Sioma guides your AI agents on how to use your systems. The closed beta opens today.
Today's AI agents don't know how your systems work. Everything an agent does, it derives in the moment: it reads your schemas, guesses at endpoints, plans a sequence, tries it, tries again. It's knowledgeable the way a stranger holding your API docs is knowledgeable.
But the way work actually moves through your business is something else entirely.
You know which of the three customer endpoints is the real one. You know the order matters: that the invoice can't post before the PO clears, that a refund above a threshold takes a different path, that step four has to be undone if step five fails. Today that knowledge lives in your heads or in glue code. There's nothing an agent can hold onto.
So the agent re-derives it. Every task, every time. The market's answer is to make the model smarter at runtime: bigger context, better prompts, more tools, longer reasoning. That helps. But deriving it at runtime has to be paid for, in tokens, in latency, and, because the process is probabilistic, in wrong turns. Nothing is kept between tasks. And when your systems change, nothing tells you what broke; you find out in production.
We want to change this by compiling that knowledge instead of re-deriving it.
Instead of spending model effort at runtime, on every task, Sioma spends it once, at build time. It compiles a domain model of your systems: the endpoints, entities, constraints, and compensations an agent needs in order to act. At runtime, an agent's intent resolves against that model into exact steps. Resolution is deterministic and costs no model tokens, so the same intent returns the same steps every time. When your systems change, you recompile and the model adjusts.
Sioma also stays out of the way of your data:
- We don't hold your data. Your agents read and write directly against your systems.
- We don't hold your API keys. Credentials stay in your infrastructure.
- We don't execute for you. Sioma resolves the steps; your agent runs them.
Today we're opening a closed beta, onboarding a few teams at a time. If you're already running agents in production, or building toward it, sign up, connect your systems, and run the benchmark against your own stack.