DanaOS is the operating system for industrial AI, built by Aitomatic. It is a governed, neurosymbolic, self-improving platform that runs autonomous AI agents inside a customer's own boundary — for semiconductor fabs, building and process operations, energy grids, and heavy industry.

Does DanaOS run air-gapped or on-premises?

Yes. DanaOS runs entirely on-prem or inside a customer-controlled boundary. Identity, authorization, and governance persist when the WAN is down. Aitomatic defines five Air-Gap Readiness (AGR) levels, AGR-1 through AGR-5, to make the distinction precise.

What industries does DanaOS serve?

DanaOS is deployed in semiconductor manufacturing, building and process operations, energy grids, maritime, and heavy industry. Customers and partners include Hitachi, Honeywell, MaxLinear, NXP, Panasonic, Tokyo Electron (TEL), and WESCO.

How does DanaOS govern agent actions?

Agents propose; a governance peer (the Dana Ontologist) verifies each proposed write against the ontology and policy before it commits. Recommend-band actions are held at a seam for operator approval, with quorum-based decisions. Only verified knowledge is written back, so the knowledge base compounds each run.

News Aitomatic CEO Christopher Nguyen 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 →

DanaOS

Book a Demo

Engineering Intelligence

Your expertise, compounding.

DanaOS runs Engineering Intelligence inside your boundary.

Domain — same OS, different ontology

Book demo → What is EI?

DanaOS acme-fab-01 · on-prem Your boundary live

Knowledge substrate · dana-odb plasma-etch

Run · event stream

◆ dana-ontologist · verify governed write Recommend band

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Decision

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conf — · quorum —

held · operator gate

Gov. read

Gov. write

Verify

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Mission

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Token budget

0 / 200k

Your knowledge base▲

12,840owned

Industrial AI, in production

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

Trusted by global industrial leaders

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

It's the most valuable thing your enterprise owns — and the one thing no AI has been able to reach.

Why existing AI isn't enough

General-purpose AI was trained on the public internet. Your expertise never was.

The knowledge that runs your operation is private, tacit, and consequential — exactly what general-purpose AI can't reach, by design.

General-purpose AI → Engineering Intelligence

Trained on

The public internet — it has never seen your private, air-gapped data.

→

Runs on

Your private data, inside your boundary — the data it was built for.

Retrieves

Documents it can match. It cannot encode the tacit judgment behind a 3 a.m. call.

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Encodes

Judgment as a Cognitive Ontology that acts, not a document to retrieve.

Optimizes for

Plausibility. A confident wrong answer is dangerous on a fab floor.

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Governs

Every action: propose, verify, commit — under your authority, with lineage.

A new category

Engineering Intelligence.

The ability for organizations to preserve, apply, and continuously improve engineering expertise with AI.

Industrial AI is the market. Engineering Intelligence is the missing capability inside it — and DanaOS is how it's delivered.

Preserve

Capture engineering expertise as a Cognitive Ontology — typed, versioned, governed knowledge that never walks out the door.

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Apply

Run it as governed, autonomous agents — perceiving, diagnosing, and acting inside the authority you set.

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Improve

Every verified run deepens the knowledge base. Expertise becomes a compounding asset instead of a depreciating one.

How DanaOS delivers it

Four properties. Each one serves a verb of Engineering Intelligence.

01 · preserves

Domain-native

Reasons over your Cognitive Ontology — not a generic model's guesswork.

02 · applies

Autonomous

Perceives, diagnoses, acts — under governance, with a human where stakes demand.

03 · keeps it yours

Sovereign

On-prem, edge, air-gapped. Nothing leaves your walls.

04 · improves

Self-improving

Every run deepens the knowledge base. A compounding asset, not depreciating software.

What you run on it

One layer under every high-value workflow.

Not a point tool — one runtime the same team reuses across every workflow that moves the numbers.

Predictive maintenance

Fewer unplanned stops

Catch degradation before it takes the asset down.

Operator copilot

Every shift decides like your best

Encoded judgment on hand 24/7.

Asset & process optimization

More output, same iron

Hold set-points at the efficient edge. Capacity without capex.

Anomaly detection & RCA

Root cause in minutes

20 minutes, not three days.

How an agent operates

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

Not a chatbot. A pinned workflow — with a bounded See → Think → Act → Reflect loop only where judgment is needed, inside the authority you set.

See

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

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Think

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

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Act

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

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Reflect

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

Cognitive Ontology — the core technology

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

The technology behind EI is the Cognitive Ontology — and you already have half of it. You run on a Structural Ontology: asset trees, P&IDs, ISA-95 — a map of what's there. What's never been written down is the Cognitive Ontology — how your experts diagnose, when to intervene, what “good” looks like. The upgrade is from inventory to procedure.

Structural Ontology — what's there

Assets, topology, failure modes. BIM, Brick, ISA-95, P&IDs.

Cognitive Ontology — what to do about it

Procedures, rules, expert judgment — typed, versioned, governed, executable.

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 closed cloud AI ships your expertise elsewhere. DanaOS keeps it inside your walls — and deepens a moat competitors can't shortcut.

You own your data & expertise

Encoded as a Cognitive Ontology. No data leaves your jurisdiction.

Open, auditable reasoning

Deterministic where it matters. Every decision carries lineage.

A compounding knowledge moat

Each deployment deepens a Sector Ontology rivals can't shortcut.

Purpose-built for the physical world

Same operating system. Different ontology.

In production: one of the world’s largest industrial operators — anomalies corrected automatically across thousands of sites.

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

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

Energy

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

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