AI-Powered Cohort Explorer

Define cohort criteria in natural language without coding or data expertise. Our AI understands biomedical terms and research concepts, making it easy to explore and filter unfamiliar datasets.

Review and adjust AI-generated cohort criteria using our visual interface. Maintain full control of your cohort definitions by modifying, approving, or refining the AI's suggestions at any step.

Receive immediate cohort size estimates and demographic breakdowns as you design case/control groups, helping you optimize your study design before finalizing.

Build inclusion/exclusion criteria using an intuitive CONSORT-style interface that mirrors familiar clinical trial design workflows. Watch your cohort take shape with interactive charts and tables that update dynamically as you refine your criteria.

Define complex nested conditions and multi-variable logic with ease. Supports full conjunctive normal form logic for maximum flexibility in cohort definitions.

Analyze and filter hundreds of millions of variants—including germline and somatic—within seconds. Build cohorts across massive molecular datasets instantly, so you can focus on discovery rather than data wrangling.

Export cohort definitions to your preferred analysis environment or save them for future use. Continue your analysis using existing pipelines and tools.

Connect to any research dataset—clinical, genomic, imaging, biomarker data—without transformation. Whether your data follows the OMOP standard or custom schemas, the cohort explorer can adapt to your existing data structure with ease.

Use our intuitive configuration UI to define tables, metadata, and few-shot examples. Customize visualization options, column displays, and export variables without requiring technical support.