AI-powered Pathology

Automated High-Quality Insights

Meet Galen™, the most widely-deployed AI-powered platform in pathology.

Developed by pathologists for pathologists, Galen is a clinical-grade, multi-tissue platform that helps pathologists detect and grade breast, prostate and gastric cancer, along with more than a hundred other clinically relevant features.

Seamlessly integrated with third party digital pathology software solutions, scanning platforms and laboratory information systems, Galen’s AI-enabled workflows deliver automated high-quality insights that enhance patient safety, increase physician confidence and boost productivity.

Galen serves the world’s leading physicians, health systems and diagnostic service providers. The platform has demonstrated outstanding outcomes in rigorous worldwide clinical studies on multiple scanning systems and staining platforms.


  • Enhanced diagnostic quality
  • Faster results
  • Better patient outcomes
  • Greater confidence
  • Lower workload
  • Streamlined work experience


  • Improved diagnostic quality
  • Faster results
  • Better clinical outcomes
  • Greater confidence


  • Better patient outcomes
  • Higher productivity
  • More efficient workflows
  • Improved service quality
  • Greater physician satisfaction
  • Innovative positioning

Industry Partners

  • The broadest AI platform
  • Field-proven technology
  • Validated performance
  • Open API for seamless integration


Validation study at UPMC on an AI-based algorithm for cancer detection


Ibex Medical Analytics CTO discusses the AI revolution in Pathology


Ibex’s Chief Scientific Officer on AI-powered cancer diagnostics, company raising $38 Million in series B funding and the future of personalized medicine

Galen Breast and Galen Prostate are CE marked, approved for use by ANVISA in Brazil and approved in additional territories. Galen Breast, Galen Prostate and Galen Gastric are not cleared by the FDA and for Research Use Only (RUO) in the United States. Contact Ibex for more information on system configuration, functionality and indications for use.