AI Agents for Factory Uptime & OEE
Predict failures, allocate work intelligently, and keep production on takt with maintenance copilots purpose‑built for manufacturing.
Common Assets
Coverage across machines, lines, utilities
Production Machinery
CNC machines, lathes, presses, and mills. Agents monitor vibration signatures, thermal drift, and cycle-time deviations to catch wear before it causes scrap or stoppage.
Assembly Lines
Conveyor systems, robotic stations, and buffer zones. Agents track takt adherence, buffer health, and bottleneck formation to keep throughput on target.
Utility Systems
HVAC, compressed air, and electrical distribution. Agents monitor availability, detect leaks and pressure drops, and flag efficiency degradation across plant utilities.
Top Maintenance Challenges
Unplanned Downtime
Manufacturers face an average of 800 hours of unplanned machine downtime annually. Every stoppage cascades into missed SLAs, overtime costs, and production backlogs.
Aging Equipment & Knowledge Loss
Average equipment age in manufacturing has reached its highest point in decades. As experienced technicians retire, the institutional knowledge needed to maintain legacy machines disappears with them.
Scheduling vs. Production Demand
Less than 35% of maintenance teams spend the majority of their time on preventive work. Balancing PM windows against takt time and shift plans remains a constant tension.
What Our AI Agents Do
Predictive Maintenance
Analyze vibration, temperature, and cycle data to flag probable failures and trigger work orders.
- Bearing/gear wear patterns
- Thermal and current anomalies
- Remaining useful life estimates
Production‑Aware Scheduling
Align maintenance to natural breaks and constraints; route tasks to the right techs.
- Auto‑windowing vs. takt/shift plans
- Skills‑based assignment on mobile
- Parts availability checks