Real-World First
We focus on production-line challenges, not theoretical scenarios.
Company · About us
Find the why. Keep the line moving.
ThirdAI Automation builds the Causal Intelligence Platform for Semiconductors - one causal engine and one knowledge graph connecting diagnostics, process intelligence, defect feedback, and resolution orchestration. Understand it. Resolve it. Prevent it.
Why we started
Industrial downtime is a $1.5T problem.
The core challenge is lengthy, manual root cause analysis spread across sensors, imagery, logs, and documentation. We built ThirdAI Automation so coordinated AI agents find the underlying cause rather than the symptom - turning tacit, tribal knowledge into standardized, repeatable processes.
By the numbers
What that looks like in practice.
$1.5T+
Global downtime / yr
The annual cost of industrial downtime across sectors.
200-300
Hours returned / site / mo
Reclaimed from repeat firefighting and manual digging.
~1 hr
Saved / engineer / day
Time given back to every engineer on the line.
What we believe
Four convictions behind the product.
Explainable By Design
Every recommendation comes with reasoning, documentation, and supporting evidence.
Secure & Private
VPC / on-prem deployment with governance and data isolation.
Partner Mindset
We co-design with operators and align on the metrics that define success.
Mission
Give engineers their time back.
At ThirdAI Automation, our mission is to harness the power of an agentic, industrial AI framework for rapid knowledge mining and root cause analysis - empowering engineers to troubleshoot effectively, document findings thoroughly, extract critical insights, and generate comprehensive reports with greater efficiency.
Vision
Operations, seamlessly AI-native.
We envision a future where industrial operations are seamlessly integrated with AI, making complex problem-solving intuitive and efficient.
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.
Understand it. Resolve it. Prevent it.
See the Causal Intelligence Platform (CIP) run on your own operational data. One causal engine and one knowledge graph connect diagnostics, process intelligence, defect feedback, and resolution orchestration - so every finding is explained, scored, and acted on.
Book a demo