Data with clinical context.
Access proprietary sources through clinical partnerships; source, license and curate cohorts with their provenance and permissions.
Explore the module →Expert-led. Platform-powered.
Execution, coordinated.
Evidence, connected.
The platform behind our managed service connects proprietary data sources through clinical partnerships, model inference, physician annotation and validation—across teams, products and versions.
Explore the platform modules ↓Your evidence control tower
One evidence base.
Every team aligned.
Data science, clinical, RA/QA and product teams need a shared, version-specific account of performance. Gesund connects the model that ran, the cohort it ran on, the expert reference and the resulting evidence.
The same evidence supports different responsibilities—from model investigation to clinical review and regulatory documentation. Customer collaboration, access and evidence handoff are scoped within the engagement.
ClinicalData scienceRA/QAProduct
Connected capabilities
Five modules.
One seamless workflow.
Purpose-built for rigorous clinical execution and the evidence behind regulatory decisions.
Expert judgment at work.
US board-certified physician annotators review images and create labels. Optional customer, third-party or open-source model pre-annotations are reviewed and manually refined.
Explore the module →Resolve disagreement. Preserve the reasoning.
Coordinate readers, quality review and adjudication to create the agreed reference standard.
Explore the module →Bring the model. Keep its history.
Register customer models through supported containers or APIs. Generate cohort-specific inference and retain the version and settings behind each run.
Explore the module →Execute. Quantify. Trace.
Run the agreed evaluation protocol and connect performance results to the model, data, annotations and configuration.
Explore the module →Workflow demos
Explore the modules.
See the work connect.
Data, annotation, expert reference, models and validation—each capability contributes to one traceable evidence workflow.
What does your next study need to prove?
Bring your product, protocol and clinical evidence question. Let’s put the work in motion.