Trust is the product.
Operating at the dangerous end of healthcare means our guardrails are written into the company, not bolted on. This is how a clinical AI company earns the right to be on the ward.
Our guardrails
Written into the company, not bolted on.
- 1
No suicide-prediction claims
The evidence does not support individual prediction. We position risk tools honestly, as observation prioritisation with human oversight.
- 2
Human-in-the-loop, always
Every clinical output has a named clinician who acts. The AI never acts autonomously.
- 3
Equity is a release criterion
No model ships without a bias audit across ethnicity, age and language; the system already fails these groups most.
- 4
Evidence before scale
We validate clinical claims through prospective evaluation with academic partners before we scale them.
Our approach
How we earn the right to scale a clinical claim.
Every deployment is instrumented for outcomes and feeds a published evidence base. We validate before we scale.
- 01
Integrate
Theramentia connects to your electronic patient record via FHIR/HL7, with full information-governance and clinical-safety sign-off before a single patient record is touched.
- 02
Surface and support
The platform reads the data already being captured, surfaces safety signals and capacity insight, and presents them to clinicians, who always make the decision.
- 03
Measure and prove
Every deployment is instrumented for outcomes (safety incidents, out-of-area bed-days, clinician time released), feeding our published evidence base.
Want to see the evidence approach in detail?
We are happy to walk clinical and information-governance teams through our safety case, evaluation design and governance.