AI that catches defects, predicts failures, and keeps the line running.
Vision QA, OEE, predictive maintenance.
Manufacturing AI that works must integrate with the reality of the shop floor: legacy SCADA systems, inconsistent sensor data, shift changes that reset institutional knowledge, and quality standards that don't tolerate approximation. We've built vision QA and predictive maintenance systems that survive contact with real production environments.
Use cases
Computer vision systems that inspect 100% of production output at line speed — detecting surface defects, dimensional variations, and assembly errors human inspectors miss.
Equipment failure prediction trained on vibration, temperature, and operational data — flagging maintenance 48–96 hours before failure, not after it.
Real-time OEE monitoring with AI-identified loss drivers (availability, performance, quality) and root cause suggestions for shift supervisors.
Dynamic scheduling that optimizes throughput, changeover time, and due-date adherence — accounting for current WIP, machine availability, and demand priorities.
Process parameter optimization that identifies the controllable factors most correlated with yield — reducing scrap and rework cost.
AI systems that encode expert operator knowledge into structured decision support — reducing the institutional knowledge risk of experienced operator retirement.
Why Evolve Edge
Shop floor reality We've done deployments on production lines, in factories with poor lighting, vibration, and network connectivity issues. We build for the actual environment, not a lab.
Legacy system integration SCADA, PLC, MES, and ERP integration is a core competency. We've connected AI systems to equipment from the 1980s through current generation.
Zero false-negative tolerance design In quality inspection, a missed defect is more costly than a false alarm. We design detection systems for the asymmetric cost structure of your quality requirements.
Client perspective
“Defect escape rate dropped to near zero on our flagship line. The vision system caught a class of surface defects human inspectors had been missing for years.”
FAQ
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