AI Data Engineer
Agentic Data Agents for your Databricks Workspace
Leverage AI Agents to autonomously create execution-ready PySpark notebooks for data engineering and ETL tasks – right within you Fabric environment.
Where Traditional ETL Taps Out,
Osmos Steps In
How the AI Data Engineer goes beyond traditional ETL tools
Autonomous by Design
Tell us what you want,leave the engineering to your AI Data Engineer.
Built to Adapt
Handles complex data, massive datasets, and intricate transformations with ease.
Code you can trust
Autonomously designs, builds, and executes test plans, ensuring reliable, production-ready code.
“Data-driven innovation is essential to enterprise success. AI-driven solutions like Osmos supercharge data engineers and empower business analysts to tackle complex data challenges. By leveraging the full power of the Databricks platform, Osmos helps organizations unlock the true potential of both their data and their people. Together, Osmos and Databricks are helping organizations transform data into a catalyst for innovation.”
— Bryan Smith Head of Industry Solutions, Consumer Industries, Databricks
Build for Complexity. Designed for Autonomy

Set up Databricks credentials for Osmos
Give Osmos Data Engineer access your Databricks instance safely by respecting catalog and workspace access defined by your Databricks admin.

Configure yourOsmos AI Data Engineer
Point the AI Engineer to your code and give it tasks.

Grab a cup of coffee while your task completes
The AI Engineer will make copies of the code and schema in the safety of your environment. It will then make the necessary changes, update code, update its copy of tables and exhaustively validate its own work.

Review and approve
Review the AI Engineer's work and merge in the changes.