Quick summary
- Keep data inside (On‑Prem/Private) and make enterprise AI real
- A domain-aware enterprise AI assistant with control and auditability
- From requirements to verifiable delivery: controlled, traceable, acceptable
Recommended inputs (before we start)
- Content sources overview (website/CMS/docs/knowledge base) — no confidential files needed
- Identity & access constraints (SSO / RBAC)
- Primary use cases
- Risk boundaries (what must be blocked/reviewed)
- Success metrics (30/60/90 days)
Start with a high-level overview; we can proceed with NDA when deeper details are needed.
Leave your info (3–5 minutes)
We’ll respond with an evaluation, rollout plan, and next steps based on your constraints.
FAQ
Do we have to be on‑prem?
Not always. If you have strict security/regulatory/data sovereignty requirements, On‑Prem/Private is often the safest path to production.
How do you reduce hallucinations and risk?
We combine citations, governance rules, human review (HITL), and regression tests to make behavior auditable and verifiable.
Do we need to change our existing systems?
We aim for minimal disruption: connect content and access first, then optionally integrate outputs back via API/Webhook.