Concentriq LS serves as a central hub for AI-enabled scientific workflows, from biomarker discovery to clinical trial execution, within life sciences organizations. It is built to drive the evolution of computational pathology, transforming siloed and underutilized data into a digital foundation optimized for AI. This empowers R&D teams to push the boundaries of pathology, accelerating the development and delivery of life-saving diagnostics and therapies to patients. The platform is engineered for the complexity and speed of modern science, offering unified data and seamless collaboration across departments, teams, and partners for real-time analysis. It ensures interoperability with leading scanners, LIMS, and image analysis applications, preventing vendor lock-in. Concentriq LS provides enterprise scalability, supporting high-volume organizations managing complex pathology workflows across global sites and cross-functional teams. Its intuitive and adaptable workflows allow for configurability based on organizational needs, including automated processes that simplify logistics. The platform features a robust digital data foundation and an AI engine for building models that uncover new insights and enhance capabilities across the R&D pipeline, including access to de-identified whole slide images matched to clinical and genomic data at scale. Concentriq LS powers insights and accelerates R&D at every stage, helping scientists and pathologists collaborate, work faster towards milestones, and unlock critical insights for decision-making. It enables organizations to access, organize, and leverage proprietary and real-world data to build and deploy computational pathology AI applications that advance drug discovery and development. This includes training and validating AI models with multimodal real-world data, building novel AI models faster with Concentriq Embeddings (Proscia’s foundation model API), and incorporating advanced AI applications directly into image analysis workflows for enhanced toxicity assessments, patient stratification, and endpoint measurements.

Features & Benefits

• Unified Data & Collaboration
  • Centralizes data to enable real-time collaboration among scientists, departments, teams, and partners, driving progress and informed decisions.
• Ecosystem Integration
  • Offers interoperability with leading scanners, LIMS, and image analysis applications, eliminating vendor lock-in and fostering innovation.
• Enterprise Scalability
  • Supports high-volume organizations managing complex pathology workflows across global sites and cross-functional teams.
• Intuitive, Adaptable Workflows
  • Provides platform configurability based on organizational needs, including automated processes that simplify logistics.
• AI-Ready Digital Foundation
  • Features 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
  • Provides access to de-identified whole slide images matched to clinical and genomic data at scale for studies and AI development.
• Accelerated Discovery
  • Efficiently identifies, explores, and matures high-quality candidates.
  • Unified, Organized Data: Centralizes enterprise data in an AI-enabled platform.
  • Comprehensive Global Search: Enables rapid access to data for faster, informed scientific decisions.
  • Best-in-Class AI Analysis: Builds and runs AI image analysis applications for biomarker quantification.
  • All-in-One Viewer: Facilitates faster reviews for brightfield, fluorescence, and Z-stack imaging.
  • Research-Ready Real-World Data: Fuels novel biomarker discovery and target identification.
• Streamlined Preclinical Development
  • Helps organizations get to clinical trials faster with increased confidence.
  • Purpose-Built Scoring Workflows: Boosts productivity with optimized primary and peer review workflows.
  • AI-Powered Toxicity Assessments: Identifies patterns correlating with drug safety and efficacy using leading AI analysis.
  • Built-In Compliance: Supports GLP studies with audit logs and change-tracking for traceability.
  • Real-Time Sharing and Collaboration: Speeds up review cycles within and outside the organization.
  • Standardized Study Templates: Enhances efficiency and improves quality of research data.
• Optimized Clinical Development
  • Streamlines trials and maximizes success.
  • AI-Enabled Optimization: Improves reproducibility with standardized results and utilizes AI-based biomarkers for targeted patient enrollment.
  • Compliance Readiness: Leverages advanced security and logging features for GLP and GCP compliance.
  • Pathologist-Centric, Collaborative Experience: Speeds up pathologist recruitment and onboarding with an intuitive, globally accessible platform.
  • Automated Data Transfer in Bulk: Drives efficient data sharing at scale between sponsors and CROs.
• Advanced AI Model Development & Deployment
  • Empowers organizations to build and deploy computational pathology AI applications.
  • Train and Validate AI Models with Multimodal RWD: Augments controlled clinical trial data for high-performing, clinically viable AI models.
  • Build Novel AI Models Faster with Concentriq Embeddings: Converts large datasets into numerical representations optimized for AI model building.
  • Run AI Algorithms to Accelerate R&D Workflows: Incorporates proprietary and third-party algorithms into image analysis workflows for enhanced capabilities.