Enterprise AI, agent systems
We build multi-agent frameworks, coordination buses, and governed workflows for knowledge-intensive enterprise work — not demos, not toys.
We are a small, focused team working on hard problems at the intersection of neural learning, symbolic reasoning, and enterprise infrastructure. If that is your kind of work, we want to hear from you.
We are heads-down building. When we are ready to grow the team we will post roles here. In the meantime, send us a note — exceptional people are always worth a conversation.
We build multi-agent frameworks, coordination buses, and governed workflows for knowledge-intensive enterprise work — not demos, not toys.
Our core thesis combines learning with structured reasoning: ontologies, knowledge graphs, and traceable logic that LLMs alone cannot provide.
Everyone on the team owns a meaningful surface area. You will see your decisions reflected in production systems used by real enterprises.
The infrastructure layer for enterprise agentic AI is still being invented. What we build today will define what the category looks like in five years.
We do not always have open roles, but we do keep a file of people we want to work with. Send a short note about the kind of problems you love and what you have built.
Send a note