Cited health intelligence — environmental health, biomarkers, longevity.
Verified sources, hallucination-free, citation-backed biomedical insight.
A precision, cited health API for digital health platforms, insurers and population-health teams. Send a location and a condition for real-time environmental risk — or a biomarker or longevity signal with no location at all — and the same engine returns the peer-reviewed evidence behind it.
Rapid frontal passage with a 6.2 mb pressure drop over 24h — consistent with trigger conditions in barometric migraine literature.
This PM2.5-and-heat combination is associated with elevated cardiovascular strain — ranked citations and effect sizes returned against your readings.
This biomarker cluster maps to elevated cardiometabolic and all-cause mortality risk in longevity cohorts — returned as cited literature with effect sizes, not a clinical reading.
Cited evidence is the trust mechanism.
It turns your platform's data into a reason for users to act.
One engine. Used your way.
Work with our environment data, your own, or none at all — embedded in your product, or used as a hosted tool.
We provide the environment
Send a location and a condition. Returns live environmental metrics, cited synthesis and triggers — plus the EHSPI composite score.
You provide the environment
Send your own sensor or feed data. Returns ranked peer-reviewed citations, interpretation and effect sizes against your readings.
No environment needed
Send a condition, biomarker or longevity pattern only. Returns citation-grounded literature with effect sizes and provenance.
The exposome — the totality of environmental exposures across a lifetime — drives the majority of chronic disease risk, yet no platform connected it to cited, usable insight. vasus.ai does — and now extends the same rigour to biomarkers and longevity, with or without the environment.
Rappaport & Smith, Science (2010) — "Environment and disease risks" ↗The moat is the evidence.
How we compare to the alternatives — vasus.ai always uses verified sources, hallucination-free insight. Every assertion cited. Updated weekly.
| Weather / AQ APIs | Clinical tools | Build in-house | vasus.ai | |
|---|---|---|---|---|
| Peer-reviewed citations Per insight, by default | ✗ none | partial | ✗ years | ✓ 535K papers |
| Condition-matched scoring Migraine ≠ asthma ≠ cardio | ✗ generic | sometimes | ✗ custom | ✓ 5 live |
| Zero PII required No health data processed | varies | ✗ PHI needed | possible | ✓ by design |
| No regulatory path Non-clinical, no SaMD | ✓ | ✗ MHRA/FDA | depends | ✓ non-clinical |
| Time to integrate API key to live insight | hours | months | 1–3 years | ✓ hours |
Healthcare-grade trust. Zero new compliance burden.
Adding cited evidence to your platform does not create a new regulatory path.
Zero-PII architecture
Condition flag and location only. No identity, no raw health data, no GDPR Article 9 exposure. Fits inside any existing compliance footprint.
Non-clinical
Research infrastructure, not a medical device. No MHRA classification path, no DCB0129 file, no data-sharing agreements.
GCP infrastructure
Credentials in Secret Manager. Cloud Run (HTTPS, stateless). Cloud SQL on private IP. CORS locked to partner origins.
Patent pending
The zero-PII EHSPI environmental health scoring method is patent pending. Protects partners from downstream clinical AI liability.
The evidence base no one else has built.
535,677 papers at 100% embedding coverage. 12 condition areas. Weekly ingestion via NCBI Entrez. BAAI/bge-base-en-v1.5 (768-dim vectors).
Ready to add cited health intelligence?
Free API access. 30-minute founder call. Founding-partner terms for early integrators.
Free API access
Try it live against your own use cases before any commercial discussion.
30-min founder call
Direct conversation on the specific integration scenario for your platform.
Founding-partner terms
Preferential pricing, product input, co-authored case study at month 6.