AI for health workflows, built privacy-first.
Intake triage, clinical summarisation and governed data pipelines — designed around the privacy, safety and audit requirements that healthcare demands before anything ships.
Healthcare has the hardest gate and the least tolerance for error, so we start from governance: data minimisation, access controls, audit logging and clear boundaries on what the AI is allowed to decide versus surface to a clinician.
Within those boundaries there’s real, safe value — summarising notes, triaging intake, structuring unstructured records and cleaning the data pipelines that everything downstream depends on.
Capabilities
Intake triage
Structured triage that routes and prioritises while keeping clinicians in the loop.
Clinical summarisation
Condense notes and histories into accurate, reviewable summaries with sources.
Data pipelines
Clean, governed ingestion and structuring of messy clinical and operational data.
Privacy & audit controls
Minimisation, RBAC, encryption and logging designed in, not bolted on.
Patient-facing assistants
Safe, bounded assistants for administrative and informational tasks.
Ops automation
Reduce administrative load across scheduling, records and back-office flow.
Typical use cases
- Clinicians lose hours to documentation and note-writing
- Intake is manual, slow and inconsistently prioritised
- Critical data is locked in unstructured records
- Back-office admin scales linearly with patient volume
Outcomes we target
- Less time on documentation, more on care
- Faster, more consistent intake and triage
- Structured, usable data from previously unusable records
- A privacy and audit posture you can put in front of a review
Are you HIPAA-ready?
We build to healthcare privacy and security expectations — minimisation, access controls, encryption and audit logging — and can operate under a BAA and DPA. Tell us your specific regulatory scope and we’ll confirm exactly what we can support today.
Does the AI make clinical decisions?
No. Our health builds surface information and structure data for clinicians; consequential decisions stay with qualified humans, with the AI’s sources always visible.
Can you deploy in our environment?
Yes — in your VPC or cloud, so sensitive data never has to leave your control.
Have a health tech ai problem worth solving?
Tell us what’s slow, risky or manual. We’ll come back with an approach, timeline and budget.