Platform · Causal Process Intelligence
Keep every process on target.
Causal Process Intelligence watches process behavior continuously, surfaces the causal drivers of drift, and recommends corrective action - before variation becomes a yield excursion.
Why it matters
Where CPI earns its keep.
Small process variations quickly become yield excursions. But disconnected manufacturing data and manual analysis make it hard to isolate the operational drivers behind process drift.
Causal Process Intelligence continuously monitors process behavior, identifies the causal drivers of variation, and recommends corrective action - improving fab-specific models through Enterprise MLOps.
Core capabilities
What Causal Process Intelligence does.
Continuous, causal process monitoring - improving the fab-specific models it runs on.
Process Drift Detection
Catch drift as it starts, with the causal driver named - not just a control-limit breach.
Recipe Optimization
Recommended parameter moves that pull the process back to target.
Enterprise MLOps
Fab-specific models trained, governed, and continuously improved in production.
Catch drift before it becomes an excursion.
Causal drivers surfaced before variation reaches control limits.
Representative run-to-run variation on a tuned, locked recipe.
Representative reduction after continuous causal process monitoring.
Figures are representative of early deployments and finalize per customer engagement.
One shared core
Every finding makes the next one faster.
Each optimization - the drift it caught, the drivers it named, the recipe move it locked in - is written back into the shared knowledge graph, where every other module draws on it. Process know-how that once lived in a few experts’ heads becomes an asset the whole organization owns.
See the whole platformIn the field
“We used to chase drift after the excursion. Now the causal driver shows up while there’s still time to correct the recipe.”
The rest of the platform
Three more modules on the same engine.
Security
Your data, your control.
We safeguard your information with advanced security protocols and strict compliance standards. Deploy in your VPC or fully on-prem / air-gapped - your data never leaves your environment.
SOC 2 Type IIAudited security controls
ISO 27001Information security management
CCPAData privacy complianceFAQ
Questions from the fab floor.
How is Causal Intelligence different from correlation-based analytics?
It models cause and effect across your operational knowledge graph, so you get the true driver with the evidence behind it - not just a correlated signal that leaves engineers guessing.
How long does a pilot take?
A typical pilot runs 60-90 days on your own operational data, with measurable impact on RCA cycle time by the end of the engagement.
Where does our data live?
Deploy in your VPC or fully on-prem / air-gapped - data never leaves your environment. We hold SOC 2 Type II, ISO 27001, and CCPA.
Which systems does it connect to?
MES, SPC/FDC, historians, EDA & yield, PLM, CMMS, and ticketing - all feed the CIP Core evidence layer through standard connectors.
Do we need a data-science team to run it?
No. Enterprise MLOps governs fab-specific models for you, so engineers work inside the resolution workflow instead of notebooks.
Keep every recipe on target.
Start with a 60-90 day pilot on one process and one tool set, with a clear yield or variation metric. See Causal Process Intelligence surface the causal drivers of drift on your own manufacturing data.
Book a demo