Industries · Healthcare
Clinical AI needs clinical reviewers, in the language the consultation actually happens in.
Health systems differ in terminology, drug availability, protocol and how patients describe symptoms. Evaluation by generalists cannot establish whether output is clinically sound, and a fluent wrong answer is more dangerous here than almost anywhere else.
Where it breaks
Common failure modes.
- Terminology and protocols that differ by health system
- Symptom descriptions in local languages and idiom
- Drug names and availability that vary by market
- Confident output that is clinically incorrect
What we do
How we work in healthcare.
01
Clinical evaluation
Output reviewed by practising healthcare professionals.
02
Domain data
Structured clinical and patient-facing data with appropriate consent.
03
Safety testing
Probing for harmful or misleading guidance in local context.
04
Language coverage
Consultation language handled properly, not just English.
Other industries
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