Rapidata, a Zurich-based AI infrastructure startup, has raised $8.5 million in Seed funding to expand its human feedback network for AI model development.
The round was led by Canaan Partners and IA Ventures, with participation from Acequia Capital and BlueYard.
Scaling Human Feedback For AI Development
Founded by CEO Jason Corkill, Rapidata provides infrastructure that enables AI teams to gather large volumes of structured human feedback. As AI models grow more sophisticated, the need for high-quality human input to label, validate, and refine datasets has become increasingly critical.
Rapidata leverages a distributed global network of human contributors combined with crowd intelligence systems to deliver feedback at scale. The platform is designed to reduce the time and cost typically associated with dataset annotation and evaluation, helping AI companies iterate more efficiently.
According to the company, the newly secured funding will be used to further expand its global human data network and meet rising demand from AI developers seeking faster and more reliable feedback loops.
Jason Corkill stated that human input has become a key bottleneck in AI advancement. By making structured human judgment available at global scale and near real time, Rapidata aims to enable continuous model improvement rather than periodic release-based updates.
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Supporting Faster Iteration In Competitive AI Markets
As competition intensifies across AI sectors, rapid iteration cycles are becoming a strategic advantage. The startup positions its infrastructure as a way for AI teams to shorten feedback cycles, allowing models to be tested, refined, and deployed more quickly.
By compressing processes that traditionally take months into significantly shorter timeframes, the company aims to help AI builders accelerate product development and improve model performance through continuous human-in-the-loop systems.
About Rapidata
Rapidata is an AI infrastructure company based in Zurich that enables organizations to collect and manage large-scale human feedback for AI model training and evaluation. Through its global contributor network and crowd intelligence systems, Rapidata supports faster iteration, improved model quality, and scalable human input for modern AI development.
