We are transforming the diagnosis, treatment, and prevention of cancer.
Through cutting edge AI, we help pathologists improve the efficacy and efficiency of their work, researchers generate new insights, and clinicians improve patient care.Learn More
Pathology is the cornerstone of clinical diagnosis in cancer today. The field is on the cusp of a revolution from a qualitative to a quantitative discipline. The PAIGE is trained by the world's foremost cancer experts and hundreds of thousands of digital slides.
Artificial Intelligence is at PAIGE's core. Our experts have a decade of experience in building large scale machine learning systems for computational pathology. Now they are working on developing novel deep learning and ensemble models to create the first ever clinical-grade AI for pathology.
PAIGE will guide pathologists, clinicians and researchers via our robust clinical decision support system. Clinical experts will gain massive efficiencies and reproducibility of their data.
We are the first to have AIRI, the most advanced architecture ever built for scale-out AI. AIRI has GPU performance of more than 10 petaFLOPS, which is allowing us to train our models at an unprecedented scale. Our unique, scanner-neutral slide viewer will provide our end users with easy access to PAIGE.
To revolutionize the clinical diagnosis and treatment of cancer through the use of artificial intelligence. We are bringing together the world's leading experts in computational pathology, clinical practice, and artificial intelligence to create a platform that will drive a quantum leap forward in the diagnosis and treatment of cancer, all at a lower cost.Join Usarrow_forward
Why PAIGE is Unique
Powered by robust machine learning models, specifically designed for computational pathology
Driven by AI techniques that have been validated against one of the world’s largest datasets in pathology
Conceived by some of the world’s most renowned thought leaders in pathology
Propelled by funding from visionary investors and serial entrepreneurs