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An agent-first workspace for data, execution and intelligence.

3 layers
one workspace
operating view
L3Intelligence
L2Execution
L1Data
Intelligence
agents, context, automations
Execution
pipelines, deployments, dashboards
Data
warehouse, volume, sources

Your workplace brain

A centralized home for your data and everything you do with it end-to-end. Self-host the platform so data never leaves your private network.

Intelligence

Agents work with the shape of your data and the state of the platform already in context. Instead of a generic coding chat, they understand the workspace behind the work.

  • agents
  • data
  • skills

Data

Use a unified warehouse for analytical tables and a common volume mounted across compute. Connected sources bring external data into the same workspace without ingestion.

  • warehouse
  • volume
  • query

Visualizations

Turn live data into dashboards, reports, and operational views that stay connected to the work underneath instead of becoming a separate reporting layer.

  • dashboards
  • reports
  • views

Execution

Run scripts and notebooks as pipelines, ship model endpoints, with the operational context staying attached instead of scattered across separate systems.

  • pipelines
  • deployments
  • clusters

Development

Work on code in the same workspace where it runs. Inspect output, keep context visible, then turn the same source into a pipeline task or deployed endpoint.

  • python
  • sql
  • workspace