Technology for care that can't wait on signal, time, or paperwork after the fact.
In acute and emergency care, technology has to keep working when the environment is loud, time is short, and the connection isn't stable. That's why we build our architecture for real clinical conditions from day one — offline processing, structured data, human-in-the-loop, and interoperable interfaces.
Offline processing. Structured data. Human-in-the-loop. Interoperable interfaces.
Offline speech-to-structure
Our AI isn't a speech-to-text system: it maps spoken clinical information to structured fields and events — processed on the device, so it keeps working without a stable connection.
Human-in-the-loop
AI-generated information is validated by crews before it reaches the record or any downstream system — clinically relevant content never goes through unreviewed.
MedTech integration
Vitals and other available device data feed directly into the documentation workflow, cutting manual double-entry and giving you a more consistent dataset.
Interoperability
HL7/FHIR and defined interfaces connect to the hospital, EMS, and documentation systems you already run. The live data stream is also available through a secure web interface, even without direct EHR integration.
Privacy and security are architecture decisions.
Processing sensitive health data demands an architecture where privacy and security aren't bolted on afterwards. On-device processing, encrypted transmission, and organisation-specific environments are part of our technical foundation from the start. What data leaves the device, when it's transmitted, and which systems receive it is defined by each deployment's implementation and permission model.
AI processing stays local
Speech capture and structuring can run entirely on the device — raw data never has to leave it.
Encrypted wherever data moves
Any transmission — like the live stream to a receiving hospital — runs over an encrypted connection.
We fit technology to clinical workflows — not the other way around.
Our technology comes out of real workflows. Requirements are gathered together with healthcare professionals, built as prototypes, and evaluated under realistic conditions. That's where features that actually hold up in clinical practice come from.
Want to know how this fits your systems?
Let's walk through how HL7/FHIR, the admin portal, and our data flows would sit alongside what you already run.