Neural networks

The solution allows using popular models, including DeepSeek, Qwen, GLM, and others, without deploying your own infrastructure.

The solution operates in a closed loop, analyzes code, performs routine tasks, and requires user confirmation only for critical operations

Previously, the platform provided models deployed in its own infrastructure

Along with the model, Sber published tools that accelerate the training of diffusion models.

The AI analyst operates on the basis of the GigaChat neural network model.

Generative AI has evolved from demonstrations to industrial implementations. A modern solution must operate within a closed loop, consider security, integrate with corporate systems, and deliver measurable impact. We spoke with Alexander Perevalov, Head of AI Development at GreenData, about where generative AI is already benefiting businesses, which scenarios remain experimental, and why open-source models alone do not solve the customer's problem.

The solution is aimed at organizations with strict information security requirements and complies with legislation, including 152-FZ.

The development is designed to address the problem of increasing workload on specialists.

The service operates on Yandex Neuro Ads neurotechnology.

Users can focus on business tasks, not technical routine.

This approach accelerates the development of complex AI solutions.

The ecosystem is aimed at corporate and government customers.

Previously, the platform already offered mirrors for Java (Maven Central), JavaScript (NPM), and containers (Docker Hub).