DEEPSLATE

Built for modern data teams.Context-first execution through natural language.

Deepslate is an enterprise context and execution layer for modern data teams: it builds data pipelines, manages infrastructure workflows, and derives business insights from natural language prompts.

Works With

Launch Dashboard

Natural Language Request

$ deepslate "Please find weekly active user change
over the past 10 weeks."
> Deepslate is working...
> Scanning connectors and schema context...
> Returning a query plan and trend output.

scope: staging | policy: approval_required

What are we building

An enterprise context layer that executes safely in natural language.

Deepslate is an enterprise context and execution layer for modern data teams. It autonomously builds data pipelines, manages infrastructure, and derives business insights directly from natural language.

Use cases

Data engineering teams can build production pipelines via natural language.
Rich context and data source awareness, including all supported data warehouses, docs, and internal data collection.

Platform

One context layer across your data stack

Keep lineage, schema, quality, incidents, and operational intent in one index so every assistant response can be grounded in live system context.

ConnectorsCatalogAgent Runs

Autonomous data stack execution

Use natural language to build and maintain production data pipelines with safe, auditable execution pathways.

Enterprise context awareness

Connect every data source, warehouse metadata, docs, and internal signals so decisions are made with full stack context.

Natural language insights

Ask business and engineering questions in plain English and receive grounded results with execution context.

Workflow

Map

Connect warehouse, lakehouse, dbt, orchestrator, and repo sources into continuous indexing pipelines.

Reason

Use natural language to inspect quality, lineage blast radius, freshness drift, and model ownership.

Operate

Approve generated CLI plans that execute in controlled environments with strict policy constraints.

Security

Approval GatesScoped ExecutionImmutable Logs

Generated plans can require approval before execution, run in bounded environments, and preserve complete audit context from input prompt through final output.