The Causal Intelligence Platform for Semiconductors

Understand it. Resolve it. Prevent it.

ThirdAI Automation connects your operational data into one causal engine that turns multi-day investigations into decisions made in minutes.

Who we are

The Intelligence Layer Behind Every Resolution.

ThirdAI Automation is the Causal Intelligence Platform (CIP) for semiconductor ecosystems. One causal engine and knowledge graph power every module connecting diagnostics, process intelligence, defect analysis, and operational execution through shared causal intelligence.

Every investigation strengthens the platform. Every resolution enriches the knowledge graph. Every decision becomes reusable engineering knowledge.

Trusted across semiconductor fabs, equipment makers & field-service teams

Southern California Edison
Awign
Yield Engineering Systems

Customer names withheld under NDA.

The problem

Finding the root cause is only the beginning.

Field teams spend 55% of their time reacting to unexpected equipment issues. Complex failures stall for days on the one expert who has seen it before. Even after the cause is known, coordinating engineers, approvals, and service workflows delays recovery.

Field service engineers spend

55%of their time

reacting to unexpected equipment issues instead of preventing them.

Operations console for Bay 4: tool ETCH-7 is in fault; a queue of alerts funnels onto the single senior field-service engineer at 100% load while the elapsed timer climbs and the SLA clock drains - one fault, one queue, one person, and days bleed out before the fix even starts.

Firefighting eats the day

Field teams spend 55% of their time reacting instead of improving operations.

The senior engineer is the bottleneck

Complex failures escalate to a handful of experts, and investigations stall waiting for experience.

Knowledge walks out the door

Critical expertise lives in email, Slack, and people's heads, not in any system you own.

Execution is disconnected

Diagnosis, approvals, service coordination, and field execution happen across different tools, slowing resolution.

Service & aftermarket contributes 33% of revenue for leading semiconductor equipment manufacturers. Every delay between root cause and resolution increases downtime, SLA risk, and operational cost.

The platform

The Causal Intelligence Platform for Semiconductor Ecosystems

A Unified Platform for Smarter Operations.

Every module runs on the same CIP Core - a shared causal engine and knowledge graph. Documents, sensor logs, images, and operational data become one evidence layer, while every investigation continuously improves the next.

CIP · SIGNAL FLOWLIVE
Documents & SOPsMES recipesFDC sensorsTool logsMetrology & defectsField ticketsCausalIntelligencePlatformCDDiagnosticsFMEA generationFault diagnosisCPIProcess intelligenceRecipe optimizationProcess drift detectionCDFDefect feedbackInline defect detectionTrace to source stepCROResolution orchestrationField ticket RCAFix → knowledge graphResolutions feed the knowledge graph
CIP Signal Flow: fab data streams — documents and SOPs, MES recipes, FDC sensors, tool logs, metrology and defects, and field tickets — converge into the Causal Intelligence Platform core and flow out to the four CIP modules (Diagnostics, Process intelligence, Defect feedback, and Resolution orchestration), with resolutions feeding back into the knowledge graph.

Causal Diagnostics (CD)

Ranked root causes with the evidence behind them - alarms, sensor traces, engineering documents, and historical cases correlated in minutes, not days.

Explore CD

Causal Process Intelligence (CPI)

Drift detection, recipe optimization, and Enterprise MLOps for fab-specific models - keeping every process within control before variation impacts production.

Explore CPI

Causal Defect Feedback (CDF)

Connect defect signatures to the tool, chamber, process step, and manufacturing event that caused them - and quantify the yield at risk.

Explore CDF

Causal Resolution Orchestration (CRO)

Turn root cause into operational execution. AI agents coordinate recommendations, approvals, FRACAS workflows, enterprise integrations, and AI-powered Field Service Management from one connected workflow.

Explore CRO
Impact

From root cause to operational resolution.

In production
80%+
Lower RCA cycle time

Multi-day investigations compressed into minutes across production deployments.

Down to
~15 min
Time to the true root cause

Typical time to identify and validate the true root cause.

Case study
~7 min
Fault to approved resolution

From equipment fault to engineer-approved resolution through Causal Resolution Orchestration.

Our journey

Research, innovation, and impact on the line.

Causal Intelligence isn’t a feature we bolted on - it’s the foundation the company was built on.

Built for semiconductor operations

Designed from day one for the complexity of fabs, equipment manufacturers, and field service organizations.

Causal, by design

A shared causal engine and knowledge graph that explain why failures happen - and retain expertise long after investigations are complete.

From intelligence to execution

Connecting diagnostics with operational workflows through Causal Resolution Orchestration and AI-powered Field Service Management.

Customer proof

Champion stories from the line.

One film from the team that lived it - the rest, in their words.

The biggest difference ThirdAI has made is in our speed of response to customers.
Chris LaneVP, Engineering, Yield Engineering Systems

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 II compliance badgeSOC 2 Type IIAudited security controls
ISO 27001 compliance badgeISO 27001Information security management
CCPA compliance badgeCCPAData privacy compliance

FAQ

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 first root cause. Orchestrate every resolution.

See how the Causal Intelligence Platform connects diagnostics, process intelligence, defect feedback, and Causal Resolution Orchestration to reduce investigation time and accelerate operational execution. Launch a 60-90 day pilot using your own operational data, measure the impact, and experience how AI-powered Field Service Management turns insight into action.

Book a demo