Autonomous AI agents that monitor process drift, predict yield failures, and optimize recipes across your entire equipment stack. No hardware lock-in. No consultants. Just intelligence that never sleeps.
Process control intelligence is bundled with equipment purchases. Want AI? Buy the whole stack from one vendor.
Mid-tier fabs can't afford enterprise AI platforms that cost millions to deploy and require dedicated teams.
Existing tools show you charts. They don't autonomously detect drift, correlate root causes, or recommend fixes.
Equipment from different vendors produces data in different formats. No unified intelligence layer connects it all.
Deploy AI agents on your existing equipment. Any vendor, any node, any process.
AI agents continuously monitor temperature, pressure, gas flow, and metrology data across your entire fab. They catch drift before it kills yield, not after.
Machine learning models trained on your historical process data predict wafer-level yield outcomes before the wafer finishes processing. Flag bad lots early, save good ones.
FabMind doesn't just report problems. It recommends parameter adjustments for etch, deposition, and lithography recipes, optimizing for yield across your specific process flow.
Ingest data from Applied Materials, Lam Research, KLA, ASML, or any other equipment. One intelligence layer that sees your whole fab, not just one vendor's slice.
The intelligence that runs your fab shouldn't depend on which equipment you bought. FabMind makes world-class yield optimization accessible to every semiconductor manufacturer.