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The foundation for sovereign enterprise AI

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

260B
Advanced reasoning for mission-critical workloads
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Lightweight intelligence for enterprise applications
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Benchmarks

State-of-the-art performance

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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.

Built on sovereign foundations
Developed and evolved in Europe using large-scale training pipelines and curated datasets designed to support regulated enterprise environments and European languages.
Enterprise-grade reasoning performance
Advanced reasoning capabilities enable complex analytical tasks, structured data workflows, and reliable decision support across enterprise systems.
Multilingual  intelligence
Strong performance across more than 50 languages, with targeted optimization for key European languages including Italian, French, German, and Spanish.
Domain-specific evolution
Continual pretraining (CPT) enables organizations to adapt models with proprietary knowledge, domain expertise, and evolving enterprise data.
Secure deployment
Models can be deployed in private cloud, on-premise, or isolated environments to ensure full control over data, infrastructure, and operations.
Model ownership
Organizations retain full ownership and control over their models, ensuring full operational control and long-term sovereignty.

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.

Banking
Detect anomalies across transactions, filings, and market data to automate compliance and support scalable risk operations.
Insurance companies
Process claims, policies, and risk models to accelerate underwriting, detect fraud, and improve decision accuracy.
Utilities company
Analyze operational data, maintenance records, and regulations to optimize infrastructure performance and ensure reliable service delivery.
Aerospace manufacturer
Reason over engineering data and production workflows to improve manufacturing efficiency, quality control, and technical decision-making.
Revenue agency
Process tax filings, legislation, and audit records to identify inconsistencies, streamline investigations, and strengthen compliance efforts.
Education systems
Synthesize research, institutional data, and program performance to inform policy decisions and guide long-term strategic planning.
Army
Integrate mission plans, logistics, and operational intelligence to improve coordination, readiness, and situational awareness in complex environments.
Air Force
Analyze flight operations, maintenance logs, and intelligence to support mission planning, fleet readiness, and airspace management.
Energy
Analyze grid operations, maintenance data, and regulations to optimize performance, predict failures, and ensure reliable energy delivery.
Oil & Gas
Integrate geological data, production records, and operational intelligence to support exploration, optimize extraction, and manage complex operations.
Manufacturing
Reason over production data, engineering documentation, and supply chains to improve efficiency, quality control, and operational planning.
Agriculture
Analyze environmental data, crop intelligence, and supply chains to optimize resources, improve yield forecasting, and support resilient food systems.

Related Products

Our complete product offer

Explore our agents, platform, and compute layer to build a fully integrated AI stack — from chip to frontend.

Frequently asked questions
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

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