Serverless AI Agents.
Deploy production-ready agents in minutes.
Scale to zero when idle. Wake on demand.
$0.00/hr when idle · production in 3 minutes · any framework
$ git push origin main
remote: Resolving deltas: 100% (5/5), completed with 3 local objects.
remote: -----> Building agent "customer-support-v1"...
remote: -----> Provisioning isolated runtime...
remote: -----> Setting up secure gateway...
remote: ✓ Deployed to https://api.a4s.sh/v1/customer-support-v1
remote: ✓ Scaling to zero — $0.00/hr until first request
The real cost of
rolling your own.
Every AI startup hits the same walls. Infrastructure shouldn't be the reason your runway disappears.
Cloud bills eat your runway
$300+/mo on AWS before your first user. Compute, database, load balancer, logging — it adds up fast.
Scale to zero when idle. $49/mo for most early workloads. Per-agent cost tracking, no surprise bills.
Two weeks of plumbing before your first user
Task queues, background workers, state database, polling endpoints, streaming — none of it is your product.
Push code, get sync and async invocation. No plumbing.
Your agent broke and the logs say "200 OK"
Hallucinated, dropped context, crashed mid-chain — your cloud logs show a successful request.
Every invocation recorded with status, errors, and timestamps.
How it works
Push. Scale. Done.
Push to deploy.
Any framework, any language. Connect your repo — every push builds, deploys, and routes automatically.
~/my-agent
$ git push a4s main
remote: -----> Building agent "support-v2"...
remote: -----> Provisioning runtime...
remote: -----> Verifying strict mTLS...
remote: ✓ Deployed in 34s
remote: ✓ https://api.a4s.sh/v1/support-v2
Scale without thinking.
Scales to zero when idle. Wakes on demand. Pay for actual compute, not idle servers.
Stop managing infrastructure.
Start shipping agents.
Join the waitlist. Deploy your first agent in under a minute.