The AI platform for every layer of work
Build agents, put operators to work, and collaborate across your organization.
One platform from first draft to final answer.
Design agents, give them skills and connect the applications they need to act.
Build the AI layer of your company
Design agents, give them skills, connect the applications they need to act, and choose the models they run on, your keys or ours.
Agents that work like your team
Reusable agents encode how your team works (instructions, tools, and guardrails) so every run starts from your best practice, not a blank prompt.
Explore agentsAt last, a revolution where the means of production do the labor themselves. It would have saved me two volumes of Das Kapital.
Applications connect the dots
Plug agents into the systems you already run so they can read, decide, and act, with humans in the loop when it matters.
Explore applicationsAny model, your keys
Pick the right model per task from a shared registry, catalog or custom, platform-billed or bring your own keys.
Explore modelsRun and automate everyday work
From a question to work that ships. One place to run, share, and follow how your team uses AI.
Start in chat, end in production
Every conversation is a run: grounded in your context, shareable with your team, and one mention away from an operator that takes it from there.
Explore chat
Projects that know the goal
Instructions, files and goals in one place. Agents read the open goals and close them as they work.
Explore projects
A feed your team actually reads
Runs, shares, and updates surface in one feed so the whole workspace stays in the loop.
Explore the feedHire operators, not scripts
Operators are teammates that run your agents on their own: on a schedule, on a webhook, or when someone mentions them.
A teammate in your chats
Invite it to a chat, mention it, and it replies as itself, under the access you granted it and nothing more.
Its own computer
Your repositories, a setup script and files that persist between sessions, so it picks up where it left off.
You can have any operator you like, as long as it works nights. Mine would have shipped the Model T while I slept.
to put one to work: a schedule, a webhook or an event, on top of a mention in any chat it joins.
It remembers
Notes scoped to a project, a chat or a person, searched when they matter instead of pasted into every run.
It asks before it acts
Sensitive steps wait for an approval, which lands in the Issues of the people who can give it.
See operator plansCollaborate without losing control
Workspaces, teams, and sharing keep AI work with the company. Govern access and where data lives, without a second AI stack.
One workspace for the whole org
Shared agents, chats, and projects under orgs, teams, and roles your company already understands, so knowledge compounds instead of scattering.
Explore workspacesHad my marshals shared one workspace, Grouchy would have read the feed and shown up on time. Waterloo would be a footnote.
of access on every agent, skill and application, from read to admin.
of AI work stays in your workspaces, under your access rules.
Isolation
Every workspace stays in its own boundary.
Access
Roles and sharing decide who builds, who runs, who sees.
Deployment
Cloud today, keep sensitive context on your infrastructure when you must.
Ready to put AI to work for your team?
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