Centralize all your data with Polar AI Data Engineer
Describe the data you want in plain language - it reads the API, writes the connector, and pipes it straight into your warehouse.
Rolling out now to early access teams.
Enterprise-Grade Infrastructure
Zero Maintenance Required
Direct SQL Access
Elastic and Predictable Scaling
You describe the integration.
It ships it in minutes.
Ask: say what you need, in plain language
The AI Data Engineer reads the source documentation and lays out everything the API offers, organized by category. Pick what you want - or import it all. No code required.
Get the exact field or metric you want from any integration
Even a connector you already trust can go deeper than it was built to go. If the API has it, you can have it - down to a single hidden field.
Build. End-to-end integration in minutes.
It writes and validates the connector, then previews real rows for you to confirm. On approval, your full history loads into your own Snowflake warehouse.
How early adopters have
been using it
Meta ad spend broken down by age - a dimension their connector never tracked.
Automatic discount names out of Shopify. The API reports the amount, never the name. Shopify's own AI couldn't get it. So they asked ours.
Build a single source of truth for your team and agents
Chat your way into unlimited data sources.