Assign the work
Write the spec once. Route it to the right seat, model, and effort — or let Mission Control pick. One place to task the whole fleet.
The command center for AI agents
Run your entire AI org
from one screen.
Mission Control is the command center for a whole team of AI agents — your autonomousengineer, marketer, researcher, chief of staff and more. They do the work across dev, marketing, research, and ops. You stay in command of every move.
You're on the list.
We'll email you once — when your early-access invite opens. No spam in between.
One quick thing — who are you setting up Mission Control for?
Thanks — noted.
Running a team of agents already? Book a demo →
Built to keep a human in command · honest by design
Runs the agents you already use
- Claude
- GPT
- Codex
- Gemini
- your MCP tools
The problem
One agent is easy. An org of them is chaos.
Agents scattered across a dozen tabs and tools. No shared queue. No idea what ran, what it cost, or whether it was any good. You become the bottleneck — the only thing holding the whole thing together. That doesn't scale, and it isn't safe.
How it works
Assign. Run. Review. Repeat.
Run & watch
Agents execute across lanes while you see live status, throughput, and cost in one view. No tab-switching, no guessing what ran.
Review & ship
Nothing ships unreviewed. Approve, correct, or roll back — and every action is written to a run ledger you can trace.
The command center
One screen for the whole fleet.
One queue across every function
Dev, marketing, research and ops share a single board — not a dozen tabs.
Nothing ships unreviewed
Work lands in Review and waits for your call. Guarded done, by default.
Cost on every card
See what each run drew, per agent and per task — no surprises at month-end.
One org, every function
Not just coding agents.
Mission Control runs the whole company's worth of work — each function as a seat with its own model, its own review, its own record.
Ship features while you sleep.
A plan → build → review chain opens a pull request with tests run and a rollback path recorded. You approve the merge.
Turn a brief into a shipped post.
A research → draft → edit chain produces an on-brand post, fact-checked and queued for your sign-off before anything publishes.
Answer hard questions, with sources.
Fan out across sources, adversarially verify the claims, and synthesize a cited brief — the messy part handled, the judgment left to you.
Keep the pipeline full.
Recurring content jobs draft, fact-check, and stage work for approval on a schedule — so the calendar never goes quiet.
Run the operation.
Daily triage, weekly digests, and a read on every agent and run — summarized for you, so nothing important slips.
Why Mission Control
Autonomy you can actually trust.
The hard part of AI agents isn't capability — it's control. Mission Control is the layer that makes a fleet observable, reversible, and yours to command.
You approve what matters
Plan-before-execute gates on anything high-stakes. Agents propose; you dispose. Autonomy widens as trust is earned, never before.
Every action is on the record
A run ledger for every job — what was asked, what was decided, what was not verified, and the rollback path. Done is machine-verified, not agent-asserted.
Real cost, in the open
Per-agent and per-task cost and throughput, shown honestly. Every number on screen traces to its underlying rows.
Pricing
Simple, honest pricing.
One price per seat. No usage-metering games — you already see every agent's cost inside Mission Control.
$99/ seat / month
- Every seat runs your full agent org — dev, marketing, research, ops
- Run ledger, review gates, and cost visibility on every job
- Bring the models and MCP tools you already use
Founding cohort — join the waitlist now and lock this price before launch.
Join the waitlistQuestions
Straight answers.
Do the agents run without me?
No. Anything high-stakes goes through a review gate — agents propose, you approve. Autonomy widens only as you build trust, and you can pause or roll back any run.
Is this just for engineers?
No — that's the point. Mission Control runs a whole org of agents: engineering, marketing, research, content, and chief-of-staff work, all from one screen.
Why not just use the agents directly?
One agent isn't an organization. The hard part — and where projects actually break — is running many agents across functions with routing, review, cost control, and a record that travels with the work. That coordination layer is Mission Control.
What about my data and security?
Least-privilege by default, a full audit trail of every action, and your data isn't used to train anyone's models. We tell you plainly what's live today and what's still on the roadmap — no overclaiming.
Which models and agents does it run?
The ones you already use — Claude, GPT, Codex, Gemini, and your own MCP tools. Route the right model to the right task, and see the cost of each.
How much will it cost?
$99 per seat per month at launch. Join the waitlist and the founding cohort locks that early pricing.
What does joining the waitlist get me?
Early access in waves as we open the doors, founding-cohort pricing, and the occasional honest build update in between. We'll email you once when your invite is ready — no spam.
Put your AI org under one command center.
Join the waitlist for early access. We'll email once — when your invite opens.
You're on the list.
We'll email you once — when your early-access invite opens. No spam in between.
One quick thing — who are you setting up Mission Control for?
Thanks — noted.
Prefer a live walkthrough? Book a demo →