About DeepRadon V2
Science-driven indoor radon risk assessment powered by AI, global soil data, and climate modeling.
Our Mission
To make accurate radon risk assessment accessible to homeowners, experts, and professionals — using open science and AI.
Radon is the second leading cause of lung cancer worldwide. Yet, millions of homes remain untested. We bridge the gap between scientific research and public awareness with a simple, accurate, and scalable solution.
Powered by Science & Technology
ISRIC SoilGrids v2.0 (beta)
Global soil property data at 250m resolution — used to estimate radon source potential.
Learn more →CMIP6 Climate Forecasts
Future climate projections from Google Earth Engine — used to model seasonal radon dynamics.
Learn more →AI-Powered Prediction
Our model uses PyTorch with LSTM + Attention to forecast 12-month radon levels.
View Methodology →Fair Use Policy Notice
This platform uses the ISRIC REST API (v2.0 beta) under the Fair Use Policy: ≤5 API calls per minute. All soil data requests are cached to ensure system stability and equitable access.
Data source: https://soilgrids.org
Our Vision
A world where every home is tested for radon — not because it’s required, but because it’s easy, accurate, and trusted.
We’re building the future of environmental health assessment — one prediction at a time.
Ready to Get Started?
Join thousands of users who trust DeepRadon for accurate, science-based predictions.