Context, instantly.
Agents act on a live graph. No pipelines. No waiting.
AI-native company intelligence.
Databases store data. Dominir gives them meaning.
Underneath a living company graph — an ontology of your operations.
Learn about ontology
Agents
Most AI tools start from zero every session.
In Dominir, agents read context, follow relationships, take action, and leave a trail.
The company graph is their home.
Agents act on a live graph. No pipelines. No waiting.
Your Kernel. Your Data. Run inference via Ollama. No cloud dependencies.
Security
The most valuable company knowledge is also the most sensitive. Dominir runs locally — with permissions, approvals, and a complete audit trail.
Privacy isn't a policy. It's built into the system.
Category
CRM
Customer relationships.
ERP
Company resources.
CIM
Company Ontology.
CRM had its moment. ERP had its moment. CIM is next — because agents need more than documents. Dominir is the OS that makes it real.
Academy
An introduction to the Dominir platform — what it is, why it exists, and how it differs from existing enterprise tools.
Essay
Why We're Building Dominir
May 2026Every major software category began with a new kind of coordination. Agentic AI is creating the next one. Here's why the window is now.
Perspective
“The biggest blocker to AI automation of companies is no longer the models — they just got so good so quickly. Now the blocker is the domain knowledge. Every company has critical know-how scattered everywhere. If we want every company to run on AI automation, we need a new primitive: a company brain.”
“The market has realized that data and analytics agents are essentially useless without the right context. There needs to be maintained context that not only understands how an enterprise works and how its data systems are structured, but maintains the tribal knowledge to tie everything together.”
“Every company runs differently — with its own escalation paths, workarounds, and tribal knowledge accumulated over years. When you drop a general-purpose AI into that environment, it starts from zero. The work of getting it up to speed is slow, expensive, and has to be redone every time a process changes. Most companies are living this problem right now.”
“Nearly eight in ten companies are using gen AI — and the same proportion report no significant bottom-line impact. Crossing from pilot to production requires four enablers moving in parallel: governance frameworks, composable architecture, upskilled people, and productized data.”
Team
Observer of the universe.
Knowledge that remembers.
Workflows agents can run.
A CRM that's just the beginning.