Platform · Causal Diagnostics
Understand why equipment failed.
Causal Diagnostics correlates alarms, sensor traces, engineering docs, and past investigations to pinpoint the true root cause - in minutes, not days, with the evidence behind every recommendation.
Why it matters
Where CD earns its keep.
Critical equipment failures demand fast, explainable diagnosis. But engineers spend hours navigating fragmented operational data, leaning on historical experience and tribal knowledge that lives in one person’s head.
Causal Diagnostics correlates alarms, sensor traces, engineering documentation, and past investigations to identify the true root cause - with transparent evidence behind every recommendation.
Core capabilities
What Causal Diagnostics does.
Ranked, explainable root causes - built on the same knowledge graph the rest of the platform writes to.
AI Root Cause Analysis
Ranked root causes with the supporting evidence behind them - not just another alert.
Equipment Event Correlation
Tool logs, alarms, and process events read together across the moment of failure.
Fault Diagnosis
Guided, explainable debug steps the field engineer can act on with confidence.
Complexity climbs. Resolution time shouldn't.
Multi-day investigations compressed into minutes across production deployments.
Typical time to identify and validate the true root cause, with the evidence attached.
From equipment fault to an engineer-approved resolution through the platform.
Figures are representative of early deployments and finalize per customer engagement.
One shared core
Every diagnosis makes the next one faster.
Each investigation - the evidence read, the drivers ruled out, the root cause confirmed - is written back into the shared knowledge graph, where every other module draws on it. Know-how that once lived in one senior engineer’s head becomes an asset the whole organization owns.
See the whole platformIn the field
“What used to take our senior engineers three days now comes back as a ranked root cause in minutes - with the evidence to trust it.”
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.
Find your next root cause in minutes.
Start with a 60-90 day pilot scoped to one product line and one site, with a clear outcome metric. See Causal Diagnostics trace a real tool fault end to end on your own operational data.
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