Castari is building the deployment platform for AI agents, the way Vercel became the default for web apps.

The world is shifting from “prompting a model” to shipping autonomous software. Agents will run real workflows: pulling data, browsing, generating files, calling tools, and coordinating multi-step tasks. That’s a massive new surface area for reliability, security, and operations.

Right now, most agent teams are duct-taping together infrastructure that was never designed for this. The result is predictable: fragile deployments, unclear failure modes, unsafe execution, and almost no visibility into what happened when an agent goes off the rails.

Castari’s long-term goal is to be the go-to runtime and control plane for agentic applications. A place where teams can deploy agents with confidence, run them safely, observe everything, and scale without rebuilding their stack every time the agent gets more capable.

We’re starting with a deliberate wedge: Claude Agent SDK. Our goal is simple: when you build an agent with the Claude Agent SDK, Castari should be the obvious place to deploy it.