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What is environment runtime?

An environment runtime is infrastructure that builds, verifies, reproduces and forks the environment an AI agent runs inside, treating the environment itself as the product.

A sandbox provider sells a box that starts: it boots fast, it isolates the process, and what happens inside is your problem. An environment runtime sells an environment that is known good, it ran its own tests before you got it, it reproduces exactly from a hash, and a thousand copies of it are all the same.

The distinction matters because cold start has converged industry-wide to a floor of tens of milliseconds. What still differs by orders of magnitude is how many of your environments were silently broken, and whether the bill is predictable.

This is one of the terms in the Promigence glossary.

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

A person replies, usually the same day. Or write to support@promigence.ai.

Not ready to hand over a repo? Read the quickstart or check the numbers first.

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