Accelerators
The risky parts of a Databricks programme, already solved.
Each one removes a slow, risky part of a Databricks programme: migrating a warehouse, getting an agent to production, proving a new version is better than the last, keeping a live workload honest.
We built them because we kept solving the same problems by hand, and they are built to be adopted. Your team runs them in your workspace, with our engineers alongside for as long as that helps.
How they fit together.
The kernel under an enterprise composable architecture. Capabilities publish once as versioned contracts, every mutation passes one governed pipeline, and surfaces render from view contracts they cannot write behind.
A TypeScript framework for durable agents that deploy to Databricks Apps, Temporal or Cloudflare, and keep running through a restart.
A governed migration factory for moving warehouse and ETL estates to Databricks.
A governed delivery accelerator for Databricks Apps and GenAI workloads.
Governed mission control for running data and ML workloads on Databricks.
Mission control for AI agent squads. Where people watch, steer, and approve the work.
A Databricks adoption accelerator for quality engineering, experimentation, and governed delivery.
Put them to work on your Databricks programme.
They come with the engineers who built them, which is the part that makes them useful. Tell us what you are trying to move and we will tell you which of these shortens it.