Solutions · Understand
Answers from your documents, grounded and contained.
A knowledge base is only useful if people trust the answers and the organisation trusts the boundary. Public chat assistants offer neither: they cannot cite your documents, and reaching them means sending those documents away.
The problem
The knowledge is yours; the assistants that read it are not.
Most of an organisation's value sits in documents nobody can find quickly: precedent, policy, prior advice, technical reports. A cloud assistant that could search them would first have to receive them — every file, uploaded to someone else's model.
That trade is unacceptable for regulated work. It also produces answers you cannot check, because a general model blends your content with whatever it already remembers. A useful knowledge base must stay inside the building and show its sources.
Our solution
Retrieval and generation, both on your side of the wall.
Electric Azimuth indexes your documents on your hardware and answers questions against that index with an on-premise model. Each answer cites the passages it used, respects the access rights already in place, and draws on nothing outside your corpus. People get answers they can verify; the organisation keeps a boundary it never crosses.
Key features
Answers with citations
Every answer points to the source documents it drew from, so the reader can verify rather than trust.
Your corpus only
The system reasons over your documents and nothing else. There is no public model recall to leak into answers.
Permission-aware
Results respect existing access rights. A user sees only what they are already entitled to see.
No data egress
Indexing, retrieval, and generation all run on your hardware. Documents are never sent out to be embedded.
Always current
Add or revoke a document and the index updates. Answers reflect the corpus as it stands today.
Audit of queries
Who asked what, and which sources answered, is logged for governance and review.
Use cases
Where it earns its place.
Ask precedent, matter history, and know-how questions across the firm without exposing client files to an external model.
Give clinicians and administrators fast answers from policies and guidance held entirely within the trust.
Surface answers from product terms, policy, and prior advice while keeping client and market-sensitive data inside the firm.
Search decades of technical reports and specifications without trade secrets reaching a third-party service.
Technical overview
Specifics for the people who will run it.
- Retrieval
- Local embeddings and a local vector index; no document is sent out to be embedded.
- Model
- An on-premise language model generates answers grounded in retrieved passages.
- Sources
- Office files, PDFs, intranet exports, and structured records, ingested on a schedule.
- Access control
- Integrates with your existing permissions so answers respect entitlements.
- Deployment
- Server or cluster sized to corpus volume and concurrent users.
- Connectivity
- None required. Indexing and inference run inside your boundary.
Index a sample of your corpus and ask it questions.
A scoped pilot stands the knowledge base up against a defined document set so you can judge the answers — and the boundary — for yourself.