Investigate incidents, assure your safety system, and strengthen critical controls. One human-led AI suite, with outputs your team can review and trace to their sources.
After the 1994 Moura No 2 disaster, Australian mining rebuilt how it manages risk, with structured investigations, critical controls and legislated safety and health management systems. Between 2003 and 2013, its fatality rate fell by 73%.
Those workflows are proven. What holds them back now is the effort of running them well, with fatigue, turnover and fewer people on site. MineGuard AI runs these proven workflows AI-natively, so any heavy-industry operation can apply mining-grade rigour without additional resources, and people on site can spend more of their time on proactive safety instead of reactive work.
From 12.4 to 3.4 fatalities per 100,000 workers (2003–2013). Progress has stalled since. University of Queensland, 2024
Built by people who have done the job
Ekin Eraydin
Founder & Director, MineGuard AI
15+ years mine operations leadership (NSW/QLD)
Cem Caglar
Technical Director, MineGuard AI
20+ years enterprise software delivery
Christian Young
Safety & Change Advisor
25+ years resources HSE leadership
MineGuard AI is designed for the teams responsible for keeping people safe in heavy industry, where the consequences of poor decisions are severe, evidence integrity is non-negotiable, and accountability cannot be delegated.
Under shift pressure, investigation quality varies wildly. Rushed reports miss root causes and leave organisations exposed to repeat incidents and regulatory scrutiny.
Solved with
Incident AIFaster, higher-quality investigations.
Reduce investigation cycle time, raise report quality across experience levels, and produce findings that hold up under regulatory review.
Witness statements, photos, physical logs, and system records live in separate tools, making it hard to build a coherent, defensible evidence picture.
Solved with
Incident AIFaster, higher-quality investigations.
Reduce investigation cycle time, raise report quality across experience levels, and produce findings that hold up under regulatory review.
Safety management system documents drift out of sync with work on the ground and risk assessments, creating gaps that only surface during audits or incidents.
Solved with
SHMS AIContinuous document assurance.
Catch procedure drift before it reaches the field. Keep your safety management system aligned with risk assessments and verify activities continuously.
Without a structured standard for what 'good' looks like, critical control verification quality drops, and gaps become invisible until it's too late.
Solved with
Critical Risk AIGrounded critical control standards.
Standardise what 'good' looks like for every critical control. Consistent, measurable verification across sites and shifts.
Every AI finding links directly to source statements, documents, and photos. Nothing is inferred without a traceable chain back to the original evidence.
Investigators and safety managers review, edit, and approve every output. MineGuard AI structures the work. Humans own the outcome.
Configurable retention periods and full audit logs give you a defensible chain of custody from raw input to final record, ready for regulators and internal reviews.
Finding
Draft
Approved by the investigator
The highwall was last inspected at 06:10, after rain was logged overnight, and no exclusion zone was marked before work resumed.
Select an underlined phrase to see the evidence behind it.
Illustration with made-up case data.
MineGuard AI is a CORE Innovation Hot 30 company, recognised for applied AI innovation in heavy industry. Presented at leading mining safety and operational risk conferences.
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