AI Data Engineer
The Power of AI with the predictability of code
Leverage AI Agents to autonomously create execution-ready Spark notebooks for data engineering and ETL tasks.
In Partnership with Microsoft Fabric
"Microsoft is a leader in making technology accessible to everyone. By partnering with Al companies like Osmos, Microsoft is further expanding our Al capabilities bringing the innovative Al solutions to our customers. Together, we are working to help customers transform their businesses, by solving some very complex challenges around data ingestion, data cleansing and data wrangling leveraging genAl."
— Dipti Borkar, Vice President & GM, Microsoft
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.
"I clearly see a future where AI autonomously handles much of the data cleanup work that currently demands significant time and resources. We’re excited about the potential of leveraging Osmos AI Wranglers to automate a substantial part of our data wrangling."
- CEO at Healthcare-Tech company
Built for Complexity. Designed for Autonomy
Designed for use cases typically requiring complex data engineering
Tell your AI Data Engineer about your use case
Share docs, source files, designs, schemas, whatever you have on hand. Each agent can handle a use case from end-to-end.
Osmos AI agents will design your purpose-built notebook
Go do more important things while your engineer plans, builds, tests, and iterates providing you with production-ready code.
Oversee the engineer's work at every stage
Monitor the engineer's progress, validate its output, and provide feedback to enhance its work.
Integrate the notebook into your workflow
Schedule the notebook or plug it into your pipeline.
