Your company’s own AI operating system: agents, workflows, data, APIs and the people in them, on one plane under one set of rules. Describe how part of your business works; agents build it.
Every vendor now ships its own agents, and every tool its own automations, each with its own permissions, its own logs and its own bill. The work of your company is spreading across all of them, and three questions get harder to answer every month.
Who is each agent acting as, and with whose permissions?
What did it do, what did it touch, and who approved it?
What is it spending, on which model, for whom?
Your operations need one place to run, with one set of rules. That place has to be yours.
A generated operation still needs somewhere governed to run: a place that waits for people, reaches your systems, prices every model call and stays yours. Today it mostly runs on someone’s personal token, with nothing between the model and the action.
One plane holds everything an operation is made of. Agents assemble what you describe from these blocks, and every block inherits the same identity, approvals, audit and budgets, so the rules hold everywhere from the first run.
Always-on, in 70+ apps and on the phone, with their own tools, skills, limits and versions.
Durable runs that wait days for a person, retry what fails and reach your apps and your network.
Where people step into a running process: a task inbox, forms and approvals, with deadlines and reminders.
Your own data model, business definitions, skills and documents, shared by every agent and workflow.
One endpoint for 30+ model providers on your own keys, with routing, fallback and budgets.
Anything you build, published as a versioned API or an MCP server, with keys, quotas and limits.
Every run, approval and decision is recorded against the work it shaped, in your workspace. Each outcome adds to one governed brain your company owns.
Agents do the building: ours, or your own Claude Code, Codex and Cursor, through the same governed interface. Your team makes the calls that matter.
State the outcome in plain words.
Proposes the data, steps, agents and APIs.
Assembles it from governed building blocks.
Runs the draft end to end, before you release it.
Reviews it and publishes a version. Any version rolls back.
Reads failed runs and proposes fixes for your team to approve.
People step into a running process wherever it asks for them, through forms and an inbox, for as long as it needs.
Every item below ships today and is governed by the same rules from its first run.
| Instead of | Good at | What you still carry | With RocketKind |
|---|---|---|---|
| Integration platforms | Connectors and visual builders | Your people design, build and run every flow; agents are a bolt-on | Agents design, build and run it; your team approves |
| Agent builders | An agent in an afternoon | Durable work, your data, published APIs and governance usually come from somewhere else | Agents, workflows, data, APIs and governance on one plane |
| Durable workflow infrastructure | Reliable long-running execution for engineers | Every integration, approval and agent is code you write and run | Durable by default, with 800+ apps, people in the loop and agents built in |
| Suite platforms | Owning one domain’s processes, like IT or HR | Platform-bound, and delivered by partners | Any system, including the ones inside your network |
| Agents bundled with one vendor | Already in your existing contracts | Agents tied to that vendor’s ecosystem and models | Any model, any system, any cloud |
| Coding agents | Writing code fast | Review, hosting, security and a runtime for what they write | Bring them: they build on RocketKind, under your rules |
We’re opening workspaces to a small group of people and teams. Tell us one process that costs you time every week; it makes a good first thing to describe.
How it’s pricedA monthly plan that grants credits for model and compute, or your own model keys. Every account starts on a trial. Compare plans.
Want help with the first one? We’ll build it with you.