o-MATIC Research Lab
Evolve from asking your chatbot
to putting your bots to real work.
o‑MATIC Factories and Artificial Organizations organize chatbots into teams that work alongside your teams.
The chatbot you are already getting to know becomes a Factory: a multi-agent workflow system with governance, orchestration, memory, and RAG retrieval—connected to the company applications where work happens.
Why it is built this way
o‑MATIC does not replace the human.
It gives the human a factory.
The team still decides. The factory carries the context, the standards, and the record, so the people doing the work spend their attention on the decision rather than on assembling the background to it.
A Server. A team. Finished work.
The point is to give your teams more power—from virtual assistants and on-demand skills to dashboards and finished work delivered into the applications they use every day. That is how AI adoption improves productivity and empowers the people doing the work.
o‑MATIC Server
The connection behind the work.
It remembers what matters, finds the right information, and connects the factory to your chatbot and tools.
Artificial Organization
A team for your chatbot.
It is a small team of AI helpers. Each helper has a job. The team has memory, rules, and a human lead.
o‑MATIC Factory
A Factory makes real things.
Ask by voice or chat. Get spreadsheets, databases, websites, planners, and work in virtually any MCP-connected tool.
How the pieces fit
You talk. The Factory makes the work.
Your chatbot
You talk, type, or share a file.
o‑MATIC Server + Factory
Governance, orchestration, and retrieval shape each request, then connect the right knowledge, people, and company tools.
Finished work
The result lands in the company tools your team already uses—websites, spreadsheets, databases, planners, and connected applications.
What we design for
We build technology. We don’t bet on one AI.
A factory has to work wherever you already start your day. We design against a long list of assistants and coding tools — and we say plainly how deep each connection actually goes.
Whether Claude is better than GPT, or Grok is underrated — that argument isn’t ours to referee. We just build the factory to run wherever you already are.
Full tool integration
Direct access to the factory’s tools — memory, retrieval, governance, orchestration.
Claude Code
Cowork
Codex
Reachable at the prompt layer
Every skill is also plain-language instructions. Point a system prompt at it and it works as guidance — prompt-only today, unless that host adds its own tool bridge.
ChatGPT
Microsoft Copilot
Google Gemini
AI Studio
Ollama
Any system-prompt assistant
The list keeps growing. If your tool takes a system prompt, it can already put the factory to work.
From the research lab
The work behind the factory.
We publish the research, engineering, and case studies that taught us how a factory should behave in real work.
Case study
The human makes the calls.
What a self-design session revealed about keeping judgment visible when AI is doing real work.
Engineering brief
Why retrieval needs context.
A closer look at how working knowledge, decisions, and retrieval belong in the same operational picture.