
Proscia
Pathology & Laboratory Diagnostics
Proscia provides digital and computational pathology solutions that help pathologists work more efficiently and accurately in cancer diagnosis.
About Proscia
Proscia accelerates pathology's transformation toward a data-driven discipline with its Concentriq digital pathology platform and AI solutions.
Mission & Approach
Mission
“Intelligence for the Decisions that Matter Most”
AI Approach
Computer vision for pathology image analysis, predictive analytics for biomarker discovery, AI-powered case prioritization and stain recommendations, automated scoring algorithms for PD-L1, HER2, Ki-67 and other biomarkers
Products & Solutions
Proscia Aperture
platformReal-world multimodal pathology data network for research
Proscia Aperture is a real-world data platform that provides access to AI-enriched tissue images, molecular, clinical, and genomic data derived from nearly 4,000 hospitals and clinics. It enables biomarker discovery, cohort feasibility modeling, and assay validation with de-identified patient populations across multiple cancer types including breast, colorectal, prostate, ovarian, lung, and skin cancer.
Concentriq AP-Dx
FlagshipplatformFDA-cleared digital pathology platform for primary clinical diagnosis
Concentriq AP-Dx is an FDA-cleared digital pathology platform for primary diagnosis in clinical labs. It provides intelligent case review with AI-powered features including automated worklists, stain ordering recommendations, integrated image analysis, and structured reporting. The platform supports 45+ scanners, 25+ image formats including DICOM, and integrates bidirectionally with Epic Beaker and most LIS systems.
Concentriq LS
FlagshipplatformPathology AI platform for life sciences and drug development
Concentriq LS is a research-use platform designed for pharmaceutical companies and life sciences organizations. It supports biomarker discovery with frontier pathology models, clinical trial operations across global sites, and companion diagnostics development. The platform includes agentic biomarker discovery tools, real-world data access, and capabilities for assay validation and deployment.
Concentriq AP
FlagshipplatformResearch-use digital pathology platform with AI capabilities
Concentriq AP is a research-use only (RUO) digital pathology platform built on the same technology as Concentriq AP-Dx. It features intelligent case review, AI-powered image analysis with 230+ interoperable AI apps from partners like Ibex, Mindpeak, Visiopharm, Aiforia, and Waiv. The platform includes automated worklists, stain ordering, biomarker scoring, and structured reporting capabilities.
Customer Success Stories
HNL Lab Medicine
hospital
Digital pathology implementation for clinical case review
IQVIA Laboratories
other
Global digital pathology innovation for clinical trials
PathGroup
hospital
Generating new revenue from existing case volume through data partnerships
South Bend Medical Foundation
clinic
Digital pathology transformation for clinical workflow
P&C Labs
hospital
Accelerating same-day case turnaround times
Cleveland Clinic
health system
Digital pathology adoption maintaining pathologist workflow preferences
Hiring Activity
View Open Roles →Product & Market
Product Stage
enterprisePrimary Market
health_systemsCompany Details
- Founded
- 2014
- Headquarters
- Philadelphia, PA, USA
- Employees
- 150
- Stage
- series c
- Profile last updated
- June 22, 2026
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Intelligence for the decisions that matter most
Jun 8, 2026
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Why Precision Medicine Needs an Enterprise Digital Pathology Backbone, Not Just a Vendor
Mar 20, 2026
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What Proscia’s Top KLAS Ratings Mean for Life Sciences Companies
Mar 12, 2026
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Maximizing Your Epic Investment: Why Deep Epic Beaker Integration Matters for Digital Pathology
Jan 29, 2026
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From Glass Slide to Molecular Proxy: The Pathology AI Convergence at AACR 2026
We’ve long said that the next major therapeutic breakthrough may lie in pathology data that already exists. At this year’s AACR Annual Meeting, it became clear the biopharma community is arriving at the same conclusion. Across more than 7,000 abstracts presented in San Diego, multiple independent groups demonstrated that AI applied to routine H&E whole slide images can predict genetic mutations, biomarker expression, and treatment response with accuracy that rivals, and in some cases exceeds, mo
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