Accelerate understanding by handing off messy lab reports to OpenVitals. AI classifies, extracts, and normalizes — you focus on the results.
Learn about ingestion →Click any observation and see the full chain: source PDF, parser version, LOINC code, confidence score. No black boxes.
Learn about provenance →Ask questions about your health data and get answers grounded in your actual observations. Every response cites the data it used.
Learn about AI chat →AI context bundles pull observations from Quest, LabCorp, manual entries, and wearable exports. One unified view across all your health data.
Learn about context bundling →Create scoped shares by category, time range, and access level. Your cardiologist sees lipids and vitals. Your nutritionist sees diet-related labs. Nobody sees what they shouldn't.
Explore data sharing →Active medications, supplements, dosage, frequency, and daily adherence — all linked to your health timeline and lab results.
Learn about medications →“I finally understand my lab results without having to Google every acronym. The provenance chain is brilliant — I can show my doctor exactly what changed.”
“The scoped sharing is exactly what I needed. My endocrinologist only sees thyroid panels and nothing else. Privacy should always work this way.”
“Open source health data infrastructure is long overdue. The plugin SDK means the community can add parsers for any lab format.”
“Being able to trace every value back to the source PDF with one click is incredible. No more wondering where a number came from.”
“The AI chat is grounded in my actual records — not generic medical knowledge. It cited specific observations from my Quest results.”
“I've used five different health apps. This is the first one where I feel like I actually own my data. The export and provenance features are unmatched.”
Quest, LabCorp, hospital systems, and CSVs. The pipeline classifies, extracts, normalizes, and maps to standard codes.
Track medications, supplements, dosage, adherence, and interactions — all linked to your health timeline.
Build custom parsers, views, and analyzers with the SDK. Register new metrics, add data sources, publish to npm.