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CareFrame

CareFrame is a cloud‑based platform that unifies the entire clinical research lifecycle, providing version‑controlled study design, IRB protocol generation, and multi‑modal data analysis in a single governed workflow. It integrates real‑time evidence streams from clinical data, literature, genomics, and social determinants, and automatically produces structured, citable evidence packages with full provenance and compliance documentation.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Clinical researchers and data scientists face fragmented tools for hypothesis generation, protocol design, multi-omics analysis, and regulatory compliance, leading to manual data integration, version‑control gaps, and difficulty producing auditable evidence packages.

Solution

CareFrame offers a cloud‑based, agentic pipeline that unifies the entire research lifecycle—from hypothesis framing and study design through IRB protocol generation, multi‑modal data analysis, and compliance documentation—within a single governed workflow. The platform provides version‑controlled study scaffolding, real‑time confidence aggregation across evidence streams (clinical data, literature, genomics, and social determinants), and automated generation of structured evidence packages with full provenance. GPU‑accelerated genomics pipelines and integrated analytics enable rapid variant calling, annotation, and pharmacogenomic reporting, while standardized outputs are ready for peer review, regulatory submission, or downstream research.

Target Audience

Primary users are clinical researchers, genomics analysts, data scientists, study coordinators, regulatory affairs professionals, and lab directors who need a unified platform for designing, analyzing, and documenting multi‑omics studies.

Features

  • End‑to‑end study management with version‑controlled protocol design, cohort definition, and IRB documentation
  • Multi‑modal evidence convergence that aggregates clinical, literature, genomics, and SDOH data streams in real time
  • GPU‑accelerated genomics workflow (alignment, variant calling, annotation, PGx, structural variant analysis) with single‑command execution
  • Automated generation of structured, citable evidence packages including provenance logs, compliance audit trails, and citation linking
  • Hierarchical version control and immutable audit logs for every protocol change and analysis step
  • Integrated compliance features meeting SOC 2 Type II and HIPAA standards for secure, regulated research environments
This profile is AI-generated and may contain inaccuracies.