HOW IT WORKS

From generic AI to YOUR safety platform in 7 days

CalibrAIte doesn't just know DMPE regulations — it learns your site, your hazards, your language, and gets smarter every day.

The Calibration Process

Five steps from generic AI to a platform that knows your operation inside out.

01

DMPE Foundation

We start with every WA mining safety regulation already loaded. The Mines Safety and Inspection Act 1994, all 14 Parts of the Regulations, every Guidance Note, every Safety Alert. This is the baseline — 1,200+ documents indexed and queryable from day one.

02

Your Incident History

We ingest your past incident data — every report, every near-miss, every equipment fault. The AI learns what types of incidents happen at YOUR site, in YOUR pits, on YOUR shifts. It stops being generic and starts understanding your operation.

03

Site-Specific Configuration

Every mine is different. We configure the AI with your site management plan, your hazard register, your specific procedures. When a worker asks what PPE they need for Pit 3 — the answer is calibrated to Pit 3, not a generic regulation quote.

04

Language Adaptation

If your team calls it a bogger instead of an LHD, the AI understands that. It adapts to how your people actually talk, your abbreviations, your site terminology. No training required — it just works.

05

Continuous Learning

Every interaction makes it smarter. Every incident reported, every query answered, every form generated adds data. The AI identifies patterns unique to your operation and improves predictions over time. The longer you use it, the better it gets.

The First Week

From kickoff to live platform — here's what happens.

1

Day 1-2

We connect to your systems and ingest your incident history, hazard register, and site management plan.

2

Day 3-4

AI model is calibrated to your site. Custom terminology mapped. Initial compliance baseline established.

3

Day 5

Platform goes live. Your safety team gets a walkthrough. Workers can start reporting immediately.

4

Day 6-7

First real incidents processed. AI accuracy benchmarked. Adjustments made based on team feedback.

Before vs After

BEFORE
  • Incident reports take 45+ minutes
  • Safety questions go unanswered for hours
  • DMPE forms filled manually with errors
  • Incident patterns invisible until audit
  • New workers get generic safety inductions
  • Monthly reports take days to compile
AFTER
  • Incident reports in under 3 minutes
  • Cited answers in under 2 seconds
  • DMPE forms auto-generated, zero missing fields
  • Patterns flagged in real-time before injuries occur
  • Site-specific onboarding calibrated to each role
  • Monthly reports generated automatically

What Data We Use

Four categories of site data that make CalibrAIte yours.

Incident Reports

Past incidents, near-misses, equipment faults, hazard reports

Site Documentation

Site management plan, hazard register, standard procedures, permits

Workforce Data

Roles, shift patterns, training records, competency matrices

Operational Context

Equipment fleet, pit layouts, seasonal conditions, weather patterns

The Feedback Loop

Report
AI Processes
Output Generated
Team Uses
Data Fed Back
AI Improves
Better Predictions
Fewer Incidents

Most safety software is static — it works the same on day 1 as day 365. CalibrAIte gets measurably better every month because every interaction teaches it more about your specific operation.

Start your free 30-day pilot

We configure everything in under a week.

Test Pilot