Reliable AI Agents for Production

Build, run, monitor, and improve AI agents that deliver real business outcomes.

Agent Engine Architecture Diagram

Two Paths

From developer tools to enterprise platform

Whether you're building your own agents or deploying autonomous teams, Orizin provides the infrastructure to go from prototype to production.

Build and run your own agents with infrastructure designed for agent workloads. Durable execution, tracing, and cost control built in.

Agent teams that perform real work across your organization. Humans set goals and review outcomes. Agents execute.

Start with open-source components, scale with managed infrastructure. No vendor lock-in, full transparency.

Core Capabilities

Purpose-built infrastructure for AI agent workloads. From execution to observability to cost management.

Agents survive crashes, restarts, and infrastructure failures. Pick up exactly where they left off.

Every tool call, LLM interaction, and decision point captured automatically. Full visibility into agent behavior.

Reproduce any agent run step-by-step. Understand what happened, why, and fix it.

Set token budgets, spending limits, and usage policies. Prevent runaway costs before they happen.

Maintain context across long-running tasks. Agents remember where they are, even across sessions.

Coordinate multiple agents working together. Route tasks, share context, manage dependencies.

Developer Experience

Define your agents declaratively, deploy them instantly, and observe every decision they make — all from a single workflow.

Define

Declare agent capabilities, tools, and workflows. Connect to any LLM provider.