Real-time environmental health intelligence for people managing chronic conditions.
A precision health API for digital health platforms, insurers, and population health programmes — powered by exposomics science and 350,000+ peer-reviewed papers.
Or try it now — no account needed, no data stored ↗Educational use only · Not medical advice · Anonymous session · No PII stored
70–80% of chronic disease burden is attributable to environmental exposures. No platform connects this to clinical care.
The exposome — the totality of environmental exposures across a lifetime — is now a recognised field of study, pioneered by Christopher Wild and pursued by institutions including Exposome-NL at Utrecht University and ISGlobal in Barcelona. The burden is not disputed science.
Despite this, no platform exists that connects real-time environmental conditions to individual condition management with peer-reviewed scientific evidence. Existing tools provide air quality numbers. They do not connect those numbers to specific conditions, specific populations, or specific evidence.
vasus.ai closes this gap. For each query, the platform ingests real-time environmental data across seven signal types, retrieves evidence from 350,000+ papers, applies condition-specific weighting, and synthesises a structured output with inline citations — delivered via API.
Four steps from raw environment
to cited intelligence
AQ, pollen, barometric pressure, temperature, humidity, UV, and heat index — seven signal types from Google Environmental APIs. Updated hourly across 22 global cities.
Seven environmental signals weighted by clinical evidence for each of five sensitivities. Barometric pressure delta: 38% weight for migraine. Pollen exposure load: 40% weight for allergies.
Semantic search across 350,000+ peer-reviewed papers via pgvector HNSW index. LLM gate filters for relevance. Top papers ranked and selected. BAAI/bge-base-en-v1.5 embeddings.
Risk level, environmental context, cited recommendations, and uncertainty notes — structured JSON delivered via API. Every response is traceable to peer-reviewed evidence.
This is what vasus.ai returns.
Every response includes the environmental reading, the clinical mechanism, and the peer-reviewed evidence. Not a prediction — an evidence-based intelligence output.
“Barometric pressure dropped 6.2 mb in the last 24 hours — consistent with trigger conditions in barometric migraine literature. Pressure volatility elevated across the 72h window. Recommend preventative review if medication is available.”
Five chronic condition sensitivities.
Evidence-based scoring for each.
Tells B2B buyers immediately whether their user base is in scope.
Barometric pressure, weather fronts, humidity — the environmental triggers most correlated with migraine onset. Primary signal: pressure delta at 38% weight.
Explore the sciencePM2.5, ozone, nitrogen dioxide, and pollen — the seven pollutant signals most relevant to respiratory exacerbation. Pollen added as co-primary in v1.6.
Explore the scienceHeat index, overnight temperature, UV — the thermal burden signals that drive cardiovascular risk in vulnerable populations. Heatwave mortality literature.
Explore the scienceOvernight hot hours, dew point, pressure volatility — the environmental signals most linked to sleep disruption and recovery. Obradovich et al. 2017.
Explore the scienceTree, grass, and weed pollen UPI — the highest-weight sensitivity in EHSPI v1.6, with pollen exposure load at 40% weight. D’Amato et al. 2020: outdoor pollen is the leading cause of allergic rhinitis globally. Pollen-PM2.5 compound effects documented.
Explore the scienceA composite environmental health index. Condition-specific. Transparent. Live.
The Environmental Health Sensitivity Performance Index scores locations 0–100 across five chronic condition dimensions. Unlike generic AQI, each sensitivity uses clinically-grounded signal weights derived from peer-reviewed literature. All five weight vectors are published transparently — no other commercial environmental health platform does this.
Ready to integrate environmental
health intelligence?
Three audiences, one platform. Tell us who you are and we’ll take it from there.
Digital health platforms, insurers, and population health programmes. Request API credentials and discuss integration scenarios.
Request API access →Environmental health researchers, clinicians, and institutions. Discuss EHSPI methodology, weight validation, or data collaboration.
Contact the research team →Competition judges, angels, and media. Access the live platform, view traction signals, and request an overview call.
See the live platform →