What it does
- Computer-vision and IoT hazard detection (PPE, proximity, gas, geotechnical)
- Incident risk scoring per shift, crew and zone
- Automatic alert escalation and evacuation workflows
- GISTM/MSHA-style compliance evidence logging
Zion App Network • October 2026 • Batch 109 — Mining & Metals AI
Worker safety monitoring, hazard detection and incident prediction across sites, with alert escalation and compliance logs.
Fill our 3-minute questionnaire and instantly receive a tailored AI opportunity report — results are emailed to you and to our commercial team (commercial@ziontechgroup.com) the moment you submit, so we can follow up fast.
Ore grade prediction from drill-hole and sensor data for mine planning, blending and reconciliation.
Live app → · GitHub repo →Haul fleet dispatch, fuel optimization and predictive maintenance for trucks, loaders and shovels.
Live app → · GitHub repo →Tailings storage facility monitoring — piezometer/InSAR signals, anomaly alerts and GISTM compliance evidence.
Live app → · GitHub repo →Explore: Batch 109 showcase • Apps directory • Network explorer • Master hub repo