For platform and data engineering teams, Windmill is an open-source, self-hostable platform that turns scripts into scheduled, orchestrated workflows without relying on a closed automation vendor.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Windmill is working to become the open, code-first operating layer for internal tools, data jobs, and agentic workflows that teams can run in the cloud or on their own infrastructure. Its broader GTM conversation is still early and offers little detailed practitioner workflow evidence so far. The clearest current movement comes from the product: AI Sessions can write scripts, assemble flows, and build applications with workspace context while isolating changes for review. That extends Windmill’s established script-orchestration position into agent-assisted development without abandoning its open-source and self-hosted foundation.
Zoom, Kahoot, CFA Institute, Investing.com, Photoroom, Pave, NOCD, Axians, Panther Labs, Bloomcredit
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Business Profile
Founded in 2022, Windmill is an independent, 26-person developer infrastructure company with $15 million in funding and $2.7 million in 2024 ARR. It grew around an open-source workflow engine that turns scripts and SQL into scheduled jobs, APIs, flows, and internal applications. The business combines a hosted cloud service with self-hosted deployment, giving engineering teams a path from individual automation to governed production infrastructure. Customer references including Zoom, Kahoot, Photoroom, Pave, and Panther Labs show adoption across software, media, education, and security organizations.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Windmill exposes its workspace through API, MCP, SDK, and CLI surfaces. Its MCP server lets agents discover and run scripts and flows while managing jobs, resources, variables, and schedules. The `wmill` CLI supports local development, synchronization, and deployment, while APIs and client libraries provide programmatic control. AI Sessions adds a workspace-aware builder that creates scripts, flows, and applications inside a reviewable fork.
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