NewsAitomatic CEO named Chief Architect of Project Tapestry, alongside Yann LeCun and the AI Alliance → NewsSemiKong — the world's first open-source semiconductor LLM — featured by VentureBeat → NewsAitomatic joins IBM & Meta as a founding member of the AI Alliance →

About Aitomatic

Where industrial expertise becomes immortal.

We capture, retain, and multiply your organization's expertise — so your best thinking never walks out the door. DanaOS is how that expertise becomes executable: domain-native, sovereign, and getting smarter every run.

50+ yrs semiconductor 80+ yrs industrials 20+ AI/ML patents

The $3.1 trillion problem

Every year, industrial companies lose $3.1 trillion to expertise that is never captured, knowledge that isn't retained, and wisdom that can't scale.

Never captured

Split-second judgment

Your best operators prevent scrapped batches, equipment failures, and line stoppages. None of it is written down.

Not retained

Context fades

Even when documented, the why behind decisions gets lost.

Can't scale

One place at a time

One expert can only be in one place. Their judgment doesn't multiply.

Walks out the door

Veterans retire

When experts leave, retire, or move on, their expertise leaves with them.

Captured by others

Your moat, their product

With closed AI, every query trains their models — not yours. Your expertise becomes their training data.

Our approach

Cognitive Ontology — a living map of what your enterprise knows, and why.

Cognitive Ontology captures not just what your enterprise knows, but how things connect and why decisions get made — a living knowledge graph that grows smarter with every interaction, where procedures connect to reasoning and decisions link to downstream effects.

Traditional knowledge graphs failed because humans had to build them. Aitomatic's agents build the ontology automatically — extracting knowledge from documents, learning from experts, and evolving continuously.

Entities, relations, rules, causality

A domain knowledge graph at the center lets agents reason with your institutional knowledge — not just retrieve it.

The COSTAR cycle

The complete cycle of ontological map-making and map-using: capture, organize, and put institutional intelligence to work.

Compounds instead of decays

Institutional intelligence accumulates with every operation, rather than eroding as people move on.

Business impact

From automated to autonomous.

200 → 5,000 cases/day

Before: an expert reviews 200 cases/day with tribal knowledge. After: an agent processes 5,000 with encoded expert judgment.

3 AM → 3:04 AM

Before: a 3 AM anomaly waits for the morning shift. After: it's resolved at 3:04 AM.

6 months → day one

Before: a new hire shadows veterans for six months. After: they work alongside an agent that already holds the veteran's knowledge.

Months → instant

Before: a regulatory change means months of manual procedure work. After: instant impact analysis and draft remediation.

Who we are

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 — a founding member of the AI Alliance alongside IBM and Meta.

Semiconductors

2,400 defects/shift

Reclassified autonomously at 94% accuracy. Root-cause analysis cut from 3 days to 20 minutes.

Financial services

14,000 loan files

Reviewed in 6 hours with full audit trails. Previous: 4 analysts, 3 weeks.

Industrial operations

2 AM heat exchanger

Diagnosed and resolved autonomously. Zero human intervention. Zero production lost.

Ready to build your Cognitive Plant?

Transform your experts' insights into AI solutions you own — working 24/7. No massive infrastructure. Available today.

Book a Demo →