Avandra provides source‑level access to real‑world medical imaging data by integrating directly with health systems' PACS and VNAs, delivering validated, provenance‑tracked datasets that are secure and compliant. The platform’s expert‑guided curation assembles custom imaging collections ready for analysis, supporting standardized metrics, longitudinal studies, and multi‑modal correlation with clinical or molecular data for pharmaceutical, biotech, and AI research.
Funding
$17.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
5OFounders
Product
Problem
Pharmaceutical and AI researchers need large, high-quality medical imaging datasets to develop and validate treatments and algorithms, but imaging data is locked inside health systems’ PACS and VNAs, making it difficult to access, validate, and use at scale.
Solution
Avandra provides source-level access to imaging data directly from PACS and VNAs across the United States, delivering validated, compliant, and provenance‑tracked datasets. The company’s expert‑guided curation removes noise and blind searches, supplying bespoke collections that are ready for analysis. By unifying millions of studies, Avandra enables standardized imaging metrics, longitudinal outcome tracking, and correlation with molecular biomarkers, supporting drug development, regulatory evidence, and AI model training. The platform ensures data security and compliance while maintaining traceable provenance down to each pixel and datapoint.
Target Audience
Primary customers are pharmaceutical companies, biotech firms, and AI/ML developers that require curated, high‑quality medical imaging data for clinical trials, regulatory submissions, and algorithm development.
Features
- Direct, inside‑the‑walls connectivity to health‑system PACS and VNAs for source‑level imaging retrieval
- Automated validation pipelines and expert review to guarantee pixel‑level accuracy and dataset diversity
- Compliance‑by‑design architecture with built‑in provenance tracking and secure data handling
- Bespoke dataset creation tailored to specific therapeutic, biomarker, or AI use cases
- Standardized imaging metrics (e.g., RECIST, volumetric changes) and longitudinal analysis tools
- Integration of imaging data with linked clinical information for comprehensive real‑world evidence