The foundation for sovereign enterprise AI
A portfolio of enterprise language models built to power reasoning, autonomy, and decision-making in regulated environments.
Your model as a proprietary advantage
Domyn’s LLMs enable organizations to build and operate sovereign AI systems with full control over their data and deployment environments.
Models Comparison
Domyn Large vs Domyn Small: pick the best LLM for your needs
Domyn Large
Domyn Small
Optimization Focus
Broad general knowledge and high power.
Efficient, fast and cost-effective responses.
Infrastructure Requirements
Designed for high-performance environments and more demanding workloads that require greater computational resources to deliver advanced capabilities.
Well suited for resource-constrained environments (including on-premise, laptop, edge devices).
Access Mode
Proprietary and fully managed with Microsoft-backed infrastructure.
Open, customizable model enabled by fine-tuning through self-managed infrastructure.
Customization Level
Ready-to-use model with built-in domain expertise.
Adaptable model, fine-tunable to your desired knowledge domain, enabling greater customization and control.
Choose it if
If you are looking for an out-of-the-box model
If you need end-to-end support for deployment
If you are looking for a versatile model
If you prefer full control over your deployment
Harnessing LLM power across industries
From financial services to government and advanced manufacturing, Domyn Large and Small can deliver actionable insights, optimize workflows, and provide strategic value.
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- What makes Domyn models different from general-purpose LLMs?
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.
- How are Domyn models adapted to specific 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.
- What enterprise tasks are Domyn models specifically optimized for?
Domyn models are optimized for structured enterprise tasks such as Text-to-SQL, Text-to-Cypher, knowledge graph extraction, and safety classification.
- What does “tool use” mean in Domyn models?
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.
- Can Domyn models integrate with enterprise data systems?
Yes. Domyn models are designed to work with enterprise data infrastructure, including relational databases, graph databases, APIs, and retrieval systems.
- Where are Domyn models deployed?
Domyn models can be deployed in private cloud, on-premise, or isolated environments, ensuring full control over data, infrastructure, and operations.
- How does Domyn ensure safe and compliant AI usage?
Domyn models are developed in alignment with the EU AI Act and include safeguards to mitigate risks related to misuse and harmful outputs.
- Who retains control over the models and data?
Organizations retain full ownership of their models and data, with complete control over deployment environments to support sovereign AI strategies.
- How are Domyn models evaluated for enterprise use cases?
In addition to standard benchmarks, Domyn models are evaluated on enterprise-specific tasks such as structured query generation, knowledge graph extraction, and safety classification.
