We've developed three major new product areas: anti-fraud tools that analyze user patterns across apps, a real-time credit system that uses real-time data to assess credit risk, and improved bank payment analytics.

The company's success is attributed to its ability to build a powerful data platform that addresses complex customer needs.

Our strategy has always been to build the API for bank account linking, but we also aim to leverage the data we collect to create valuable analytics products that can transform financial services.

The success of our operational data business created the momentum to explore building applications, which was a significant evolution for Scale AI.

We aimed to build an analytics platform that allows investors to answer their own questions using credit card data.

Our business evolved to include AI-based applications and agentic workflows for enterprises and government customers, moving beyond just data production.

We automate the process of analyzing customer feedback, allowing companies to understand sentiments and make data-driven decisions.

We utilize proprietary models and APIs to generate insights, allowing us to scale our services and provide timely information to clients during meetings.

During their time at Y Combinator, Segment initially applied with a classroom tool idea, but after receiving critical feedback, they shifted focus to analytics tools.