A patient's history,
as a set of verified facts.

The unit of truth is a frame.

Every fact Dasyante extracts is a finding frame: what was found, where, how large, and how it changed — each slot filled from the report itself. A frame is not allowed to exist without its anchor: the verbatim sentence it came from, quoted in full.

• Structured slots — finding, site, laterality, size, change, assertion.
• A mandatory anchor — the exact source sentence, verbatim.
• No orphans — if the sentence doesn't support the fact, the fact is discarded. There is no third option.

Frames become tracks. Tracks become the disease.

A single report describes a moment. Dasyante links frames across reports — the same lesion, followed through every scan across years — into a track: the trajectory of one finding over time. Read the tracks together and you are reading the disease itself: what appeared, what grew, what responded, what came back.

Built to be checked, not believed.

The clinician workspace shows every track beside its evidence. Verified facts are green. Anything awaiting clinician judgment is clay — and stays clay until a human clears it. One click takes you from any fact to the exact sentence in the exact report it came from. Review is the product working as designed, not the product failing.

Every fact carries its receipts.

Each frame records where it came from, which rules verified it, who reviewed it, and when. The full chain — report to sentence to fact to track — is exportable and inspectable. When a regulator, a tumor board, or a court asks "why does the system say this?", the answer is a citation, not a shrug.

Your patients' data never needs to leave.

Dasyante deploys inside your perimeter — on-premise or in your own cloud. It is model-agnostic: bring the language model your institution permits, today or after the next procurement cycle. Built for DPDP compliance and aligned with the EU AI Act's expectations for high-risk clinical systems: logged, traceable, human-overseen.

• On-premise or your own cloud — data stays inside the institution.
• Model-agnostic — run any LLM, swap it freely, no lock-in.
• Compliance-aligned — DPDP and the EU AI Act, from day one.