Teammate
Azeria AI Agent
Docs beat Word. Figma beat Photoshop. The winning work tools all went multiplayer — but AI is still one person, one private chat, one read-only transcript. Azeria is the AI coworker that lives in your shared channels and projects: it reads the whole thread, jumps in without being @mentioned, and anyone on the team can redirect it or take over. Standing on every tool you've connected and one shared company brain the whole team keeps.
Bring your team, one shared company brain and every business tool into the same channels and projects.
Azeria is already in the channel — it reads the whole thread and jumps in without an @mention, working in the shared conversation for everyone to see.
Heading the wrong way? Anyone in the channel can stop, interrupt or redirect a running generation on the spot — no bad answer to wait out, no fresh private chat.
Because the whole exchange lives in the channel, any teammate can pick up where Azeria left off and turn it into drafted emails, calendar events and Notion pages — with your approval.

Single-player AI answers one person in a private box, and the most you can share is a read-only transcript. Azeria puts the AI coworker inside the same channels and projects where your team already works — so agent work stops being a thousand private threads that never meet and becomes one shared, living thing the whole company can see, steer and build on.
Conversations, project knowledge, memory and connected actions — one continuous surface.
The whole team and Azeria are in the same conversation across private, public and project channels — it's already in the room and jumps in when relevant, no @mention required.
Azeria works from your project's files and history, so answers reflect what your company actually knows.
Not a flat log — a layered memory: a global company and identity layer, audience-scoped fact rows and a knowledge graph of how people, projects and tools relate, reused across every conversation.
Connect your tools and let Azeria propose actions — you approve, then it drafts the email, creates the event or the Notion page. Every write runs only on human approval.
Six capabilities that turn a chat box into a place where your company actually works.

Azeria is already in the shared channel — not a session you open and invite people to spectate. It reads the whole thread and jumps in when relevant, no @mention required.

Anyone in the channel can stop, interrupt or redirect a running generation on the spot — the way you'd tap a teammate on the shoulder. No waiting out a bad answer.

A layered organizational memory — a global company and identity layer, audience-scoped fact rows and a knowledge graph of how people, projects and tools relate — reused across every conversation.

The AI in your channel reaches into the tools your work lives in: Notion, Gmail and Calendar, any MCP-compatible tool — and Azeria can act as an MCP server itself.

Every write to a connected tool — a drafted email, a calendar event, a Notion page — is proposed first and runs only on human approval.

Workspaces, roles and approval-gated tool actions keep shared work secure and in bounds.

Going multiplayer means the context stops dying in one person's private box. Azeria builds a layered company brain around your people, projects and tools — a global company and identity layer, audience-scoped fact rows and a knowledge graph of how they relate — so decisions and knowledge stay with the whole company and get reused across every conversation, not trapped in one head.
The same workspace, tuned to how each team works — with real workflows and an example conversation for each.

From scattered threads to a shared, remembered engineering context
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From lonely documentation to a coworker in the thread
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Work the account in a shared channel, with an AI coworker who has the context
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From scattered context to a shared, grounded workspace
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Brainstorm, draft, and plan in one shared channel
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From scattered threads and tribal knowledge to a coworker that remembers and drafts
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From scattered answers to a shared HR workspace with memory
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From chasing context to a shared workspace that already has it
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