News Aitomatic CEO named Chief Architect of Project Tapestry, alongside Yann LeCun and the AI Alliance → News SemiKong — the world's first open-source semiconductor LLM — featured by VentureBeat → News Aitomatic joins IBM & Meta as a founding member of the AI Alliance →
Aitomatic DanaOS
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The operating system for industrial AI

Your knowledge, governed — and compounding inside your walls.

DanaOS is the governed knowledge substrate your agents run on. Every agent reads under authority and writes only verified knowledge back — so the system gets deeper each run, and none of it ever leaves your boundary.

Domain — same OS, different ontology
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Industrial AI, in production

The physical world runs on expertise.
Now it runs on DanaOS.

Trusted by global industrial leaders

Honeywell TEL MaxLinear Hitachi NXP Panasonic Wesco

Your best operators make split-second calls from decades of pattern recognition. None of it is written down — and every retirement takes a little more of it out the door for good.

DanaOS captures that judgment as a Cognitive Ontology — expertise made executable, running your operations 24/7. It never walks out the door.

What DanaOS is

Four properties. Three pay off on day one. The fourth makes it worth more every day after.

01 / day one

Domain-native

Agents reason over your Cognitive Ontology — process knowledge, failure modes, expert judgment — not a generic model's guesswork.

02 / day one

Autonomous

Agents run the full loop: perceive, diagnose, decide, and act under governance — with a human in the loop where stakes demand it.

03 / day one

Sovereign

Runs on-premise, at the edge, air-gapped if required. Your data, your ontologies, your control — nothing leaves your walls.

04 / compounds

Self-improving

Every run deepens the knowledge base. A deployment becomes a compounding asset instead of depreciating software.

What you run on it

One layer under every high-value workflow.

DanaOS isn't a point tool — it's the runtime the same team reuses across the workflows that move the numbers, each tied to a clear operational outcome.

Predictive maintenance

Fewer unplanned stops

Catch degradation and incipient failure early — diagnose tube fouling vs. pump failure before it takes the asset down.

Operator copilot

Every shift decides like your best

Encoded expert judgment on hand 24/7 — so a 3 a.m. call matches your most senior engineer's.

Asset & process optimization

More output, same iron

Hold set-points at the efficient edge and adapt as conditions drift — capacity without capex.

Anomaly detection & RCA

Root cause in minutes

Surface the anomaly, reason to the cause, and carry the lineage — 20 minutes, not three days.

How an agent operates

A governed procedure — with judgment only where it's needed.

Not a free-form chatbot: an agent follows a deterministic, pinned workflow. Where a step genuinely needs judgment, a bounded See → Think → Act → Reflect loop runs inside the authority you set — and nowhere else. Reflect closes the loop, so operating the system improves the system.

S

See

Perceive state from sensors, control systems, and operational data.

→
T

Think

Reason over the Cognitive Ontology — neural where judgment helps, symbolic where correctness is required.

→
A

Act

Execute a governed action or recommendation, with a human in the loop where the stakes demand it.

→
R

Reflect

Evaluate the outcome and fold it back into the knowledge base.

Cognitive Ontology

Two kinds of knowledge. Most operations have captured only one.

You already run on a Structural Ontology — asset trees, P&IDs, ISA-95, Brick, equipment taxonomies: a faithful map of what's there. What's never been written down is the Cognitive Ontology — how your experts diagnose it, when to intervene, what “good” looks like. DanaOS treats both as first-class, executable knowledge. The upgrade is from inventory to procedure.

Structural Ontology — what's there

Assets, topology, and failure modes, aligned to the standards you already keep: BIM, Brick, ISA-95, P&IDs, equipment taxonomies.

Cognitive Ontology — what to do about it

Procedures, rules, policies, and expert judgment — typed, versioned, governed, and executable. The living map of how your enterprise actually works.

Your expertise is your moat

Sovereignty means it stays yours — and compounds.

"80% of the world's data is private. OpenAI won't have access to it. …that data gives you a real moat."

Kevin Weil, Chief Product Officer, OpenAI

Every query to a closed cloud AI ships your hard-won expertise to someone else's infrastructure. DanaOS keeps your data, ontologies, and control inside your walls — and deepens a Cognitive Ontology competitors can't replicate — it takes the deployments to build it.

You own your data & expertise

Encoded as a Cognitive Ontology proprietary to you. No data leaves your jurisdiction.

Open, auditable reasoning

Deterministic where correctness is mandatory. Every decision carries lineage a regulator can follow.

A compounding knowledge moat

Each deployment deepens a Sector Ontology rivals can't shortcut — it takes the deployments themselves to generate it.

Purpose-built for the physical world

Same operating system. Different ontology.

In production today: one of the world’s largest industrial operators runs DanaOS agents across building and process operations — anomalies corrected automatically across thousands of sites, governed the whole way.

Semiconductor manufacturing

Semiconductor

  • Equipment maintenance — 2,400 defects classified per shift at 94% accuracy
  • Process optimization — root-cause analysis in 20 minutes, not 3 days
  • Chemical etching — catch process drift before it scraps a wafer
Maritime shipping

Maritime

  • Navigation assistance — real-time route decisions with encoded captain expertise
  • Route optimization — continuous learning from every voyage
Energy grid

Energy

  • Grid control — evaluate a contingency and simulate the consequence before acting
  • Equipment performance — diagnose tube fouling vs. pump failure instantly

Latest research

The research behind the platform.

Research

Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning

A 50-point accuracy boost, driving semiconductor manufacturing decisions with industrial precision.

Read paper →
Research

Domain-Aware Neurosymbolic Agentic AI for Consistency and Accuracy

A neurosymbolic approach integrating domain knowledge to exceed 90% accuracy on complex industrial tasks.

Read paper →
Research

SemiKong: Training and Evaluating an LLM for the Semiconductor Industry

The world's first open-source LLM purpose-built for semiconductors, enabling expert-level manufacturing decisions.

Read paper →

Credibility

Built by industry veterans, working at the AI frontier.

Led by Panasonic, Google, and Amazon veterans, pushing the leading edge of neurosymbolic and industrial AI research. Founding member of the AI Alliance alongside IBM and Meta.

95%
accuracy
on decisions that previously required senior engineers
3 weeks
to deploy
from kickoff to production, not months
100+
expert agents
each encoding decades of domain expertise
225%
growth
in operational capacity without adding headcount
VentureBeat

Aitomatic's SemiKong uses AI to reshape chipmaking processes.
Meta AI

Aitomatic spearheads AI in the industrial economy, releasing OpenSSA as an inaugural member of the AI Alliance with IBM & Meta.
Tom's Hardware

SemiKong, the world's first open-source semiconductor-focused LLM, brings new chips to market 30% faster.

Capture the expertise before it walks out the door.

Bring a use case. We'll show you DanaOS running your expertise — domain-native, sovereign, and getting smarter with every operation.

Book a Demo →