“We achieved AI-powered visual inspection without investing in expensive purpose-built optical inspection equipment.”
The First 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.
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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.
Our trusted partners
Scaled annotation pipelines for robotics training data.
India's largest gig work platform, with 1M+ workers
Unified field service knowledge across 65+ engineers, five countries.
Shipped India's first-ever semiconductor manufacturing equipment from Coimbatore
No new tool, no context-switch.
World's first commercial semiconductor wire bonder listed on NASDAQAI defect detection with full serial-number traceability.
ODM to the world's best-known PC brandsGovernment-approved manufacturer under PLI 2.0Weeks-long reports generated in under five minutes; reporting time cut 80–85% across hundreds of thousands of documents.
Tier-1 piston manufacturerDefect analysis time cut 90%+ across 10–12 fabrication steps.
Fortune 500 semiconductor manufacturer
Customer names withheld under NDA.
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
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.
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
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 CDCausal Process Intelligence (CPI)
Drift detection, recipe optimization, and Enterprise MLOps for fab-specific models - keeping every process within control before variation impacts production.
Explore CPICausal 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 CDFCausal 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 CROImpact
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.
Our founders
Vivek Vishwakarma
Co-founder & CEO
Brings a decade of semiconductor manufacturing expertise from Intel, along with 10+ patents and 300+ research citations in causal AI and industrial automation. He founded ThirdAI to help manufacturing teams move from reactive troubleshooting to evidence-based root-cause analysis.
Sainyam Galhotra
Co-founder & CTO
A leading researcher in causal inference and explainable AI, formerly Assistant Professor of Computer Science at Cornell University with a Ph.D. from UMass Amherst. His research on making data science tools more reliable and responsible forms the academic backbone of ThirdAI's causal 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 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