Paige

Paige is a pioneering company in the field of digital pathology, utilizing the largest datasets globally to develop AI technologies that transform pathology and make generative AI accessible to doctors. The Paige Platform facilitates the full digitization of pathology laboratories, enhancing workflow efficiency and AI-driven precision in cancer diagnosis. Paige’s generative AI aims to unlock deep insights into cancer, setting a new standard in pathology by streamlining workflows and providing actionable diagnostic insights. The company’s AI applications, including the Pan Cancer application trained on 1.5 million whole-slide images, detect cancer across 16 tissue types and have demonstrated significant gains in diagnostic accuracy, including a 70% reduction in cancer detection errors and a 65.5% reduction in time to diagnosis. Paige’s products are utilized by renowned hospitals and laboratories across 5 continents, and its AI solutions have been independently validated and clinically utilized worldwide. The Paige Platform is a scalable, AI-ready foundation for digital pathology, offering clinic-ready AI applications that support pathologists in cancer detection and diagnosis. Paige’s Biomarker AI applications detect molecular biomarkers on digitized tissue images that are not typically visible to the eye. The company’s AI applications are validated on more than 11,000 whole slide images and 3,000 different specimens from around the world, and they do not require on-site calibration, delivering high performance regardless of pre-analytical variations. Paige’s FullFocus® viewer supports Z-Stack viewing capabilities, allowing pathologists to review multiple layers of images. The company’s collaboration with Nuance has established a new consultation network, enhancing digital collaboration among pathologists. Trusted by leading healthcare providers, Paige’s AI applications are designed to assist pathologists through routine workflows, offering customized solutions to meet specific needs and overlooking common mimickers that pathologists prefer AI not to highlight.