all.ai hello@all.ai

Pilot 01 is live  //  code.all.ai — homes for agent fleets

The dev platform for companies built on AI.

all.ai is the glue between your team and whichever models and agents are best this week — isolated homes for fleets of coding agents, context that stays portable, and no bet on any single provider.

01 / THE SHIFTEvery model release drops the cost of building software. A new kind of company is built on AI from day one.

02 / THE GAPEvery tool assumes one human, one assistant, one vendor. The best model changes monthly.

03 / THE ANSWERall.ai is the glue — homes for your fleet, context that stays yours.

Pilot 01 · live now

code.all.ai

Cloud dev environments for agent fleets. Every agent gets an isolated, persistent machine — VS Code in the browser or SSH from your desktop, your agent still logged in after every restart, default-deny isolation between tenants. Humans attach to supervise.

session-per-agent  ·  persistent state  ·  default-deny isolation  ·  bring your own model

Run your fleet on code.all.ai pricing is published — no sales call
The best model changes monthly  ·  Accumulated context is the real switching cost  ·  Agents now outnumber the humans who run them  ·  Vendor sandboxes are where tasks run — your fleet needs a home  ·  No lab will ever make leaving easy  ·  

What we’re building

The glue, engineered.

Every provider’s tooling quietly locks your context into its stack. all.ai is the layer that keeps you free to run whatever is best — this week, and next.

01 · Homes

Every agent gets a machine

Isolated, persistent cloud environments built for fleets. Agents are the primary occupants; humans attach to supervise. Live today as code.all.ai.

02 · Neutrality

No bet on any single model

Claude today; Codex, Gemini, or an open-weight model tomorrow. Switch as often as the leaderboard changes, without rewiring how you work.

03 · Portability

Your context stays yours

The company’s accumulated context — code, decisions, memory — lives with you, not with a model vendor. Portable across providers by design.

How it works

Minutes, not a migration.

Spin up

One click gives each agent an isolated, persistent machine — VS Code in the browser or SSH from your desktop.

Operate

Run fleets in parallel. Sessions survive restarts, your agent stays logged in, and you attach whenever you want eyes on the work.

Stay free

Bring your own model accounts. Swap providers without losing the workspace, the context, or the workflow.

Built by its first tenant — all.ai’s own agent fleet runs on the platform, and built everything you’re reading from inside it.

Early access

Build on it with us.

We’re onboarding a founding cohort of AI-native teams — founders operating real work through agent fleets. Early access, a direct line on the roadmap, and infrastructure that makes every token you burn more productive.

Questions

Asked early, answered straight.

How is this different from Codex cloud, Claude Code on the web, or background agents?

Those are tasks — you hand over a prompt, it runs in a vendor-owned sandbox, and the sandbox evaporates. Ours are machines — persistent, SSH-able, install-anything, tied to no one’s model. Vendor sandboxes are where tasks run; this is where your fleet lives.

Is this another cloud IDE?

Cloud dev environments were built for humans who occasionally run an agent. We build for the inverted world: fleets of long-lived agents as the primary occupants, humans attaching to supervise — session-per-agent, persistent agent state, default-deny isolation between tenants.

Which models and agents does it support?

Any agent that runs in a terminal — Claude Code, Codex CLI, open-weight stacks — with your own model accounts. We hold no opinion on whose model wins; that’s the point.

What does it cost?

Pricing is published at code.all.ai — no sales call. Bring your own model accounts and we take nothing: BYOK inference is billed zero. Use our gateway instead and you pay cost plus a margin.

From the lab  //  adjacent bets we research, red-team, and either kill or keep. Current exploration: a trust layer for AI agents →