The Operational Control Plane for AI-Assisted Engineering.
Define workflows. Orchestrate agents. Compare outputs. Preserve engineering knowledge. Maintain a complete record of how AI-assisted work was produced.
Built for engineers who direct, compare, validate, and govern AI-assisted work rather than surrendering engineering process to opaque automation.
Engineering organizations need a durable system that preserves workflows, standards, review processes, and engineering knowledge, regardless of which model executes the work.
Ringmaster sits above the models. It provides the governance, replayability, provenance, and operational control required for serious AI-assisted engineering.
AI-assisted engineering needs its own operational layer. Ringmaster provides:
The result is a durable engineering record, independent of any specific model vendor.
Define workflows as structured stages with contracted inputs and outputs. Each stage is auditable; prompts and schemas are versioned alongside your repo.
Run identical workflows across multiple frontier providers and local open models in parallel. No favored vendor; outputs sit side-by-side for diff and comparison.
Every run is tracked: inputs, outputs, model versions, latencies. Artifacts can be replayed, diffed, and exported. Built for review, not surrender.
Ringmaster is not yet generally available. We onboard teams in small cohorts. Tell us how you run AI-assisted workflows today and we'll let you know when there's a slot.