Command
Model it. Generate it.
Govern it.
Using Command, we model your domain as your Cosmos. An agentic loop turns its requirements into running software — scheduled, built, verified, and deployed. You define the system and approve what ships.
The Problem
You don't need a better tool.
You need an actual system.
“I have the idea. AI can write the code. But nothing connects it to my vision, my requirements, my deployment.”
Jira tracks tasks but doesn't know your vision. Cursor writes code but doesn't know your requirements. Vercel deploys but doesn't know if what shipped works. Each tool covers one step; you cover the seams, by hand, every day.
Your tools aren't bad. Nobody closes the loop between them, so three months in, nobody can tell you whether what shipped matches what you planned. Command is that loop.
How It Works
Model it. Generate it. Govern it.
Your operation is defined as a structured model — capabilities, workflows, requirements, roles, data flows, deployment topology. That model is your Cosmos, and it is the source of truth: software is generated from it, and everything traces back to it.
01
Articulate
Describe your vision by voice or text. AI refines it, pushes back on scope, and decomposes it into capabilities with testable requirements.
02
Generate
Schedule a requirement and agents break it into proposals and build them — from the model, not ad hoc.
03
Govern
Nothing runs until you schedule it. No requirement is done without a passing verification. You approve every production release.
04
Converge
Nightly audits score the system against its own requirements. A deficiency loop works through open defects.
Your Cosmos
Command is the tool. The model is yours.
Everything Command does, it does to your Cosmos — your model and its full engineering record. It belongs to you, not to us.
Under the Hood
What the agents do today.
Schedule a requirement and agents break it into proposals and build them. A deficiency loop works through open defects. Audits run nightly. The rest of the agent system is still being built.
Full Traceability
Vision → capability → requirement → code → test → deployment. Every entity traces to why it exists; every release shows what it delivered against the model.
Self-Hosting Proof
Command builds Command. Its own development is modeled as a Cosmos and run through the same loop.
Read the self-hosting case →Every Surface
Web, iOS, macOS, Android, CLI, and MCP. Approve a deploy from your phone, review a plan from the terminal, or let your own AI tools work with Command through MCP.
Constellations
Command is the tool. Constellations are how it meets a domain.
A Constellation packages entities, workflows, and logic for one vertical, so your Cosmos is composed rather than modeled from scratch. The Helium Constellation runs real industrial gas operations today.
Station
Your infrastructure. Your terms.
Today, the software Command generates runs on AWS. A Station will be the on-premise hardware your Cosmos runs on, for critical systems that should not be tenants in someone else's building.
Proven
Built the system that moves
20% of global helium.
One engineer, multiple independent production systems — enterprise energy logistics, helium operations, industrial gas platforms, and more — all built and managed with Command.
Who It's For
Operators. One Cosmos at a time.
Operators
Your operation runs on spreadsheets, phone calls, and tribal knowledge
You run helium, energy, logistics, or another regulated industrial operation, and the system holding it together lives in inboxes and one person's head. Command turns that into your Cosmos: a model you own, that survives turnover and that an audit can read.
How We Deploy
Your own Cosmos — not a tenant in someone else's
We compose your Cosmos from the Constellations that fit — Helium today — build your software from it, then extend it with you. Each customer gets their own deployment, not multi-tenant SaaS. Today we operate Command on your behalf; in time, you will be able to build with it yourself.
Without the System
Requirements drift from code.
Code drifts from architecture.
Architecture drifts from vision.
Every new AI tool adds speed to one step and another seam to the whole. Inference gets cheaper every quarter, but without a model it is just a faster way to produce drift.
The alternative: you describe what the system should do, and agents build it from the model. You review where the system stands against your vision — not the code.
Model it. Generate it. Govern it. Converge.
The system that builds itself is the system that builds yours.