
Proscia’s Fifth Generation Concentriq uses domain-specific AI models to reduce manual workload in pathology, aiming to speed drug discovery and case review for 12 million annual cases.
Proscia released the Fifth Generation of its Concentriq platform, a redesign that puts domain-specific AI models at the center of pathology workflows. The company said the new architecture lets pathologists focus on high-judgment decisions and helps scientists move from early signals to evidence-based program decisions.
The update arrives as pathology labs face a workload crunch. More than half of pathologists say they don't have enough time to get through their caseload, according to industry surveys cited by the company. Proscia's platform already handles 12 million patient cases a year and serves 16 of the top 20 pharmaceutical companies.
The Fifth Generation is the biggest change to Concentriq in five years, the company said. It required building a new technology stack from the ground up. The platform now integrates frontier vision, language, and multimodal models directly into the core infrastructure, with enterprise-grade security and governance. This lets it unify images, metadata, and case context – slide-level morphology, patient history, lab protocols, translational data – into a single picture that both experts and AI models see.
Coleman Stavish, Proscia's CTO, said the team worked backwards from how pathologists and scientists operate. "Years of learning from our customers have helped us understand where complexity slows them down and where judgment gets crowded out by process," he said. The aim is to reduce that burden so experts can focus on the decisions that matter most, he added.
A key change is in case review. The platform brings the "flow state" of the microscope to digital. It uses intelligent navigation to move pathologists through tissue quickly. Skin slides orient automatically to preserve the mental model needed for depth-of-invasion assessments. Lymph node counts and other repetitive tasks stay connected to the case context. Image analysis runs inside the viewer; pathologists can refine regions of interest and see results update in real time, with supporting evidence available for verification. Reportable findings are assembled in the same pass, cutting manual effort.
The architecture is designed to accelerate biomarker discovery and development. By unifying all the data around a case or study, the platform can surface signals that might otherwise stay buried in separate systems. Outputs are transparent and reproducible, so experts can verify AI-driven leads before acting on them.
The Fifth Generation is already live for Proscia's customer base. The company did not disclose pricing or specific deployment timelines for broader availability.
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