Jurisdiction-specific, site-aware, audit-ready AI
Every answer is jurisdiction-specific, site-aware, evidence-backed, confidence-scored, and audit-ready. CalibrAIte defers when uncertain, cites when confident, and escalates when stakes are high.
Projected savings: $500,000+ per site per year
Based on industry benchmarks for WA mine sites. We measure these metrics during every pilot to validate site-specific ROI.
At $60–180K/year, CalibrAIte costs a fraction of what it prevents.
Risk Avoidance
How CalibrAIte compares
| Feature | CalibrAIte | SafetyCulture | Cority/INX | Generic AI |
|---|---|---|---|---|
| WA regulation calibration | Full DMPE corpus, cited answers | Generic compliance templates | Configurable but not pre-built | No jurisdiction awareness |
| Site-specific AI reasoning | 3-layer model (regulation + company + site) | No site-level AI | No AI reasoning | No site context |
| Confidence scoring & refusal | Yes — defers when uncertain | No | No | No — hallucinates confidently |
| Evidence citations | Every answer cites specific regulation | No | No | No |
| Implementation time | Under 1 week | 2–4 weeks | 6–12 months | N/A |
| Incident report AI assist | AI classifies, matches reg, pre-fills form | Digital forms, no AI classification | Digital forms, manual classification | Hallucinates procedures |
| Audit-ready evidence trail | Full chain: input → AI reasoning → cited output | Inspection records | Document storage | No audit trail |
| Data moat over time | Accumulating site-specific intelligence | No | No | No |
A moat that deepens with time
More sites → More incident data → Smarter model → Better predictions → More sites.
After 12 months across multiple sites, CalibrAIte possesses the largest dataset of structured mine safety incidents in WA. A new competitor would need 2–3 years to reach equivalent capability.
Expansion Roadmap
WA Mining Safety
DMPE regulations
Oil and Gas
NOPSEMA regulations — Woodside, Santos, Chevron, all Perth-based
National Expansion
QLD, NSW, SA, NT — each state = new Layer 1 dataset
International
Canada, Chile, South Africa. Australia = 74% of global mining AI adoption.