Put AI to work within your data boundaries.
Give your team AI that can work with the information they are allowed to use. We build private AI applications around your data, access rules and deployment requirements.
Discuss your project- Approved sources
- Controlled access
- Answers with context
Useful answers start with the right access.
An internal knowledge assistant needs more than a model. It needs current sources, permission-aware retrieval, a way to check answers and someone responsible for operating it.
Bring the right knowledge into reach
Connect proprietary knowledge through retrieval-augmented generation (RAG), with access rules that follow the user and the source. Fine-tuning is an option for a defined task, not a substitute for keeping the underlying knowledge current.
Choose where the model and data run
Compare on-premise, private cloud and managed deployment against model quality, operating cost and data sovereignty requirements. We document data flows and work with your advisers on applicable requirements, including GDPR or HIPAA where relevant. Hosting location alone does not establish compliance.
Evaluate, maintain and update
Test representative questions, failure cases and access boundaries before rollout. Model evaluation and red-teaming inform the release decision. Ongoing maintenance covers source updates, model changes, usage records and operating costs.
What you have at handover
An evaluated AI application with documented data flows, permissions and operating responsibilities.
Where this shows up in the work
- Connect approved knowledge sources
- Enforce user and service access boundaries
- Compare models on representative tasks
- Record model usage, errors and operating costs
Shared knowledge for an engineering team
A queryable map of services and dependencies gives engineers and their assistants scoped context for planning and reviewing changes.
Explore the retrieval and review workflow, including where engineers check retrieved context against current code.
Read the case study : Shared code knowledge for an engineering teamWhen this is a good fit
You have a concrete internal use case and requirements that a general-purpose chat account cannot meet.
Before you build
Self-hosting is a trade-off, not a privacy guarantee by itself. We compare managed and private options against your requirements before committing to infrastructure.