Serverless infrastructure for long-running AI agents

The problem

Serverless functions timeout after minutes. Your AI agents need hours. We built infrastructure that actually works for long-running workloads.

Cold start

<3s

Max execution

8h

Max compute

8 vCPU

Max memory

16 GB

CPU and memory scale up and down automatically. You only pay for what you use. Don't pay extra CPU and memory while waiting for LLM calls.

Also included

Logs Metrics SSE support WebSockets Session routing Versioning No SDK lock-in

How it works

Deploy your agent. We handle the rest. From first line of code to production in minutes.

01

Write your code

In any language, any framework, using any LLM.

02

Push your code

Deploy your container. We handle the rest.

03

Trigger execution

Each runtime gets isolated, auto-scaling resources.

04

Monitor in real-time

Stream logs, track metrics, debug issues as they happen.

Stop babysitting infrastructure. Start shipping agents.