Astra Group Unveils Astra AI Ecosystem for Air-Gapped Corporate Networks

Astra Group has introduced its Astra AI ecosystem designed for secure, on-premises deployment in closed corporate environments. The solution enables organizations to run AI models locally without transmitting data to external services, targeting critical infrastructure operators, government agencies, and regulated industries. Built on Astra Linux and the Botsman containerization platform, the ecosystem includes five integrated components for code automation, office assistants, low-code agent development, model management, and implementation methodology. The company claims productivity gains exceeding 50 percent for development tasks and up to fourfold performance improvements with its certified hardware-software complexes. While emphasizing data sovereignty and regulatory compliance, Astra Group notes that local deployment alone does not eliminate risks related to agent permissions, output quality, and integration security.

AntiMalwareTranslated from Russian

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Astra Group has unveiled its Astra AI ecosystem, enabling organizations to deploy and manage artificial intelligence models entirely within their own infrastructure. The announcement was made at the Digital Solutions — 2026 forum.

The new offering targets enterprises operating in closed corporate networks, government bodies, and operators of critical information infrastructure. It supports full compliance with Russian regulatory requirements and import substitution policies by keeping all computations inside the customer’s perimeter.

At its core, the ecosystem runs on Astra Linux and the Botsman container orchestration platform. Five main components are included: Code for automating software writing, testing, and refactoring; Digital Office providing assistants for routine business tasks; a low-code Platform for building custom agent-based services; Hub for model storage, compute resource allocation, and access control; and Trajectory, a methodology covering process audits, use-case selection, and results evaluation.

Deployment options include fully local installation, hosting via Astra Cloud, and pre-configured hardware-software complexes. The vendor reports productivity improvements of more than 50 percent in development workflows, with specialized complexes delivering up to four times the performance of comparable GPU servers.

The primary goal is to give organizations full control over AI operations on their own technology stack. However, the company stresses that operating in a closed contour does not automatically make AI agents error-free; rights management, response quality, and integration security must still be actively monitored.

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