Keep your assets running. Predict what breaks next.
AI-native maintenance and asset management for capital-intensive operations. From predictive failure signals to turnaround planning — replace reactive maintenance with reliability engineering that compounds over time.
Economic leverage
Capabilities
Not a CMMS with AI bolted on.
The PM scheduling engine uses stochastic failure models. The work order system integrates with edge sensors. Turnaround planning uses constraint-based resource leveling. Every sub-skill is connected end to end.
Predictive Maintenance
Sensor-driven failure forecasting with optimal intervention windows — after the precursor signal, before the consequence.
PM Optimization
Continuously optimize maintenance intervals against actual failure data. Extend conservative intervals, tighten under-conservative ones.
Turnaround Planning
Constraint-based scope and resource planning for major shutdowns. Identify scope creep risk weeks before it materializes.
Work Order Lifecycle
300-600 work orders per day, automatically generated from condition signals, resource-leveled, and tracked to completion.
MRO Inventory
Multi-echelon stochastic optimization for spare parts. ABC-XYZ analysis reduces inventory 15-25% while cutting stockout risk.
Reliability Engineering
RCA, failure mode analysis, and MTBF trending that reduces failure frequency over years — compounding improvement.
Industries
Purpose-built for capital-intensive operations.
Mining
$800M-$1.5B in mobile equipment. 300+ work orders/day. SAG mill, haul truck, and crusher reliability directly determines revenue.
Oil & Gas
ESP failure prediction, compressor health monitoring, refinery turnaround planning. $1-5M/day cost of unplanned downtime.
Battery Production
Formation cycler channel failures, dry room HVAC, coating line maintenance. $500K-$5M per chemistry-induced scrap event.
Power & Grid
Transformer health monitoring, BESS thermal management, substation switchgear maintenance with NERC CIP compliance.
Megaprojects
Construction equipment fleet management, crane maintenance scheduling, tower crane inspection compliance.
Stop reacting. Start predicting.
AI-native maintenance that compounds reliability improvements over time. From sensor signal to work order to completion — fully connected.