Prevent Yield Loss
Detect contamination risk early and intervene before defects propagate.
Operational Digital Twins • Physics + AI • Real-time Predictive Control
AI-Powered Digital Twins for Semiconductor Fab Operations
TwinFab unifies physics-grade simulation, AI models, and live sensor data into an operational digital twin—so teams can spot risk early, act faster, and run with confidence.
Built for fabs, filtration OEMs, and advanced manufacturing cleanrooms
- Instant visibility beyond sparse sensors with virtual sensing and zone-level risk maps.
- Predictive control to surface risk trends early and recommend safe operating ranges.
- What-if simulation to compare fan/flow/layout changes before you touch the line.
Real Fab
Sensors
Virtual Twin
Physics + AI Engine
Predictive Alerts
Reduce Downtime
Forecast filter and asset health to schedule maintenance proactively.
Optimize Efficiency
Simulate “what-if” settings to improve performance and energy usage.
Operate with Confidence
Turn complex cleanroom dynamics into clear, actionable recommendations.
Move from reactive troubleshooting to predictive control with a live digital twin.
Why today’s control loops miss early risk
In many fabs and cleanrooms, contamination and filtration drift develop long before alarms. Periodic audits, fixed schedules, and lagging indicators create a blind zone where yield risk accumulates unseen.
What happens today
- Manual audits are intermittent and prone to human error.
- Blind schedules replace filters by time, not by condition.
- Lagging alarms trigger after impact has already started.
What TwinFab changes
- Instant visibility with zone-level risk maps and virtual sensors.
- Predictive control by forecasting drift and failure risk earlier.
- Validated what-if simulation before you touch the line.
TwinFab closes the blind zone by fusing physics-based models with live sensor data—so teams can predict, validate, and act earlier.
About TwinFab
We build operational intelligence for cleanrooms—grounded in physics, accelerated by AI.
From invisible risk to measurable control
TwinFab creates a living digital twin that continuously synchronizes simulation + AI models with real sensor data. Teams can spot early contamination risk, test changes safely, and act faster—without waiting for slow audits or lengthy experiments.
- Cleanroom visibility: zone-level risk maps + virtual sensors between gauges
- Predictive maintenance: forecast filtration performance and replacement windows
- What-if simulation: compare fan, flow, and layout changes before you touch the line
Semiconductor fabs
Filtration & OEMs
Advanced manufacturing cleanrooms
Mission
Help cleanroom teams prevent contamination events, reduce downtime, and operate more efficiently with a live digital twin.
Vision
Smart fabs where decisions are continuously informed by real-time models—not delayed reports.
What we deliver
Risk maps, predictions, and recommendations—packaged as dashboards and APIs that integrate with existing workflows.
How we build trust
- Physics + AI: preserve first principles while accelerating to near-real time.
- Validation mindset: iterate with domain experts and measured baselines.
- Operational focus: designed for practical deployment, not research demos.
Operational digital twin: instant visibility + predictive control
TwinFab continuously fuses live sensor feeds with a physics-grade model and AI inference—so teams can detect emerging risks, validate changes, and act before yield is impacted.
- Instant visibility: see conditions where physical sensors don’t exist.
- Predictive control: identify risk trends before they escalate.
- Continuous alignment: keep the virtual model synchronized with reality.
Contact
Request a demo or start a pilot. We will respond within 1 business days.