Offline, on-device AI for public safety: emergency medical services, fire and rescue, police and defense. What changes from one service to the next is the configuration, never the architecture.
Emergency Medical Services
Ambulance, PIT, SMUR
The crew talks and works; the on-device AI does the rest. On every mission:
Hands stay on the patient; nothing to type mid-intervention.
Live scores and early deterioration alerts, at the point of care.
The emergency department is ready before arrival.
Everything arrives at the handover, captured as it happened.
The report is done with the mission; the crew is back in service faster.
Other frontlines
The same architecture will adapt to each service: the vocabulary it listens for, the protocols it runs, the report it produces. Tell us about your context.
HEMS
Noise, vibration and gloves, where screens fail first: the same hands-free capture, the same structured record at the trauma bay doors.
Fire & Rescue
Incident grounds are offline by definition: command will keep one live picture of the scene, and casualties will reach the medical chain with a record it can act on.
Police
Medical incidents in custody or on operations will get a precise, defensible timeline, produced as events happen, while officers stay engaged with the situation.
Defense
Emission-free and network-independent by design: care under fire will be documented hands-free, and the record will travel with the casualty to the next echelon.
Platform
One architecture
100% on-device, no network, no cloud dependency
On-device AI
Speech recognition and reasoning run locally; no cloud inference
Languages
FR, NL, DE, EN, and 40+ more understood
Data posture
GDPR-native: data never leaves the device without authorization
See it live, on your cases.
45 minutes, nothing to prepare, nothing touches your systems.