Platform · The Causal Intelligence Platform
Diagnostics, process intelligence, defect feedback, and resolution orchestration - powered by one causal engine and one knowledge graph, purpose-built for semiconductor operations.
What CIP is
The Causal Intelligence Platform (CIP) connects every stage of semiconductor operations through one shared causal engine and knowledge graph. Every module contributes to the same intelligence layer, allowing every investigation, recommendation, and resolution to continuously improve the next.
The modules
Each answers a different operational question - all writing back into the same knowledge graph.
Causal diagnostics correlate alarms, sensor traces, and engineering docs to pinpoint the true root cause - with transparent evidence behind every recommendation.
ThirdAI watches process behavior continuously, surfaces the causal drivers of drift, and recommends corrective action before variation becomes a yield excursion.
ThirdAI traces defect signatures back to the tools, chambers, and recipes that caused them - quantifying yield impact and preventing recurrence across the line.
ThirdAI routes causal findings straight into coordinated execution - approvals, work orders, and field service - through one connected operational workflow.
Our approach
Every investigation follows the same causal intelligence workflow.
AI agents gather evidence from equipment logs, documents, images, alarms, and operational systems.
The causal engine connects operational signals through a unified knowledge graph, identifying the true drivers behind failures.
Every recommendation includes explainable reasoning, supporting evidence, and confidence scoring.
CRO coordinates engineers, enterprise systems, approvals, and field service workflows - ensuring every resolution becomes organizational knowledge.
Value to customer
Production complexity keeps rising, and human investigation can't keep pace. The causal engine holds time-to-resolution flat - drag across the curve to see the gap.
Drag across the chart to compare time-to-resolve at any level of complexity
CRO deployment
Option A
Layer CRO onto the systems of record you already run - no rip-and-replace.
Option B
Run ThirdAI's built-in AI Field Service Management on the same orchestration engine.
Under both deployment models, CRO uses the same causal engine, knowledge graph, AI agents, and FRACAS workflow to coordinate every operational resolution.
Security
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
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.
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.
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.
MES, SPC/FDC, historians, EDA & yield, PLM, CMMS, and ticketing - all feed the CIP Core evidence layer through standard connectors.
No. Enterprise MLOps governs fab-specific models for you, so engineers work inside the resolution workflow instead of notebooks.
Start with a 60-90 day pilot scoped to one product line and one site, with a clear outcome metric. Watch the causal engine trace a real failure end to end - and hand the resolution straight back into your service workflow.
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