Roe AI

Roe AI turns unstructured risk data into something you can query with SQL. The main output is structured datasets built from material that normally sits in documents and web pages, such as dense financial filings.

Roe AI is a data platform for risk and compliance teams that builds unstructured data workflows through a SQL interface with built-in AI agents.

It is geared toward e-commerce companies, fintechs and banks.

The agents handle the legwork on the web.

They gather and synthesize regulatory intelligence from online sources, flag restricted products, and map a seller's full digital footprint.

That last one matters for marketplaces that need to know who they are onboarding.

Because the workflows run through SQL, analysts who already write queries can work with documents and web data in the same way they work with tables, without a separate extraction pipeline.

Roe AI is narrow on purpose.

It is built around risk and compliance rather than general analytics, so it suits teams with that specific problem.

Teams without SQL skills will find the interface less approachable, since SQL is how you build and run everything.