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Incident AI in the field
Incident reporting

Incident AI

Voice-driven, multilingual incident reporting that turns what the field says into structured safety intelligence - on the dashboard in seconds, not after the shift.

RealWear ARIAvailable on RealWear ARI
0
Forms to fill
Any
Language in
Offline
Capture, syncs on reconnect
3
Platforms: RealWear, iOS, Android
What it does

Built for how the work really happens.

Voice to structured

Workers report in their own words; multilingual NLP structures it into corporate data fields.

Any language in

No literacy or language barrier to reporting - detected and normalised to your standard.

Evidence & GPS

Every report GPS-tagged with photo evidence, queued offline and synced with full integrity.

Voice becomes intelligence

From spoken word to structured record

Workers report in their own language; multilingual NLP structures it into corporate data fields with GPS and photo evidence attached - on the dashboard in seconds.

Multilingual capture with no literacy barrier
SSO-secured dashboard with filtering and export
Reports queue offline and sync with full integrity
From spoken word to structured record
From spoken word to structured record
Safety intelligence

See the pattern, not just the report

Individual reports become operational safety intelligence - live dashboards show trends by site, type and severity, ready for HSE review and structured export.

Trends by site, incident type and severity
GPS tag and photo evidence attached to every report
Structured exports into your HSE and BI systems
From reports to safety intelligence
Safety intelligence dashboard review
The product, running

From spoken Urdu to a structured English record.

Incident AI bilingual safety observation report
Incident AI - safety observation report · demo data
Incident AI reports dashboard with redacted names
The dashboard your HSE team sees - names redacted · demo environment
How it works

How Incident AI works.

1

Capture

A worker speaks or types the report - any language, offline-capable.

2

Interpret

NLP structures type, severity and asset; GPS and photo evidence attach.

3

Review

A responsible person reviews and approves the record.

4

Route

The record enters your approved workflow and systems.

5

Analyze

Dashboards show trends by site, type and severity.

Inputs

Voice, text, images, location and asset context where approved.

Outputs

Structured incident record, evidence package, classifications, workflow handoff.

See it in your sector: Oil, Gas & Energy  ·  Offshore & Maritime
Proof

Built for how incident reporting really happens.

0
Forms to fill - reports are spoken
Any
Language in, one schema out
Offline
Capture, syncs on reconnect
GPS + photo
Evidence on every report
Get the app

Primary platform: RealWear. Also on mobile.

Built first for hands-free RealWear field work - and available on iOS and Android for phones and tablets.

Our RealWear partnership
RealWear ARIDownload on the App StoreGet it on Google PlayStore links activate at launch.
Common questions

What HSE directors ask first.

Is Incident AI available on mobile?

Yes. Incident AI is built first for hands-free RealWear devices, and is also available on iOS and Android for phones and tablets - the same structured reporting, on the device the situation calls for.

Which languages can workers report in?

Workers speak in their own language; the NLP layer normalises reports into your corporate schema. Language coverage is confirmed against your workforce profile during scoping.

Where does our data live?

Your choice of boundary: our Azure tenancy, your Azure tenancy, or fully on-premises - with SSO and Active Directory in every case.

Does it work without connectivity?

Yes. Reports queue on the device and sync with full integrity the moment a connection returns - nothing is lost in the field.

What does Incident AI integrate with?

Incident AI exports structured records into HSE, CMMS and BI systems, and Applivity engineers integrations with SAP, Oracle or any backend as part of deployment.

Who reviews AI-structured records?

A responsible user reviews and approves every Incident AI record before it enters the workflow - AI assists the structuring; people own the decisions.

The rest of the suite

One connected platform across every product.

Next step

See Incident AI running.

A 25-minute demo on real hardware, mapped to your operation.