From data bottleneck to a smarter way to build AI.
We founded Claro after experiencing first-hand how hard it is to prepare data for machine learning at scale.
At companies like Delivery Hero, Rocket Internet, Yelp, and Autodesk, and in research institutes worldwide, we saw the same pattern: months-long annotation campaigns, weeks of iteration, and massive costs before a single new model could go live
We knew there had to be a better way. With advances in large language models, knowledge distillation, and model compression, we set out to bring cutting-edge methods out of the lab and into the hands of every business.
Claro was born from that vision: to make high-quality data accessible, fast, and effortless — so companies can focus on building applications, not battling bottlenecks.
