Centaur Labs helps AI leaders and data scientists build training and evaluation datasets at scale, so they can build high quality algorithms. We offer data labeling at scale, from a network of medical experts. Instead of having to choose between the high cost of hiring physicians or the low quality of crowdsourced/blended teams, we offer an alternative that leverages collective intelligence and performance based incentives. Our technology, developed by researchers at MIT, collects multiple opinions per case with labelers competing against each other for cash rewards. This process ensures that quality assurance is baked into the process since the labelers are incentivized to perform at the highest level on every case analyzed. Centaur Labs offers industry leading accuracy, affordable pricing and very low management overhead on the part of the client since all engagements include a dedicated customer success manager. We're backed by Matrix Partners, Accel, Y Combinator, Susa Ventures, and Global Founders Capital (among others) and are well versed in working with researchers, startups and large corporations.