Services
What we build
Agents, identity layers, MCP integrations, retrieval systems, applied research prototypes, and operating foundations for AI work that has to hold up in use.
Commission a system
An agent, a connected tool, or the software around a whole workflow.
Investigate a research problem
A model to understand, an experiment to reproduce, a direction to test.
Operate and improve
Evaluation, monitoring, and continued engineering for systems already in use.
Bring a workflow, a research question, or a half-built agent. The first step is to make the system clear enough to build, test, and hand over.
- 01AI agent developmentCustom AI agents for real operating work, built end to end by an AI lab in Delft: workflow, tools, evaluation, deployment, and handover.
- 02Agent identity and trust-aware toolingIdentity architecture for AI agents: signed provenance records, delegation, revocation, and tool use that separates who acted from what they may do.
- 03MCP integrationsModel Context Protocol integration work for agents that need reliable access to tools, documents, systems, and guarded actions.
- 04RAG and document intelligenceRetrieval and document intelligence systems that answer from your material, cite their sources, and expose uncertainty instead of pretending.
- 05Applied AI researchResearch-to-prototype work for AI questions that need evidence, small experiments, and a path to implementation.
- 06Agent operationsOperational foundations for AI agents: logging, evaluation, incident paths, release discipline, and supportable autonomy.