Concentriq LS

Concentriq® LS is Proscia's enterprise digital pathology platform purpose-built for AI-driven therapeutic research and development. Trusted by 16 of the top 20 pharmaceutical companies, as well as leading CROs and emerging biotechs, it serves as the central hub for AI-enabled scientific workflows spanning biomarker discovery, preclinical development, and clinical trial execution. By transforming siloed, underutilized pathology data into a unified digital foundation optimized for AI, Concentriq LS empowers R&D teams to accelerate pipelines and bring life-saving diagnostics and therapies to patients faster.

The platform unifies data, teams, and applications across global sites and cross-functional teams, enabling real-time collaboration and delivering measurable impact — including a 40% reduction in time spent searching for data, 60% acceleration in workflow cycles, and 13x faster AI model development. With over 120 AI applications available and a real-world data (RWD) database containing more than 12 million whole slide images from over 2 million patients, Concentriq LS redefines what is possible in computational pathology.

Core Platform Capabilities

• Unified Data and Seamless Collaboration: Centralises all pathology data in one platform, enabling scientists across departments, teams, and partner organisations to collaborate in real-time and drive progress.
• Integration with Technology Ecosystem: Interoperability with leading scanners, LIMS, and image analysis applications eliminates vendor lock-in and keeps organisations at the forefront of innovation.
• Enterprise Scalability: Supports the highest-volume organisations managing complex pathology workflows across global sites and cross-functional teams.
• Intuitive, Adaptable Workflows: Configurable platform with automated processes that simplify logistics and adapt to each organisation's specific needs.
• Built for AI: Provides a digital data foundation and AI engine to build models that uncover new insights and enhance capabilities across the R&D pipeline.
• Multimodal Real-World Data: Access to de-identified whole slide images matched to clinical and genomic data at scale, available for incorporation into studies and AI development.

Discovery Stage Features

• Unified, Organised Data: Unlocks the power of enterprise data by centralising it in one AI-enabled platform.
• Comprehensive Global Search: Enables ready access to data to drive faster and more informed scientific decisions.
• Best-in-Class AI Analysis: Allows teams to build and run AI image analysis applications for biomarker quantification directly within R&D workflows for rapid insights.
• All-in-One Viewer: Supports faster reviews for brightfield, fluorescence, and Z-stack imaging in a single interface.
• Research-Ready Real-World Data: Fuels novel biomarker discovery and target identification with exhaustive, diverse datasets.

Preclinical Development Features

• Purpose-Built Scoring Workflows: Boosts productivity with optimised workflows for both primary and peer review.
• AI-Powered Toxicity Assessments: Identifies patterns that may correlate with drug safety and efficacy using leading AI analysis applications.
• Built-In Compliance: Supports GLP studies with audit logs and change-tracking for comprehensive traceability.
• Real-Time Sharing and Collaboration: Speeds up review cycles within and outside the organisation.
• Standardised Study Templates: Enhances efficiency and improves the quality of research data.

Clinical Development Features

• AI-Enabled Optimisation: Improves reproducibility with standardised results and utilises AI-based biomarkers for targeted patient enrolment, stratification, and randomisation into treatment arms.
• Compliance Readiness: Leverages advanced security and logging features designed to support GLP and GCP compliance.
• Pathologist-Centric, Collaborative Experience: Speeds up pathologist recruitment and onboarding with an intuitive, globally accessible platform for faster project starts.
• Automated Data Transfer in Bulk: Drives efficient data sharing at scale between sponsors and CROs.

AI Development and Deployment

• Train and Validate AI Models with Multimodal RWD: Access high-quality, diverse real-world data to augment controlled clinical trial data and support the development of high-performing, clinically viable AI models.
• Concentriq Embeddings: Proscia's foundation model API enables data scientists and AI engineers to convert large datasets into numerical representations optimised for AI model building, leveraging state-of-the-art foundation models directly within the platform — enabling AI development 13x faster.
• Precision Medicine AI Portfolio: Incorporates advanced AI applications — including proprietary and third-party algorithms — directly into image analysis workflows, supporting automated image QC, toxicity assessments, patient stratification, and endpoint measurements.

Concentriq LS is deployed as an enterprise platform supporting global pharmaceutical companies, CROs, and biotechs. It is designed with compliance features to support GLP and GCP requirements and integrates with a broad ecosystem of scanners, LIMS, and third-party image analysis tools, ensuring organisations can build on existing infrastructure while scaling their computational pathology capabilities.