Give your crews back the minutes documentation takes from patient care.

Developed with paramedics, flight nurses, and emergency physicians — not just software engineers.

The problem every crew knows

By the time the report gets written, half of it is already memory.

In prehospital and emergency care, the details that matter most appear in seconds — a change in vitals, an intervention, a handover detail. Crews are trained to act on them immediately. Most are still expected to write them down later, from memory, once the mission is over.

Hours lost to paperwork

Time that should go to rest, turnaround, or the next call gets spent re-entering the same information by hand.

Memory under pressure

Exact times, doses, and details have to be held in someone's head through the most demanding part of the shift.

Details that don't survive the mission

What gets written an hour later is rarely as precise as what actually happened.

A hospital flying blind

The receiving team often learns the full picture only when the patient is wheeled through the door.

Data nobody can use

Handwritten or freeform notes can't feed quality reviews or registries without someone re-typing them first.

Information that stops at the door

What your crew learns in the field rarely makes it cleanly to the next team, the next shift, or the next review.

How we're rethinking documentation

We didn't digitize documentation. We rethought how it gets created.

What's said and done during a mission has, until now, only turned into structured data through heavy manual effort — if at all. NoxAvis uses AI to do exactly that: it recognizes speech, actions, and timing as care happens, and turns it into structured, clinically usable documentation in real time. One continuous record instead of five separate systems, staying under your organisation's control the whole way.

Runs fully offline, on the device
Speech
Device data
Manual input

AI analysis

Recognizes and interprets what's said and done as care happens.

Structure

Turned into structured, time-accurate clinical data fields.

Validate

Reviewed and confirmed by the healthcare professional.

Hand off

Sent on to the organisation that needs it next.

Capture, AI analysis, structuring, and validation need no connection — everything syncs to the receiving organisation automatically once a connection is available.

How we build

We design around how your crew actually works, not how a demo looks.

NoxAvis starts with real missions and real workflows, then builds the software to fit them. Configurability and usability aren't add-ons — they're the parts of the product we ship first.

Built around your operations

Screens and workflows follow how your crews actually run missions, not a generic template.

Configured to your organisation

Medication lists and organisational settings are already manageable per site, today.

Usable under real pressure

If it doesn't work with gloves on, in a moving vehicle, over rotor noise — we don't ship it.

Shaped by crew feedback

Features move from field feedback into the product roadmap — we don't promise what isn't built yet.

Tested with real crews, on real missions.

70+

healthcare professionals

~100

real-world missions

82.2

System Usability Scale

65%

less documentation time

40%

fewer handover errors

From documentation to insight

Better records don't just document care. They make it easier to improve.

Once your data is structured and precisely timed, it can work harder than a single mission report — with your approvals and under your governance.

Care

Handover

Quality

Research

Training

Quality management

Spot process deviations and recurring patterns early, with concrete starting points for improvement instead of a stack of PDFs.

Research & registries

Feed structured data into the registries and studies your organisation already contributes to, without manual re-entry.

Training & development

See where training would actually move the needle, based on what happened in real missions, wherever data protection allows it.

Organisational development

Aggregated trends can inform staffing, training, and process decisions — a capability we're building toward, not a claim of automation today.

Collaboration

Development needs clinical reality.

BMWETawsKWFFH KärntenFH St. PöltenMedizinische Universität GrazARA FlugrettungIEHBuild
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