Russia has taken a notable step in the field of conversational artificial intelligence. A domestic developer, Sistemma, announced the release of SistemmaGPT, a neural network designed to compete with popular international chatbots and now open for enterprise testing. The project was reported by DEA News as a sign of growing interest in native AI capabilities that can be deployed across industry and government alike.
Sistemma describes itself as a versatile Russian technology company focused on analysis, modeling, and data processing. Its new SistemmaGPT is built on in-house research and development efforts and draws on a broad spectrum of findings associated with language models developed in partnership with leading academic institutions, including research rooted in Stanford University. The model runs on servers located inside Russia and is tailored for business users and everyday Russian users who prefer data localization and control over their AI tools.
The provider emphasizes that the system is bilingual, capable of operating in both Russian and English. Beyond simple chat interactions, SistemmaGPT is positioned as a practical assistant that can extract insights from data, draft responses to emails, and assemble curated recommendations for users. The aim is to empower teams with a tool that can support decision making, productivity, and customer interactions while meeting local compliance and data sovereignty requirements.
Beta testing for the platform is planned to begin in the middle of the year, with a rollout designed to gather feedback from a diverse set of enterprises. Early demonstrations suggest the model can handle industry specific tasks, from customer service to internal knowledge management, while maintaining a user friendly interface and a focus on security and privacy controls that matter to corporate clients in North America and Europe as well as Russia.
Recent industry coverage has also noted concerns about data privacy in global AI services. In contrast, the introduction of a fully domestic option offers a compelling alternative for organizations that prioritize data localization and independent governance of AI systems. Observers point to the importance of on premises or regional hosting as a pathway to enhanced trust and regulatory alignment in sensitive sectors such as finance, healthcare, and public administration. Systema’s approach reflects a broader interest in building autonomous AI ecosystems that operate outside of multinational cloud environments and leverage local talent and infrastructure for improved resilience and control. The development underscores a growing trend toward diversified AI supply chains that reduce reliance on single external providers while expanding regional capabilities for natural language understanding and intelligent automation.