Rethinking Extreme Weather Intelligence

∂ρ/∂t + ∇·(ρv) = 0

∇²φ = ρ/ε₀

Rethinking
EXTREMEWEATHER
INTELLIGENCE

Years of Research

Since 2009

100x

faster than

physics models

Catastrophes

Explore Products

Trusted By Industry Leaders

OUR APPROACH

Help Insurance understandCatastrophe

Vayuh combines atmospheric physics with modern AI to deliver operational forecasts, risk alerts, and explainable confidence. Our hybrid models are engineered with scientists and engineers from the UC Berkeley community and designed to turn weather into action—reliably and at scale.

Physics-informed AI — data assimilation, ensemble learning, and domain constraints for fidelity and lead time.
Catastrophe modeling — severe convective storms, hurricanes, floods, and other insurance-critical perils.
Operational by design — APIs, observability, and uncertainty bands to support decisions and SLAs.

Built by UC Berkeley scientists · Partners & collaborators: NSF · Oak Ridge · LBL

Physics + AI

Hybrid models blend atmospheric dynamics with machine learning for robust, high-resolution forecasts.

Catastrophe focus

Purpose-built for insurance catastrophes — hail, tornadoes, hurricanes, and severe convective storms that drive losses.

Operational reliability

API-first delivery, monitoring, and traceable runs to support enterprise workflows and SLAs.

Explainable confidence

Uncertainty bands, feature attributions, and scenario testing to communicate risk—not just a number.

Data assimilation

Peer-reviewed methods

Uncertainty quantification

MARKET INSIGHT

The Paradigm Shift in Insurance

Severe Convective Storms are now the primary driver of catastrophic losses

The New Reality

58%

of 2023 insurance losses

Severe Convective Storms (hail, tornadoes, derechos) caused $58 billion in insured losses in 2023, eclipsing hurricanes for the first time in history.

Losses increasing 5–7% annually

Why Models Fail

Physics models can't capture extreme convection
Traditional cat models use 30‑year‑old statistics
Weather AI optimizes for averages, not extremes

Result: 40% of SCS losses occur outside modeled high‑risk zones

Market Opportunity

10xBetter Predictions

✓Write profitable business in “no–go” zones
✓Optimize reinsurance with granular risk views
✓Price 30–40% more accurately than competitors

* Based on industry reports and market analysis

OUR PRODUCTS

Insurance-Ready Risk Intelligence

From severe storms to portfolio analytics — purpose-built solutions for modern insurers.

SEVERE CONVECTIVE STORM SUITE

SCS Risk Intelligence

The most comprehensive severe storm forecasting and risk assessment platform. Now the #1 driver of catastrophic losses.

Hail Forecasting – Size, intensity, accumulation zones
Tornado Risk – Path prediction with STP-awareness
Wind & Derecho – Straight-line wind event modeling
Real-time Alerts – 15-min to 14-day forecasts

HURRICANE RISK PLATFORM

Hurricane Intelligence

Physics-informed AI for hurricane track, intensity, and rainfall predictions with uncertainty quantification.

Track Forecasting – Ensemble predictions to 10 days
Rapid Intensification – 6-24hr RI probability
Precipitation – Rainfall accumulation mapping
Storm Surge – Coastal inundation modeling

PORTFOLIO INTELLIGENCE

Portfolio Risk Management

Transform your exposure data into actionable intelligence with real-time portfolio monitoring.

Exposure Management – Real-time portfolio views
PML Analytics – Dynamic probable maximum loss
Risk Layering – Optimize retention & reinsurance
Early Warning System – Portfolio-specific alerts

DATA PLATFORM

Data Services & APIs

Access our models and datasets through flexible APIs or direct data feeds.

REST APIs – Real-time weather & risk data
Event Catalogs – Historical & stochastic events
Hazard Layers – High-resolution peril maps
Platform Integration – Seamless workflow integration

SEVERE CONVECTIVE STORM SUITE

SCS Risk Intelligence

Hurricane Intelligence

Physics-informed AI for hurricane track, intensity, and rainfall predictions with uncertainty quantification.

Track Forecasting – Ensemble predictions to 10 days
Rapid Intensification – 6-24hr RI probability
Precipitation – Rainfall accumulation mapping
Storm Surge – Coastal inundation modeling

PORTFOLIO INTELLIGENCE

Portfolio Risk Management

Transform your exposure data into actionable intelligence with real-time portfolio monitoring.

Exposure Management – Real-time portfolio views
PML Analytics – Dynamic probable maximum loss
Risk Layering – Optimize retention & reinsurance
Early Warning System – Portfolio-specific alerts

DATA PLATFORM

Data Services & APIs

Access our models and datasets through flexible APIs or direct data feeds.

REST APIs – Real-time weather & risk data
Event Catalogs – Historical & stochastic events
Hazard Layers – High-resolution peril maps
Platform Integration – Seamless workflow integration

Research Excellence & Innovation

20k+ Citations

ACM Gordon Bell Prize 2018

Published Deep Learning Authors

Patent-Pending Methods

20k+ Citations

ACM Gordon Bell Prize 2018

Published Deep Learning Authors

Patent-Pending Methods

20k+ Citations

15+ Years of pioneering research studying the atmosphere using AI/ML. Our research has been cited over 20,000 times

ACM Gordon Bell Prize Winners

Recognized with the prestigious ACM Gordon Bell Prize in 2018 for outstanding achievement in high-performance computing

Published Authors

Co-authors of “Deep Learning for Earth Science” (2021), advancing the field of AI applications in climate science

“
Vayuh isn't just improving forecasts—we're re-architecting catastrophe risk management for a more volatile world.
”

Mayur Mudigonda

Founder & CEO, Vāyuh

Insurance & Asset Managers

Reduce tail risk while lifting precision

Physics‑AI risk models quantify peril exposure at site and portfolio levels—improving underwriting and capital allocation.

Climate change has transformed the risk landscape—historical “1 in 100-year” events now occur with increasing frequency and intensity. Our AI models combine future-looking physics-based forecasts with machine learning to generate accurate, high-resolution risk maps for wildfire, extreme wind, temperature, precipitation, and severe convective weather.

Property RiskPortfolio RiskCatastrophe RiskClimate Risk