Production AI agents, inside the operations of real companies.
A multi-tenant agent platform. Agents live where teams already work, Slack, Telegram, WhatsApp, the web, and do the operational work: drafting, researching, finding leads, running campaigns, moving data between systems. If it has an API, the agent can use it.
How a request becomes finished work.
Every message runs through an isolated, per-tenant runtime. The agent reasons, calls governed tools, delegates to subagents, and returns the result to the channel it came from.
Isolation by default. Each tenant runs in its own workspace with policy-controlled tool access - no shared state, no cross-tenant reach. Governed tools. Agents only ever see the tools and credentials their workspace is permitted to use.
What the agents actually do.
Not chat. Completed operational work, delivered into the channel the request came from.
Produce finished reports
Pull from live systems, analyze, and return a structured deliverable - not a prompt-and-paste draft.
Run campaigns & outreach
Find leads, draft and sequence messages, and act across the tools that hold the data.
Manage operations
Move information between ERP, sheets, drive, and email; keep records and workflows in sync.
Reason over a knowledge base
Persistent, per-tenant memory means the agent remembers context across days, not just one thread.
Engineered for production, not a pilot.
Live, today, doing real work.
Not a demo and not a pilot. Agents running day to day inside operating businesses, across content, campaigns, back-office, and data work.
Bringing production AI agents into the verticals and markets that automation hasn't reached yet.