The boundary is the product
Most vendors bolt privacy on after the fact. We designed the data boundary first and built the product around it. Identifiable data never leaving your building isn't a setting — it's the architecture.
Enterprise-grade data guarantees
Built for teams that can't afford a leak — AI-native data & workflow products, boundary-first.
Cinnabar turns messy, sensitive records into analysis-ready data — with data guarantees strong enough to say out loud in a compliance review.
Identifiable data Processed offline, in your building
de-identification enforced
AWS · signed BAA De-identified data only
◆ On-site & offline processing ◆ Enforced de-identification ◆ Cloud AI under a signed BAA
How it works
Sensitive in. Analysis-ready out. Nothing raw in between.
Three stages, one hard boundary. Identifiable data stays home; only de-identified data ever moves.
- 01
On-site ingestion
Your identifiable records are read and processed where they already live — on your hardware, inside your building, offline. Nothing raw is uploaded, mirrored, or cached off-premises.
- 02
Enforced de-identification
Identifiers are stripped and transformed before anything crosses the boundary. De-identification isn't a policy we ask you to trust — it's a gate the pipeline physically passes through.
- 03
Analysis-ready data
What comes out is clean, structured, and ready for AI. Cloud models only ever see de-identified data, so you get modern analytics without the exposure that usually comes with it.
Why us
Your data's safety is built into the architecture — not promised on top.
Anyone can promise to be careful. We built a product where the careful thing is the only thing it can do.
Guarantees you can say out loud
Claims specific enough to survive a compliance review, not marketing softeners. We put the exact commitments in writing so your security team can read them before you ever sign.
Read the guarantees →Cloud AI under a signed BAA
When de-identified data does reach the cloud, it's processed under a signed AWS Business Associate Agreement — a contractual floor beneath the technical controls, not a substitute for them.
AI-native, not AI-flavored
Built from the ground up for modern models and the messy, sensitive records they choke on. The workflow is the point — turning locked-away records into data teams can actually use.
Bring us the records nobody wants to touch.
If you're sitting on sensitive data you can't safely put in front of a model, that's exactly the problem Cinnabar was built for. Get it right once and that data stops being a liability you manage and becomes an advantage you build on — the analytics and automation it was always meant to power. Tell us what you're working with.