AI Agents for Mold Uptime & Production Reliability
Protect expensive tooling, reduce scrap rates, and optimize changeovers with AI agents purpose-built for injection molding, extrusion, and blow molding operations.
Critical Assets
Coverage across molding, extrusion, and auxiliary systems
Injection Molding
Presses and molds producing precision parts at scale. Agents track hydraulic pressure, shot counts, thermal cycling, and mold condition to prevent scrap and unplanned stops.
Extruders
Single and twin-screw extruders producing pipes, sheets, and films. Agents monitor barrel temperature, screw wear, and motor load to maintain output quality and throughput.
Blow Molding
Machines forming hollow containers and products. Agents track parison thickness, mold temperature, and cycle consistency to prevent wall-thickness defects and rejects.
Top Maintenance Challenges
Expensive Mold & Tooling Failures
Injection molds cost $80,000 or more and operate under extreme thermal stress and hydraulic pressure exceeding 20,000 PSI. Undetected wear leads to off-spec parts, costly rework, and production delays.
Extreme Operating Conditions
Heater bands, barrels, and molds cycle between extreme temperatures hundreds of times per day. Abrasive and corrosive materials accelerate component wear. Standard maintenance schedules cannot account for this variability.
Demand & Turnaround Pressure
Growing demand for medical and packaging plastics means shorter production runs and more frequent mold changes. Every changeover is a risk window for setup errors and maintenance-related defects.
What Our AI Agents Do
Mold & Press Health Monitoring
Track thermal cycling patterns, hydraulic pressure trends, and shot counts to detect mold wear, heater band degradation, and barrel screw erosion before they produce scrap.
- Thermal fatigue and wear pattern detection
- Hydraulic pressure trend analysis
- Shot-count-based maintenance triggers
Changeover & Quality Assurance
Reduce changeover errors with guided setup procedures and post-changeover quality checks. Link maintenance history to part quality data.
- Guided mold changeover procedures
- Post-setup quality checkpoint verification
- Maintenance-to-quality traceability