

A portfolio of enterprise language models built to power reasoning, autonomy, and decision-making in regulated environments.


Domyn’s LLMs enable organizations to build and operate sovereign AI systems with full control over their data and deployment environments.

Domyn models are designed for enterprise and regulated environments, combining advanced reasoning, structured data access, and multilingual optimization for European languages. They are aligned with frameworks such as the EU AI Act and adapt to specific enterprise domains.
Through Continual Pre-Training (CPT), Domyn models can be adapted using proprietary data. This allows organizations to embed domain expertise, update knowledge, and align the model with their specific operational needs.
Domyn models are optimized for structured enterprise tasks such as Text-to-SQL, Text-to-Cypher, knowledge graph extraction, and safety classification.
Tool use refers to the model’s ability to interact with external systems such as databases, APIs, and enterprise software. This allows the model to execute tasks, retrieve real data, and automate workflows instead of only generating text.
Yes. Domyn models are designed to work with enterprise data infrastructure, including relational databases, graph databases, APIs, and retrieval systems.
Domyn models can be deployed in private cloud, on-premise, or isolated environments, ensuring full control over data, infrastructure, and operations.
Domyn models are developed in alignment with the EU AI Act and include safeguards to mitigate risks related to misuse and harmful outputs.
Organizations retain full ownership of their models and data, with complete control over deployment environments to support sovereign AI strategies.
In addition to standard benchmarks, Domyn models are evaluated on enterprise-specific tasks such as structured query generation, knowledge graph extraction, and safety classification.