In Russia, AI Will Be Trained on a Unified Data Platform
A new Russian data-labeling platform aims to streamline how artificial intelligence systems are trained, giving developers faster access to high-quality datasets across multiple industries.
The platform, called “Biorg. Data Labeling,” has become available in Russia and is designed to prepare structured data collections for training artificial intelligence systems.
Developed by Biorg, a resident company of the Skolkovo innovation hub, the tool enables the creation of datasets for medicine, industry, autonomous transport, aviation, finance, and digital government services. The company stresses that high-quality data labeling is the most critical stage in AI development, directly determining the reliability of future technologies.
Speaking the Language of Machines
Data labeling translates raw images, text, audio, or video into machine-readable form. The system must be told exactly what is shown, where an object is located, how it looks, and how it differs from others. AI systems learn from such examples and then apply that knowledge in real-world conditions. A convenient labeling tool therefore allows developers to build training datasets faster and launch new models more quickly.
Free for Users
The platform follows a freemium model and allows users to set up a project in just 10 to 15 minutes. Developers can assemble datasets for free in COCO JSON format, test hypotheses, and run pilot projects.
According to Aligadzhiev, using the service can reduce up to 80 percent of the resources that are typically spent on data preparation.
High-Quality Data
The platform currently supports labeling of text and images, including drawing bounding boxes, creating free-form contours, and working with pixel-level precision. Support for audio and video data is planned starting in 2026.
Development of the platform began in 2023. The tool later received support from the Agency for Strategic Initiatives and, in 2025, became an open SaaS platform. Among its first projects was the labeling of images of park areas and burial sites for the company Sfera, a project intended to improve government services for territorial development planning.
