Transform process expertise and fab data into production-ready models for virtual metrology and closed-loop process control
Predict wafer results before measurement
Estimate key process outputs in real time
Enable control decisions without waiting for metrology
Reduce feedback delay in production
Automatically adjust process parameters
Optimize recipe parameters run by run
Correct drift across chambers and consumables
Maintain stable process targets
Validate control strategies before production
Simulate process behavior under real fab conditions
Test control logic safely offline
Identify risks before deployment
Hold up across chambers and consumables
Stay stable as conditions change over time
Keep working even with noisy / imperfect data
Configure by recipe / chamber / zone
Fit real fab flows and data structures
Designed for continuous operation, not demos
Replay runs before you touch production
See what breaks, and where
Surface risks and improvement points early
Built to minimize operational risk in production
Aligned with fab change-control practices
Supports conservative, step-by-step adoption
Maintain stable process performance around the clock
Detect drift and adjust control automatically
Reduce reliance on manual monitoring and tuning
Go from one tool to many—fast
Expand from one process to the next
Scale coverage without disrupting operations
2026-02-20
AI and advanced technology startups compete on a global stage
2026-01-19
Strengthening collaboration between startups from Central Japan, India, Singapore, and South Korea
2026-01-06
Growth potential reaffirmed through advancement to and awards at the national startup competition’s grand finale
Turn expert-level process control into production-grade software, so advanced manufacturing can scale despite workforce decline.
Born as an SK hynix in-house venture, built and proven in production.