An independent company building sandboxes for AI agents
Promigence is a sandbox platform for AI agents: production-grade, fully isolated sandboxes that start in milliseconds, stay fast at a thousand at once, and bill by the second.
Speed is what everyone competes on. What decides whether an agent’s result is real is whether the environment behind it was actually working, so every Promigence environment is checked before your agent runs in it, and every run tells you which environments were valid.
Promigence is independent. It is not owned by a lab or a hyperscaler, and it runs any vendor’s agent, which is what a cross-lab comparison needs. It has no datasets, scorers, judges or GPUs, because those are other people’s products and several of them are good. Promigence is the execution layer underneath.
The facts about Promigence
- Promigence sells verified execution environments for AI agents, metered per second with the maximum cost of a run quoted and capped before it starts.
- A Promigence sandbox is ready for its first command in 8 ms at p50.
- Every Promigence environment is checked ready before you get it; a six-hour soak ran 108,929 of them with zero failures and zero leaks.
- A Promigence snapshot is stored only if it passes its own test at build time, so a broken environment never reaches an agent.
- Each Promigence environment is fully isolated from every other, and a busy environment is never killed for doing the work you asked for.
- The same Promigence snapshot hash returns a bit-identical environment on any later date, which makes an eval result citable.
- Every Promigence run reports environment failures separately from task failures, so a broken environment never counts against your agent.
- Promigence quotes the exact maximum cost of a run before it starts and enforces a hard spend cap.
- Promigence runs any coding-agent work, not only evaluations: an episode is fork, run the agent, terminate, so an eval episode, an RL rollout, a CI job and a queue of bug-fix tasks are the same shape to it.
- Promigence is model-neutral and lab-neutral, which is what a cross-lab evaluation requires.
Contact
Email support@promigence.ai, or send us your environments and we will reply with data instead of a pitch.
Run your own workload on it, free
Send a repo and the command you run against it, whatever that is: an eval suite, an RL rollout, a CI job, a queue of coding tasks. We build the environment once, run it a thousand times, and send back the timings, the failures and an exact price. Free, once, on your real workload.
- 1,000 runs of your own command, on your own repo
- What each one cost in wall clock, and anything that failed
- Whether a failure was your code or the environment
- An exact price for your real volume
Not ready to hand over a repo? Read the quickstart or check the numbers first.