Azeria is built by Azteron — a team that kept hitting the same wall: AI made every one of us faster, but it stayed single-player. The insight lived in one person's private chat, and the most you could share was a read-only transcript. So we made AI multiplayer.

We noticed the same thing everyone else did: the winning work tools all went multiplayer. Google Docs beat Word by putting a whole team in one document. Figma beat Photoshop by making design a shared, live surface instead of a file you email around. But AI — the most powerful new tool any of us had ever picked up — stayed single-player: one person, one private box, one read-only transcript. We watched ourselves do great work with it — research an account, reason through an incident, draft a plan — and then lose it, because the context and the reasoning were trapped in one window and died when the chat closed.
So we made AI multiplayer. Azeria is an AI coworker that lives inside the same channels and projects where your team already works — it reads the whole thread, jumps in without being @mentioned, and anyone can redirect it or take over mid-run. And because agent work is now a shared, living thing, it feeds one company brain the whole team keeps: a layered memory of who decided what, on which project, connected to which tool. Standing on every integration you've connected — and acting only with a human's approval.
Not slogans — the choices we actually make when we build.
AI belongs in the shared thread, not a private box. It's more useful when the whole team can see it work, steer it and build on it — not when each person queries it alone.
Every write to a connected tool is proposed first and runs only on human approval. Azeria drafts and suggests; people decide.
A company shouldn't forget what it already knows. Going multiplayer means context and decisions compound into a shared brain the whole team keeps — not a thousand private threads that never meet.
An AI coworker should adapt to how teams already work — in channels, projects and threads. Azeria is ambient, not invited: it jumps in when relevant, no @mention required.
We describe only what the product does today. No fabricated metrics, no features we haven't built, no unverified compliance badges.
Built on MCP — as a client and a server — so the AI in your channel can reach every tool your work lives in, and your workspace grows with the ecosystem instead of a fixed list we control.
