AI is evolving in leaps and bounds, and is playing a crucial role in modern society. This technology triggers great shifts in such industries as healthcare, automotive, retail, construction, banking, advertising, and more. AI is about to change the job landscape and ways of service delivery.
The impact of AI on human life is steadily growing. As a team of data scientists and AI engineers, we are at the forefront of assisting businesses and individuals in adopting AI-driven technologies and transforming traditional operations.
InData Labs is one of the AI research companies and R&D leaders seeking ways to continuously improve expertise in the field, adopt state-of-the-art technologies and innovative approaches.
We are using a deep learning approach and tailor neural network-based solutions that enable machine vision technology and allow automated detection and recognition of objects and people.
We build custom facial recognition models based on vast amounts of training data, thoroughly gathered, labeled, and verified. We use such proven methods as FaceNet, SphereFace, Cosface, and Arcface, and work with proprietary technologies.
Our team creates machine learning-based logo detection solutions that help improve brand visibility through real-time capturing and identifying brand logos on images or broadcast video streams.
Our data science engineers tackle object segmentation problems in 3D point clouds and generate immersive 3D models of the physical world with great ease and efficiency.
We are always looking for new ways, innovative approaches, and bright ideas that will allow us to make our products and services second to none.
The InData Labs technical team actively participates in tech events all over the world. We keep pace with the latest trends and studies in the field of artificial intelligence, big data, and machine learning.
InData Labs participated in a two-day Rolls-Royce Manufacturing Hackathon that took place in the University of Sheffield, UK.
The main goal was the automation of the process of identifying defective parts of aircraft in the early stages of production.
One of the requirements of the hackathon was not only to provide a data analysis and machine learning solution, but also to justify the financial benefits of its implementation.
We believe the world is on the verge of an AI revolution, and our mission is to bring the power of AI to every business. To accomplish this, we take active steps towards helping the data science community to grow.
In 2017, InData Labs organized an AI-Day in Minsk at the site of the Business Incubator of the High Tech Park.
The brightest minds in artificial intelligence from Belarus gathered in Minsk to discuss emerging technologies and the challenging aspects of implementing AI in real projects.
Data Fest is an informal conference that unites researchers, engineers and other data science folks.
Our Machine Learning Engineer, Roman Merkulov, presented research regarding NLP with a focus on innovations that have been introduced to natural language processing in recent years.
He discussed whether the transfer of learning for text data will become as powerful as for computer vision, and how far we are from the moment when machines will be able to communicate with us in natural language.
Participation in events of such a format and level allows us to build up extensive experience by diving into new and specific domain areas. It is a source of inspiration that enables our team to take a broad view of tasks.
Our team comprises 50+ professionals in their field.
Our data scientists and machine learning engineers deliver lectures at leading universities in the Republic of Belarus. 59% have a master’s degree in Applied Mathematics, System Analysis, and Computer Science.
We always invest a lot of effort in finding the most optimal technical solution for each client.
Our team has extensive experience and deep domain know-how in big data and artificial intelligence solutions.
We are always looking for new ways to improve our services and get the best possible results with the help of proven technologies.