Neural networks

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).

Businesses receive not just call recordings, but ready-made transcripts and summaries, saving hours of manual work.

The tool is designed to unify document management, reduce the burden on the legal department, and mitigate the risk of missed deadlines.

The new product was developed in response to the growing risks associated with the use of AI in business.

All data is automatically integrated with customers' CRM and analytical systems.

It works and runs from the command line regardless of the development environment type and operating system.