On-Premise Private AI / Private RAG & Knowledge
Secure retrieval over your internal documents, inside your infrastructure.
Retrieval systems built over your private and internal data: indexing, retrieval evaluation, query routing, and citations, deployed inside your infrastructure so the knowledge never leaves.
The intelligence that runs a business is locked in documents, tickets, and processes. General models cannot see it, and sending it to a hosted API is off the table for regulated data. Retrieval has to run where the data lives.
- Indexing and chunking over private document stores
- Retrieval evaluation: relevance, coverage, and citation accuracy against your benchmarks
- Query routing across sources and access-controlled retrieval
- Citations and traceability for every answer
- Operations runbooks and a path to managed operations
Scoping identifies sources, access rules, and evaluation criteria. Build indexes, tune retrieval, and integrate with your agents or interfaces. Timeline sized to data volume and integration depth.
Case studies are sector-anonymized until naming permissions are confirmed.
Start with the assessment.
A fixed-scope AI readiness assessment: your workflows, your data, your highest-ROI agent use cases, and a deployment roadmap. Two to four weeks.