Clinicians and engineers, one small team.
Cliro is built by allied-health clinicians and product engineers who have spent years inside clinical software and its gaps — across clinical practice, applied AI, and health-system engineering.
Three crafts, one room: clinical, product, engineering.
Principles that shape every decision.
Clinicians and engineers sit together. Decisions are made with both perspectives in the room — never one translating for the other.
We design with practising clinicians, in real settings, against real sessions. Not against synthetic personas or boardroom workflows.
The AI drafts notes, highlights findings, and organises the record. Clinicians make every decision. The clinician's signature stays on the record.
We optimise for the calm of a clinical day. Fewer tabs, fewer prompts, fewer surprises.
Clinic owner and clinician. Runs the working rehabilitation practice the engine is built inside — every feature lands on real clinical days first.
Speech pathologist and clinical academic. Leads the validation research program and the clinical method behind every assessment the system proposes.
Product engineer in applied AI. Builds the engine, the record, and the architecture that keeps every clinical decision human.
The engine is built inside a working rehabilitation practice — run on real session recordings with identifying details removed — with the clinicians who use it, not imagined users.
Clinical operations partner behind the co-build — grounding Cliro's roadmap in how allied-health services actually run.
validation studies with university clinical researchers are underway · partners named once agreements are signed
We are deliberately small. Every person on the team is close to the work, close to the clinicians who use it, and close to the patients it ultimately serves.
If you are a clinician, researcher, or engineer who wants to be part of building this — we would like to hear from you.
Clinicians and engineers, talk to us.
We are hiring slowly and intentionally. Roles open across clinical advisory, product engineering, and applied AI.