Modernize manufacturing operations with AI-powered predictive maintenance, quality control, and production optimization. Reduce downtime by 60%, improve first-pass yield by 25%, and increase OEE by 30%. Deploy in weeks, not years.
Measured from live manufacturing deployments
Predict equipment failures weeks in advance with AI-powered predictive maintenance. Shift from reactive repairs to planned interventions.
Increase first-pass yield with computer vision defect detection and root cause analysis. Catch quality issues before they reach customers.
Maximize Overall Equipment Effectiveness through optimized scheduling, reduced changeovers, and minimized waste.
Production AI for every stage of manufacturing
Predict equipment failures 3-6 weeks in advance using vibration sensors, thermal imaging, and performance data. Schedule maintenance during planned downtime instead of emergency shutdowns.
Computer vision detects surface defects, dimensional variations, color inconsistencies, and assembly errors at line speed. Achieve 99.9% defect detection with zero false positives.
AI recommends optimal production schedules, batch sizes, and machine assignments. Minimize changeovers, balance line utilization, and maximize throughput while meeting demand.
Identify process parameters that maximize yield and minimize scrap. AI analyzes sensor data, environmental conditions, and operator actions to recommend optimal settings.
Predict supplier delays, optimize inventory levels, and identify alternative sources before disruptions impact production. Real-time visibility across the entire supply chain.
Reduce energy consumption by 15-20% through intelligent load management, equipment scheduling, and process optimization. Meet sustainability goals while cutting costs.
Improve every aspect of manufacturing operations
Detect wafer defects, optimize etching parameters, predict equipment failures in fab tools, and maximize yield in cleanroom environments. Monitor particle counts and environmental conditions in real-time.
Vision-based quality control for paint, welds, and component placement. Optimize assembly line balancing, predict robotic arm failures, and ensure first-time-right assembly with AI-guided work instructions.
Ensure product consistency, detect contamination, optimize recipe formulations, and predict equipment sanitation needs. Maintain compliance with FDA and FSMA regulations through automated documentation.
Inspect PCB assemblies, detect solder defects, verify component placement, and optimize SMT line parameters. Trace component genealogy and predict field failures based on manufacturing data.
Traditional manufacturing analytics takes 12-18 months and a consulting army. Our Forward Deployed Engineers ship production AI in 4 weeks. Here is the timeline.
Typical mid-size manufacturing deployment
Fees at risk on the first engagement. We earn it or you don't pay.