NEW: AI DATA ENGINEER

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

Dedicated Snowflake instance with secure data isolation and consistent performance across 50+ integrations.

Zero Maintenance Required

Eliminates the need for setup or scaling. Updates and operations handled automatically.

Direct SQL Access

Run advanced SQL queries to explore, segment, analyze data, and generate reports that answer any business question.

Elastic and Predictable Scaling

Automatically scales with revenue, not storage, supporting peak seasons without surprise costs.

HOW IT WORKS

You describe the integration.
It ships it in minutes.

Polar AI Data Engineer discovering the ShipHero API and building tables from a plain-language request

Step 1

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.

Picking an exact field from an integration API schema inside Polar

Step 2

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.

Polar AI Data Engineer validating a connector end to end and loading history into Snowflake

Step 3

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.

PROOF