AI privacy and PII maskingfor industrial teams that still need speed.
sanitai masks personal data and sensitive business identifiers before model calls, applies governance policy, supports secure retrieval, and restores usable context locally when policy allows it.
Useful outputs withoutuncontrolled exposure.
sanitai stays practical because governance and product utility are designed together. The system protects identifiers without turning AI adoption into a manual process.
Policy decisioning
Every prompt, document, and provider response is evaluated against an explicit policy model before a model call is allowed. sanitai decides whether content can be sent as-is, masked first, kept local, or blocked entirely.
Sanitized retrieval
Documents are sanitized before ingestion so the retrieval layer never indexes raw protected identifiers. Query linking and local rehydration keep answers usable without widening the trust boundary.
Operator review lab
Operators can replay traces, inspect provider behavior, and test policies in a controlled environment without turning internal experiments into a production-facing surface.
Paste your text.Watch the safe version appear live.
Visitors can test SanitAI with their own text, run a real sanitization request, and watch the protected output stream in before copying or reviewing it. The public demo is still being refined and currently supports French and English only.
The protected version appears here, token by token, as soon as you start the sanitization flow.
This experience focuses on the transformation itself. The output represents what can cross the trust boundary without exposing raw values.
Bring governed AI intoreal industrial workflows.
We are working with a small set of industrial teams that need AI assistance without letting supplier, quality, or engineering identifiers leak outside their control plane.
Or write directly to [email protected]
Built for teams that cannot treat model calls as ordinary API calls.
Supplier operations, quality teams, engineering reviewers, and governance functions all need the same promise: external models do not see raw protected identifiers unless policy explicitly allows it.
Protect account ownership, supplier contacts, and commercial identifiers while still using external models for summaries and triage.
Review incident narratives, lot references, and escalation records without pushing raw identifiers outside the boundary.
Keep the line between safe operational assistance and blocked process know-how explicit and enforceable.
Separate content that can be masked and routed from content that must remain local because the secret lives in the method itself.