We're pleased to announce our partnership with Protege, the platform for AI training data. Through this collaboration, developers who access medical and scientific data through Protege can now also seamlessly incorporate Centaur’s expert annotation services to accelerate AI development.

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“High-quality training data is essential, and accurate annotations and labeling are just as critical, especially in healthcare,” said Bobby Samuels, CEO of Protege. “This partnership will make it easier than ever to build and maintain reliable healthcare AI models.”

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Protege equips data holders with the resources to make their data available for AI use cases quickly and safely, and enables model builders to find and access the data they need with confidence that the data is sourced responsibly. Together with Centaur Labs, which helps health and science organizations accelerate AI development by using its network of over 50,000 experts to label multimodal data, the partnership will enable AI developers to annotate a diverse range of data types available on the Protege platform, from clinical notes to imaging to pathology slides.

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Centaur's annotation services will be integrated within Protege’s platform, allowing developers to easily add expert annotations to training datasets and improving the reliability and quality of their models.

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“A critical bottleneck in the AI development process is data quality — this means both acquisition of raw, multimodal data that creates a holistic picture for AI, as well as the data enrichment and labeling," said Erik Duhaime, CEO of Centaur Labs. "By partnering with Protege, we can solve this crucial bottleneck for developers so they can focus on building AI, not the tedious task of searching for data and then making it model ready."

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