Notes that steal the encounter
Clinicians type through the visit. The record is late, thin, or copied forward.
Industry Practice
Health
Assist the clinician. Never replace judgement.
Field Context
The work on the floor
Health systems are drowning in documentation, handoffs, and idle capacity. We build assistive AI for clinical and operational work — always reviewed, always grounded in local protocol, never a silent decision-maker.
What we hear
The constraints we are hired to remove.
Flow nobody can see
Beds, theatres, imaging, and pharmacy each optimise locally. The patient waits in the gaps.
Imaging and triage queues
Worklists are chronological. Urgency is not. Nights and weekends make it worse.
What we build
Systems, not a catalogue of models.
Documentation assistance
Draft notes and coding suggestions from encounter audio or existing text, in the hospital’s own templates, with a human in the loop.
Care-pathway orchestration
Bed, theatre, and diagnostic flow that flags the next bottleneck — not another command-centre wall of TVs.
Worklist prioritisation
Imaging and reporting queues ordered by clinical risk, with an audit trail a medical director can defend.
Operational copilots
Pharmacy, billing, and admin assistants grounded in policy. They retrieve and draft. They do not invent entitlement.
If it is working
What a good engagement looks like from the inside.
- Return minutes of the encounter to the clinician
- Make patient flow a managed system, not a corridor problem
- Surface the study that should be read next
- Keep a human accountable for every clinical output
Also in the practice
Start a conversation
Tell us about the operation you want to improve.
A plant, a banner, a brand, a pathway. We will tell you honestly whether AI is the right lever — and what it would take to put it in production.