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 at.
That’s why many advanced models are trained with reinforcement learning from human feedback (RLHF), where people judge outputs and rate responses to shape the model’s behaviour.
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Rapidata claims to change that by tapping a continuously available, worldwide network of real people, enabling AI teams to gather large volumes of high-quality human judgments far more quickly and flexibly than before.
Founded in 2023, Rapidata sits at the intersection of crowd intelligence and advanced machine learning infrastructure.
Instead of static pools of annotators or traditional data labeling services, Rapidata’s platform gives teams on-demand access to human insight everywhere. That means feedback isn’t limited by geography or segmentation, it scales with demand.
Rapidata’s mission also highlights a broader trend in AI infrastructure: investors and developers alike are beginning to treat human judgment as a core part of the stack, not just an afterthought.
As models become more capable, contextual human insight determines whether those capabilities are useful, safe, and aligned with real-world expectations.
With fresh capital in hand, Rapidata plans to accelerate growth of its human feedback network, onboarding more participants worldwide and improving integration with AI development workflows.
The company believes that the next major scarcity in AI won’t be compute, it will be high-quality human signal, and it wants to build the platform to serve it.
For an industry still figuring out how to scale both intelligence and alignment, a real-time feedback network could be a key piece of the puzzle, and Rapidata is positioning itself as one of the early builders of that future.
