Common Pain Points
We see these challenges holding back growth in the Mining & Resources sector repeatedly.
Unexpected equipment downtime costing millions
Manual safety reporting and incident logging
Disconnected shift handovers and data silos
Inventory shortages for critical spare parts
Hazardous environment monitoring gaps
Automations We Deploy
Production-ready workflows that replace manual effort immediately.
Predictive Maintenance
IoT sensor analysis to predict failure before it happens.
Safety Reporting
Voice-to-text automated incident logging for field workers.
Shift Handover
AI summarization of shift activities and critical alerts.
Parts Forecasting
Demand prediction for critical machinery spares.
Telemetry Analytics
Real-time optimization of haul truck cycles.
Specialized AI Agents
Beyond simple automation, these agents reason, decide, and interact.
Equipment Uptime95%+
Incident ResponseInstant
Maintenance Cost-25%
AI
Maintenance Planner
Schedules repairs during optimal downtime windows.
AI
Safety Guardian
Monitors camera feeds for PPE compliance and risks.
AI
Ops Coordinator
Balances crusher throughput with extraction rates.
Typical Roadmap
From assessment to full autonomy.
1
Discovery
2
Proposal
3
Roadmap
4
Development
5
Train
6
Go Live