Zurich’s Rapidata raises €7.2M to build a real-time human feedback network for AI

A growing number of startups are rushing to build software that thinks fast. But one of the hardest parts of teaching machines to improve isn’t raw computing power, it’s human insight at scale.

Zurich-based startup Rapidata has just taken a significant step toward fixing that with a €7.2 million seed round aimed at scaling a global network for human feedback, the essential ingredient for aligning and refining AI models.

The round was disclosed today by EU-Startups, positioning Rapidata as an early player in what could become a major layer of AI infrastructure: a system that compresses feedback loops from humans into AI training systems from weeks or months down to hours or days.

Why human feedback still matters

Modern AI systems have become astonishingly capable at generating text and images, but they still struggle with nuance, judgement and context, the very aspects humans excel ...