all the reviews from YouTube and forums.

Our solution was powered by custom NLP models trained to understand the slang of the particular game. With the help of the tool, the Client’s team has all the necessary information at hand as soon as the new release goes live and can react to their players’ feedback as fast as possible avoiding a complex review retrieval process.

Contact Us

Leverage our in-depth expertise to build your second to none AI product. Let's talk about your project.

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