Verification layer for medical AI
Medical answers your AI can stand behind.
Sequitas checks medical claims against a corpus that practising physicians have reviewed and signed. Point your existing models and applications at it, and what they tell people can be traced back to a name.
01
Signed, not scraped
Every fact in our corpus carries the physician who verified it and the date they did. A claim is not a fact here until a clinician puts their name to it.
02
Built to sit alongside your stack
Reach it from an API or the command line. Nothing to migrate, no model to replace — it checks and grounds the systems you already run.
03
Answers that carry their sources
Responses return provenance, not just conclusions. You can show where an answer came from, and who stands behind it.
Why this exists
General-purpose models are confident about medicine whether or not they are right.
That is tolerable when the subject is trivia. It is not tolerable when a patient, a clinician or a regulator is on the other end. The gap is not reasoning — it is the absence of a source anyone is accountable for.
We are building the layer that closes it.
Who we work with
- Teams building clinical or patient-facing AI
- Health platforms that need answers they can defend
- Organizations under a duty to show their work
Limited pilot
We are taking on a small number of pilot partners.
Tell us a little about what you are building. We will be in touch as places open up.