Centaur.ai objectively measures human data quality by providing a workforce management system for teams building high-impact AI. When lives, safety, and outcomes ride on every decision, accuracy cannot be a hope. Instead, accuracy must be engineered into reality from the very beginning. That’s why Centaur doesn’t rely on any single annotator. We engineer accuracy from the start by harnessing collective intelligence, where multiple experts compete, are benchmarked, ranked, and proven, so a stronger signal consistently outperforms any single annotator. The result is training data that consistently surpasses the limits of any one person. With Centaur, builders unlock superhuman annotation quality at scale across text, image, video, 3D, audio, waveform, and the modalities still emerging just beyond the horizon. And because our workflows were forged inside domains where precision is non-negotiable, the models we help power can be trusted inside production systems that cannot afford to guess. This is why our work has appeared in Nature Digital Medicine. It’s why researchers at Memorial Sloan Kettering and Mass General Brigham rely on us. It’s why Microsoft, Paige.AI, Medtronic, and half of the world’s top ten global pharmaceutical companies choose Centaur. We bring the world’s expertise together, amplified by advanced automation, so accuracy becomes the natural state of things, not a fragile aspiration.