Our mission is to accelerate AI breakthroughs in science and healthcare

Better data leads to better models. But - while nearly 30% of the world’s data is generated by the healthcare industry - the majority of it is unstructured or poorly annotated.

At Centaur Labs, we help AI developers make use of healthcare data. Our scalable and high quality data annotation platform continuously measures the accuracy of data annotators, whose annotation quality is motivated by pay-for-performance incentives, and optimized by collective intelligence.

Tom Gellatly, Co-founder and VP of Engineering (left), Erik Duhaime, Co-founder and CEO, Zach Rausnitz, Co-founder and CTO (right)

Our story

CEO Erik Duhaime completed his PhD at MIT’s Center for Collective Intelligence, an institute focused on studying how a group of people, enhanced by technology, can collectively be more than the sum of its parts.

‍In healthcare and research, we often trust a single doctor’s or expert’s advice even though numerous studies have shown that experts disagree with each other at alarming rates. As AI and analytics play an increasingly large role in healthcare, the consequences for bad quality inputs grow. How do you create a model when you lack confidence in the underlying data?
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