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Millions of developers choose our open-source Python frameworks when moving from script to scale.
Workflow Orchestration
Turn any Python function into a workflow. One decorator. Full observability. No rewrites.
AI Infrastructure
Build MCP servers in minutes. Connect AI agents to any system. The standard for context delivery.
Same code you wrote. Enterprise scale. SSO, RBAC, governance, and zero infrastructure to manage.
Managed Workflow Orchestration
Production orchestration without the ops. Autoscaling workers, enterprise auth, and observability that actually helps you debug.
Managed AI Infrastructure
Deploy MCP servers with a command. Gateway, registry, and governance for AI agents accessing your business.
From fintech to healthcare, teams rely on Prefect to orchestrate their most critical workflows.
The Data Engineering and MLOps teams were impressed by the elimination of retrofitting requirements. Switching from Astronomer to Prefect resulted in a 73.78% reduction in invoice costs alone.
We took all the Prefect features and designed an architecture that really works for our infrastructure provisioning and our organization.
Horizon is the avenue by which we can best deploy MCP within our organization. Out of the box, take my GitHub repo, launch it, and it just works for us.
Because we've built these bespoke MCP tools with Horizon, I can stay in my LLM chat UI for a lot longer and get the information I need directly without having to tab through all these different places to copy and paste.
Open source to experiment. Cloud and Horizon when you're ready for production.