Knowledge ingestion
Parse, normalize, classify, and continuously synchronize documents and structured sources.
Grounded answers with citations
Enterprise RAG and Knowledge Retrieval
Permission-aware retrieval systems that connect AI assistants and agents to approved company knowledge with citations, evaluation, and source-level traceability.
Business outcomes
Faster access to approved answers
Citations back to source material
Access controls preserved during retrieval
Measured retrieval and answer quality
What we deliver
Hybrid retrieval
Combine lexical, vector, metadata, graph, and reranking techniques for each use case.
Grounding controls
Require evidence, detect insufficient context, and route uncertain answers for review.
RAG evaluation
Track retrieval coverage, relevance, faithfulness, citation accuracy, and answer usefulness.
Typical integrations
SharePointGoogle DriveConfluenceNotionS3PostgreSQLQdrantPinecone
Frequently asked questions
How does an engagement start?
We begin with a feasibility audit that maps the workflow, systems, data, risks, and measurable acceptance criteria before implementation.
Can you work with our existing systems?
Yes. We integrate through supported APIs, secure service accounts, event streams, and approved browser automation when an API is unavailable.
How do you protect company data?
We design least-privilege access, encryption, audit logs, retention controls, human approvals, and private-cloud or on-premises deployment where required.
Start with a bounded, measurable workflow
We will map feasibility, risk, cost, and the fastest responsible path to production.