Fourteen projects receiving funding to support R&D, innovation in addressing challenges in therapeutic delivery and unlocking potential of data science to answer pressing life sciences questions.

Medical assessments are rarely black and white. To handle the grey, we offer a rigorous, data-driven approach to QA.

Founder and CEO of Centaur Labs talks to AI Med magazine about the power of collective intelligence.

Understand why traditional labeling pipelines are so hard to scale and learn how our solution can 10X your labeling pipeline in a shorter time frame and with higher accuracy

Learn the how to mitigate the impact of medical error in your data labeling pipeline by intelligently aggregating multiple expert opinions together

Access a collection of dozens of open source image datasets for medical AI across a variety of formats including X-ray, CT, Ultrasound, Whole Slide Imagery, MRI and more

Understand how Centaur Labs' data annotation platform offers richer results than traditional data labeling vendors

Examine the unique challenges with medical data labeling, the relative lack of accuracy produced by traditional data labeling methods, and discover a more accurate and scalable alternative

How Centaur Labs leverages multiple expert opinions to create the most accurate medical data labeling platform for text, image and video data