AI consulting, RAG and agents.

We design RAG and agentic systems for companies that need to work with their knowledge and processes. The starting point is a useful task, a defined data boundary and a way to evaluate the result.

Discuss an AI use case

A model is one part of the system.

Permissions, context, integrations and human review determine how the application can be used.

Connected blue structures, a glass core and a copper ribbon.

Your sources: Approved documents and systems
Retrieval: Access rules and relevant context
Model & tools: Bounded tasks and integrations
Human decision: Sources, review and approval

Consult your knowledge with RAG.

Search and question-answering over selected business content, with access controls and references to supporting sources.

Source inventory and ingestion design
Retrieval and application integration
Evaluation set for answer quality and source relevance

Support bounded tasks with agents.

Workflows that use tools and business services within explicit permissions, with approval points for actions that require a person’s decision.

Task boundaries, tools and action permissions
Human approval and recovery paths
Traceability, failure cases and execution evaluations

Agree what “good” means before the pilot.

We agree representative examples and acceptance criteria with the people who know the process. Evaluation covers answer grounding, access boundaries, failure handling and the cost of the proposed workflow.

What may the system read and do?
When must it stop or ask a person?
Which evidence supports extending the pilot?

Client solutions and our own research.

Our AI offering concerns your business systems. Notarius is a separate proprietary product. We also use coding agents in our engineering work, separately from the solutions we design for clients.

Explore our products

Start with a useful task.

Bring a process, a source of knowledge and the decisions that need human control. We will define what is worth testing.

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