We built a visual, self-hosted automation platform that lets technical and non-technical teams build and run autonomous agents across hundreds of integrations — without sending a single byte of data to a third-party server.
Every major automation platform on the market forces a trade-off: vendor lock-in, per-task pricing, or data leaving your servers. We built the alternative.
Teams needed production-grade agents — not toy automations — but the tools that could deliver them came with three non-negotiables: lock-in to a proprietary platform, metered pricing that scaled against them, and their sensitive data processed on someone else's infrastructure.
For regulated industries and security-conscious teams, that last point alone was a blocker. The market had no serious self-hosted answer.
A visual canvas where both technical and non-technical users build multi-step autonomous workflows — no code required for standard flows, fully extensible for engineers.
Agents pause at configurable checkpoints and wait for human sign-off before proceeding — giving teams control over sensitive or high-stakes automation steps.
The entire integration catalog is exposed to agents as Model Context Protocol servers, so agents can call any tool the same way a human would — with full context.
Agent workloads run on Docker workers that scale out to meet demand — no fixed infrastructure cap, no per-task pricing ceiling.
The full stack — builder, workers, integrations — runs on the team's own infrastructure. Data never leaves their servers, satisfying even the strictest compliance requirements.
Integrations Available
Every integration exposed as an MCP server — reachable by agents as naturally as by a human operator.
Tasks Executed Monthly
Production-scale workloads running across thousands of self-hosting teams worldwide.
Data Sent Externally
Complete zero-egress architecture — everything runs on the team's own infrastructure, with no third-party data transfer.