Drop to code. Scale to the cluster.
The canvas is never a cage. Break into Python or R at any node, wire your DevOps, and offload the heavy lifting to high-performance compute — without leaving the pipeline.
Built for the way engineers ship
Version, test, and deploy pipelines with the tooling you already trust.
Git-native versioning
Every pipeline is a diffable file. Branch, review, and merge changes like any codebase.
CI/CD pipelines
Trigger runs from GitHub Actions, GitLab, or Jenkins. Gate deploys on model metrics.
Containerized runtime
Reproducible Docker images per pipeline — same result on laptop, CI, and prod.
REST & Python SDK
Call any pipeline as an endpoint or embed it in your app with a two-line SDK.
Observability
Structured logs, run traces, and drift alerts stream to Datadog or OpenTelemetry.
Export anywhere
One click compiles a canvas to standalone Python, R, or a portable ONNX model.
Offload the heavy nodes to dedicated compute
Flag any operator to run on GPU clusters, Spark, or your on-prem grid. k0gn1t schedules, parallelizes, and streams results back to the canvas — the graph never blocks.
Enterprise-ready from day one
Security, governance, and control your platform team will sign off on.
Ship your first pipeline to production
Start on the free tier, then bring SSO, on-prem, and dedicated compute when you're ready.