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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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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 makes that expertise executable — so it runs your operations 24/7 and 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 domain ontology — asset trees, process knowledge, failure modes — 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

Every leaf in the task graph is a STARAgent.

Not a free-form chatbot — a governed See → Think → Act → Reflect cycle where neural judgment and symbolic precision each do the work they're good at. 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 domain 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.

Why a new architecture

Strategic determinism where it matters. Tactical autonomy where it's safe.

Dana — Domain-Aware Neurosymbolic Architecture

Physical AI governs real operations, so it needs more than a clever model. DanaOS is neurosymbolic: neural where language and judgment help, deterministic and auditable where correctness is mandatory — enforced at every layer, on infrastructure you control.

Deterministic where it's irreversible

When a wrong action can't be undone, reasoning is symbolic, bounded, and auditable — not a probabilistic guess.

Autonomous where conditions allow

Where the stakes permit, agents act on their own — inside authority bands you set, with lineage on every decision.

Governed by construction

Authority, gates, and observability are designed in, not bolted on — the difference between a demo and a production system.

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.

The knowledge lifecycle

CORRAL, not RAG.

Retrieval-augmented generation stops at retrieve-and-generate. DanaOS runs the full lifecycle — the decisive additions are Reason, Act, and Learn.

C
Capture
O
Organize
R
Retrieve
R
Reason
A
Act
L
Learn

It doesn't merely answer questions about a domain — it operates within it and gets better at operating. That's why DanaOS is an operating system, not a retrieval tool. See the full architecture →

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 governed, executable knowledge base competitors can't replicate, because it takes the deployments to build it.

You own your data & expertise

Encoded as ontologies 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.

Enterprise-grade

Trusted as infrastructure, not run as a demo.

What it takes to put autonomous agents on mission-critical, regulated operations — designed in, not bolted on.

Sovereign, secure deployment

On-premise, at the edge, or fully air-gapped. Your data and models never leave your perimeter.

Data isolation & governance

Every agent has its own substrate; knowledge changes are verdict-gated, never silent.

OT / IT integration

Overlays the stack you already run — SCADA, BMS, DCS, historians, and enterprise data.

Auditability & observability

PROV-O lineage on every decision: what it consulted, which authority band, who approved.

Authority bands & gated actions

“Recommend” and “act” are enforced by the runtime — an agent can't exceed the authority you grant.

Built for mission-critical sites

Dependable operation and support patterns suited to regulated and safety-critical environments.

Deploy where the work is

Start on one asset. Scale by template, not by rewrite.

Site-to-site variance lives in a curated domain pack, not in rebuilt integration code — so the second site is faster than the first, structurally.

Clean APIs & connectors

Modular integration to your industrial data sources and control systems.

Low-risk pilot-to-production path

Prove value on one asset, then expand across lines and sites on the same runtime.

Reference blueprints & governance

Deployment patterns, security posture, and agent governance you can replicate site to site.

Why now

Four forces converge in 2026.

DanaOS is neither early nor late. It's timed to a convergence that didn't exist two years ago and will be contested two years from now.

01

Models crossed the reasoning threshold

Foundation models are finally capable enough for the neural half of a neurosymbolic system to run in production.

02

Sovereignty became an imperative

In a 2025 McKinsey survey, 71% of executives called sovereign AI an existential concern or strategic imperative.

03

The expertise cliff is peaking

A generation of master engineers and operators is retiring faster than their judgment can be captured.

04

Agentic AI hit the reliability wall

The gap between an impressive demo and a deployable production system is the defining pain of 2026 — exactly what DanaOS closes.

From automation to autonomy

The shift the whole industry is racing toward — in production today.

Buildings and process plants have been automated for decades. The next step is autonomy: systems that don't just follow rules, but perceive, reason, and act on their own — under governance. One of the world's largest industrial operators runs DanaOS agents across building and process operations to make exactly that shift.

Buildings that respond on their own

Anomalies detected and corrected automatically across thousands of sites — keeping occupants safe and energy in check.

Control rooms that resolve, not just alarm

Agents anticipate process deviations and guide or execute the fix, preserving the judgment of retiring operators.

Governed the whole way

Every autonomous action stays bounded, gated, and auditable — the only way autonomy earns trust in regulated operations.

Deployment anonymized at customer request · building & process automation

Purpose-built for the physical world

Same operating system. Different ontology.

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 →
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

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.

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.

Industrial AI, in production

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

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 →