Infrastructure for production AI agents

What we build

An agent that does real work needs somewhere to do it. It executes code, reads and writes files, calls tools, and sometimes runs for hours. Running that on shared infrastructure is a security problem; running it without metering is a billing problem; running it without orchestration means rebuilding retries, approvals, and scheduling for every product.

Theazo provides all three behind one interface. Sessions isolate each end user. Agents run in sandboxes with tool access and return structured output and cost. Primitives — workflows, fleets, teams, chat, approvals, scheduling, knowledge, and tools — are orchestration policies over that same execution core, not separate runtimes.

Who it is for

Theazo is used business-to-business-to-consumer. A company integrates the SDK once, and their end users run agents on isolated sessions. Theazo stays invisible: it handles sandboxing, orchestration, metering, and per-end-user cost attribution, so our customers can bill their own users accurately. Teams that need to keep workloads on their own infrastructure can bring their own compute (E2B, Fly, Modal, Kubernetes) and their own model providers, and still use the same control plane.

How we think about it

Agent infrastructure earns its place by being boring: predictable isolation, honest costs, and behaviour that does not change underneath you. We publish structured costs as integer cents rather than strings, version the API, and document what each endpoint does — because the systems calling us are increasingly other agents, and they cannot ask a human what we meant.