Lab numbers cannot be hallucinated
Values are extracted from the source report by a deterministic layer, separate from the reasoning engine. Chiron may interpret a value; it cannot invent a digit.
Chiron gathers the record, reads the labs, checks safety, reasons the differential, and drafts assessment, plan and orders for your signature. Every tool-call is visible, the reasoning streams as it happens, and nothing enters the chart until a physician attests it.
Generally available since September 24, 2025 · For hospitals, clinics and health-sciences institutions · Powered by Eve-Healthcare™ F5/reasoner
Generally available since September 24, 2025, with the capability inventory published in full — for people and for machines.
The encounter is not a form to fill. You state the intent; Chiron builds and runs a live plan, calls the tools it needs, and narrates its reasoning as it goes. Every artifact lands as a draft for your signature.

Must review before final
Decision-support output. Clinician review and attestation required before this content is signed into the chart.
Work up Ms. Okafor — 62 F, fatigue and exertional dyspnea, three weeks.
Chiron’s plan
Gather the record
read_record()
Read the labs
search_labs()
Check safety
drug_interactions()
Reason the differential
Draft assessment, plan, and orders for attestation
Anemia and early heart failure both fit the fatigue and exertional dyspnea. The low hemoglobin on this panel and a normal BNP shift weight toward a work-up for anemia first, but cardiac cannot be excluded on this data — recommending a BNP repeat and iron studies before
Visible, named tool-calls
Chiron does not reason in a black box. It works through seventeen tenant-scoped, audited, approval-gated tools, and shows you each call as it makes it.
The four tools that anchor an encounter →Causal reasoning over the presenting features, ranked on a six-tier confidence scale with Bayesian percentages. “Cannot exclude” is a first-class state when the data is insufficient, not a forced guess.

The hard part of clinical AI is not producing an answer — it is producing one a physician can trust and a regulator can inspect. These are in the code path, not in a policy.

Values are extracted from the source report by a deterministic layer, separate from the reasoning engine. Chiron may interpret a value; it cannot invent a digit.
A database trigger blocks edits and deletes — even by the record’s owner — so the trail is tamper-evident by construction.
The AB 3030 disclosure and the must-review-before-final gate are enforced on the server. A client cannot dismiss its way past either.
The specialty routes, in depth
Each row says which reader it is written for.
For the people who sign
The must-review-before-final gate and the AB 3030 disclosure are enforced on the server; a client cannot dismiss its way past either. The audit trail is append-only at the database layer.
How the gate is enforced →For the people who sign
Row-level tenant isolation, AES-256 on sensitive fields, PHI de-identified in the reasoning pipeline, and no path to a training pipeline.
Read the control set →For the people who use it
Pre-visit interviews done before patient one. Labs read against critical-value cutoffs. Differentials reasoned in front of you rather than returned from a spinner.
See your day with CDS →For the people who use it
A five-pass structured read with explicit cognitive-bias counter-measures across around thirty-five named frameworks. Candidate impressions arrive as drafts.
See the radiology route →Sold to institutions rather than seat-by-seat, so there is no list price to publish. What is published: what the charge is based on, what is included at every size, and how to get a number.
See what shapes a quoteFusion of five cooperating reasoning models, augmented by a dedicated vision model, composed per request. Your patient’s data stays in your tenant and never enters a training pipeline. When a new frontier model lands we swap the slot; the classifier and the Eve-Genesis-tuned clinical reasoner stay stable.
Tell us the workflow you want to see and who needs to be in the room. A member of our clinical and engineering team replies within two business days to arrange it — a real person, not a sequence.
Talk to our team →What happens after you send it
Prefer to talk now? +1 (949) 200-8668, or email hello@mindhyve.ai.