Datus Studio
Datus Studio · A data engineering agent platform

Agent-powered data development, with reusable context built into every delivery

Datus supports Agents across data exploration, warehouse modeling, quality validation, and analysis delivery. The queries, models, metrics, Skills, and business knowledge created along the way become shared context and an OSI-standard metric system, providing a consistent and reliable foundation for future work.

Context-driven data engineering agents

Six core capabilities for context, semantics, workflows, and execution

01 / Build context
Validated query reuse
Schemas and validated SQL → context retrieval → reliable answers
02 / Data modeling & planning
Context-aware data modeling
Business requirements and source schemas → task plan → executable SQL
03 / Connect data ecosystem plugins
Extensible tool access
Data task → Plugin → Airflow / Superset
04 / Build the OSI metric system
Portable OSI semantics
Business definition → OSI model → consistent logic across tools
05 / Distill Skills & knowledge
Reusable workflow Skills
Team process → workflow Skill → consistent execution
06 / Deliver results
Interactive analysis delivery
Analysis request → report and dashboard → interactive Q&A
Demo 1 · Build context

Give Agents context your team has already verified

Datus retrieves questions and SQL the team has already validated, bringing confirmed table relationships and business logic into the current task. The Agent no longer has to guess from the schema alone, making queries and answers more reliable.

Demo 2 · Data modeling & planning

Let Agents plan and complete complex modeling

The Agent combines business requirements with the source schema, breaks down the modeling work, plans the staging, intermediate, and mart layers, then produces SQL that is ready to review and run.

Demo 3 · Connect data ecosystem plugins

Let Agents use the data tools you already have

Datus gives Agents controlled access to tools through Plugins. This demo schedules a check with an Airflow Plugin, and platforms such as Superset can be added through the same extension model.

Demo 4 · Build the OSI metric system

Make metric definitions reusable and portable

Datus turns business definitions into portable OSI (Open Semantic Interchange) metric models, keeping measures, dimensions, and calculation rules consistent across Agents and downstream applications.

Demo 5 · Distill Skills & knowledge

Give Agents a reusable version of your team's process

Package query logic, report templates, execution steps, and permission requirements as a Skill. Agents can follow the team's established method without being prompted from scratch each time.

Demo 6 · Deliver results

Deliver analysis that people can keep questioning

Datus publishes analysis as reports and dashboards. Readers can filter the results, inspect the details, or keep asking questions in chat as the analysis develops.

Start the next data task with the context your team already has

studio.datus.ai · connect your warehouse and start with a real question

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