Crosscope
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Crosscope provides explainable AI-powered computational pathology solutions that help pathologists analyze whole slide images for cancer diagnosis and biomarker evaluation. Its OrionAI™ platform and Scope H&E AI tool enable transparent, interpretable analysis of gigapixel-scale images, supporting accurate and faster diagnostic decisions while standardizing pathology workflows.
- Healthcare Technology
- Artificial Intelligence
- Digital Health
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Pathologists face increasing workloads and growing demands for accurate, personalized cancer diagnosis and biomarker evaluation. Traditional diagnostic workflows rely heavily on manual analysis of whole slide images, leading to inefficiencies, potential inconsistencies, and difficulty in scaling to meet rising cancer case volumes while maintaining diagnostic quality.
Solution
Crosscope leverages machine learning and deep learning to build computational pathology solutions that augment the diagnostic workflow through explainable AI. The platform centers on OrionAI™, an explainable AI tool for digital image analysis that moves beyond black-box deep learning to provide transparent, interpretable insights that build trust among pathologists. Crosscope's whole slide imaging analysis harnesses gigapixel-scale image processing to create diagnostic algorithms that assist pathologists in making accurate and faster decisions, with automated image analysis supporting workflow standardization and computer-assisted diagnosis.
Target Audience
Primary customers are pathologists and clinical diagnostics laboratories adopting digital pathology workflows, along with cancer screening programs and healthcare institutions seeking AI-powered precision medicine tools for diagnosis, prognosis, and treatment planning.
Features
- OrionAI™ explainable AI platform for transparent digital image analysis, addressing trust and confidence concerns with end users
- Scope H&E AI for automatic cell spotting, detection, and quantification of nuclei in H&E-stained slides to support cancer analysis, diagnosis, classification, and grading
- Gigapixel-scale whole slide image analysis capabilities that capture diagnostic-quality representations of scanned glass slides
- Machine learning and deep learning algorithms for cancer imaging, diagnosis, and biomarker evaluation across the precision medicine pipeline
- Computer-assisted diagnosis and automated image analysis designed to standardize and streamline pathology workflows