Hire your AI coworker

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Manage a fleet of your digital employees on real cloud computers
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Equip them like you'd equip a hire

A digital employee isn't a chatbot or an API call. You set one up the way you'd onboard a person — the same things any new hire gets:

An identity

A real account in your org — its own username and password, or a private key. A security principal you can authenticate, audit, and revoke, exactly like a person.

A persona

What the employee is for: its role, what it owns, how it works — the system prompt, in plain language. This is what makes one employee a research analyst and another an SRE.

A computer

Its own cloud machine — file system, shell, browser, network. Persistent, so it picks up right where it left off.

Tools

Coding agents like Claude Code and Codex, web search, and connectors — the same kit you'd hand a real hire.

Access control

Permissions granted exactly the way a human's are. Whatever a teammate could be given — repo write, a Slack channel, read-only on a database — you grant the employee, and nothing more.
Set those, and the worker is yours — a named, scoped, accountable member of the team, ready in every conversation.

Manage your whole team of AI coworkers

You don't hire one do-everything bot. You hire the team the work needs — a researcher, an engineer, an analyst, an on-call for ops — and each one is its own employee, with its own computer and its own persona.They run independently and in parallel. One drafts a research brief while another ships a pull request and a third watches your logs. You coordinate them the way a manager coordinates people: by talking to each.

Maya — Research Analyst

Drafts the research brief: tracks the space, reads the sources, and turns findings into a cited write-up.
Hire a researcher →

Juno — Full-Stack Engineer

Ships the pull request: picks up the ticket, writes the fix on its own computer, and gets the build green.
Hire an engineer →

Atlas — Data Analyst

Watches your logs and numbers: pulls the data, builds the dashboard, writes the weekly readout.
Hire an analyst →

What they do for you

Not chat, not autocomplete — the kind of work you'd hand a coworker, across the whole org. A sampler:

Closing tickets

Pick up a Linear or Jira ticket, write the fix, open the PR, get it green.

Customer support

Work the support inbox — answer, troubleshoot, refund, escalate the ones that need a human.

On-call & SRE

Watch the logs, triage the alert, open the incident, page a person when it actually matters.

Competitive research

Track competitors and turn findings into a sourced brief — citations, not guesses.

Sales development

Enrich inbound leads, draft the outbound, prep the rep before every call.

Finance & bookkeeping

Reconcile transactions, chase overdue invoices, flag the anomalies before close.

Reporting & analytics

Pull the numbers, build the dashboard, write the weekly readout — data inspected, not hallucinated.

Recruiting ops

Screen inbound applicants, schedule interviews, draft the follow-ups.

Content & marketing

Draft posts, SEO pages, decks, and the newsletter — on brand, as real files.

Start here

The smallest way to begin: hire one employee, give it a task, watch it work. No install. No setup. If you prefer the API, three lines of curl will spin one up.
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