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Astropods for startups

Your first agent.
And your hundredth.

Startups get the full Astropods platform, plus free credits and support from our engineers to help you get started.

Learn more

Why startups choose Astropods.

Whether you are shipping your first agent or your fiftieth, Astropods gets you up and running.

Up to $10,000 in credits

We set you up with credits to get started building and running agents with your team.

Credit balanceActive

$8,360of $10,000

Month 112

Support from our engineers

A shared channel with Astropods engineers, and help to get the first agent from spec to production.

#astropods-yourteamExternal
ElenaDeployed. Spend down 58%.
SamAstropodsEvery run is calling the big model just to format JSON. I put the small one in that step.

Production controls on day one

Single sign-on, audit logs, and a spend limit per agent. The same controls the enterprise plan has.

Single sign-on
Audit logs90 days
Spend limit per agent$250/mo
Per-agent secretsVaulted

Who can apply

Not sure you qualify? Apply anyway and tell us about the team.

  1. Less than $5M raised
  2. Incorporated in the last three years
  3. Fewer than 25 people, not a customer today

Takes 2 minutes.

Bring the framework you already use.

An adapter wraps your agent where it stands. The code keeps its own shape, the spec adds the runtime around it, and nothing gets rebuilt to ship.

Questions startups ask

Platform usage — the agents you deploy, the runs they make, and the traces and evals they produce. Model tokens you buy from a provider are billed by that provider.

We try to get back within 2 business days. We read every application, and we write back either way.

You pay for the usage you add from then on.

Yes. There are adapters for Google ADK, OpenAI, CrewAI, LangChain, LangGraph, the Vercel AI SDK, Mastra, and more. If you already have a Dockerfile, point the spec at it.

No. Most teams in the program start there. One agent in production, measured, is the point.

Yes. Your prompts, traces, and evals stay yours, they are never used to train external models, and you can export or delete them on your terms.