What Vayeh Lane does

Vāyuh Inc. is an Oakland, California-based AI-native catastrophe risk analytics company founded in 2009 by Mayur Mudigonda, Ph.D. and Pratik Sachdeva, Ph.D. The company builds proprietary physics-AI models that fuse high-resolution weather, climate, and geospatial data to quantify risk for insurance carriers, reinsurers, asset managers, and catastrophe bond investors. Its work is supported by a deep research pedigree, including the ACM Gordon Bell Prize (2018), 20,000+ academic citations, and ongoing collaborations with Lawrence Berkeley National Laboratory, Berkeley AI Research (BAIR), Oak Ridge, and the NSF.

The company's core offering is an integrated Insurance-Ready Risk Intelligence platform comprising four products: SCS Risk Intelligence (severity and frequency modeling), Hurricane Intelligence (track and intensity forecasting), Portfolio Risk Management (exposure aggregation across carrier portfolios), and Data Services & APIs (programmatic delivery of underlying datasets). The platform ingests carrier-specific portfolio data and outputs insured-loss distributions, with patent-pending physics-AI methods as the underlying differentiator. Current commercial customers include Britt Insurance, Lloyd's Lab, Aon, Emergent, and an undisclosed Global Top 5 Bank, supported by angel investors including Andy Konwinski (Databricks/Perplexity), Zayd Enam (Cresta.ai), Bharath Madhusudhan (Securly), and the Jiandani Family Fund.

Vāyuh monetizes through enterprise licensing arrangements with risk-bearing institutions and is structured as a 14-person team that combines research depth (Ph.D. founders, national lab collaborations) with emerging commercial execution, evidenced by the recent hire of Sean Spain (former Brit, Ki, Deloitte) as Head of Product/GTM. The company sits at the intersection of climate science, AI research, and insurance — a category where domain expertise and scientific credibility are the primary gating factors to commercial adoption.

Name

Vayeh Lane

Legal name

Vāyuh Inc.

Website

https://vayuh.ai

Company type

Private

Founded year

2009

Operating status

Operating

Headcount range

1–10 employees

Short description

Vāyuh is an Oakland-based AI-native catastrophe risk analytics company building physics-AI models for insurers, reinsurers, and asset managers. Its platform fuses weather, climate, and geospatial data into products that quantify severity, frequency, hurricane exposure, and portfolio loss.

Ownership category

akta.pro rank

Product category

Catastrophe Risk Analytics

NAICS

Computer Systems Design Services (541512)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Climate Hazard & Catastrophe Modeling (Flood, Wind, Wildfire, Heat, Sea-Level Rise) (EUABALAA)

akta.pro secondary industries

Catastrophe Risk Modeling & Analytics Services (FSAOACAL), Insurance Underwriting, Pricing & Accumulation Tools (P&C, Specialty, Parametric) (EUABALAF), Asset- & Location-Level Exposure/Vulnerability Analytics (Geospatial, Digital Twins, Critical Infrastructure) (EUABALAC)

Keywords

• Weather risk intelligence
• Catastrophe risk modeling
• Physics-informed AI
• Insurance risk analytics
• Severe weather forecasting

Headquarters

HQ city

Oakland

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. SCS Risk Intelligence: Subscription-based severe convective storm forecasting and risk assessment platform with hail, tornado, wind, and derecho forecasting capabilities.
2. Hurricane Intelligence: Physics-informed AI subscription for hurricane track, intensity, and rainfall predictions with uncertainty quantification.
3. Portfolio Risk Management: Real-time portfolio monitoring and analytics including exposure management, PML analytics, and risk layering.
4. Data Services & APIs: REST API access to weather and risk data, event catalogs, hazard layers, and platform integration services. Usage-based or subscription pricing for data access.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels3 records

Core offering

Vāyuh builds physics-informed AI software for extreme weather forecasting and catastrophe risk assessment. Its integrated Insurance-Ready Risk Intelligence platform comprises four products: SCS Risk Intelligence for severe convective storms (hail, tornado, wind, derecho), Hurricane Intelligence for tropical cyclone track/intensity/storm surge, Portfolio Risk Management for real-time exposure monitoring and reinsurance optimization, and Data Services & APIs for programmatic access to weather and risk datasets.

Product overview

Vāyuh offers an integrated Insurance-Ready Risk Intelligence platform comprising four interconnected products: SCS Risk Intelligence (Severe Convective Storm Suite) as the flagship product for hail, tornado, wind, and derecho forecasting; Hurricane Intelligence for tropical cyclone track, intensity, and storm surge prediction; Portfolio Risk Management for real-time exposure monitoring and reinsurance optimization; and Data Services & APIs for direct programmatic access to all models and hazard datasets. The platform combines atmospheric physics with modern AI to deliver operational forecasts, risk alerts, and explainable confidence for insurance catastrophe risk management.

Differentiator

Problem solved

Functional benefit

Products and services

• SCS Risk Intelligence (Severe Convective Storm Suite) Severe storm forecasting and risk assessment platform providing hail size and intensity forecasting, tornado path prediction with STP-awareness, wind and derecho event modeling, and real-time alerts from 15-minute to 14-day lead times for insurance companies and risk managers.
• Hurricane Intelligence Physics-informed AI platform for hurricane track forecasting up to 10 days, rapid intensification probability (6-24hr RI), precipitation accumulation mapping, and coastal storm surge inundation modeling with full uncertainty quantification for insurers and reinsurers.
• Portfolio Risk Management Real-time portfolio monitoring platform providing exposure management with dynamic probable maximum loss (PML) analytics, risk layering for retention and reinsurance optimization, and portfolio-specific early warning alerts for insurers.
• Data Services & APIs Programmatic access to Vāyuh models and datasets via REST APIs, providing real-time weather and risk data, historical and stochastic event catalogs, high-resolution hazard layers, and seamless workflow/platform integration for enterprise customers.

Quantifiable outcome

• 10x better predictions for writing profitable business in no-go zones
• +3 more outcomes

Named customers5 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature7 records

Partnerships

Five partnerships are on record, tiered core.

• Berkeley Artificial Intelligence Research (BAIR)coreStrategic or Co-development PartnerResearch partnership with UC Berkeley's AI research lab; team members sourced from BAIR community
• Lawrence Berkeley National Laboratory (LBL)coreStrategic or Co-development PartnerCollaborator and partner; team includes Berkeley Lab (LBL, DOE) researchers
• National Science Foundation (NSF)coreStrategic or Co-development PartnerResearch partner and collaborator; supports academic research initiatives
• Oak Ridge National LaboratorycoreStrategic or Co-development PartnerResearch collaborator; partner & collaborator listed on company website
• UC BerkeleycoreStrategic or Co-development PartnerFounding team sourced from UC Berkeley; co-authors of Deep Learning for Earth Science (2021)

Scale indicators9 records

Recent moves5 records

Expansion highlights4 records

Emerging players

• Climate X: Climate risk analytics platform providing physical and transition risk scores for financial institutions and corporates. Comparable as an emerging SaaS player applying high-resolution climate modeling to insurance and asset management risk use cases.
• One Concern: AI-based catastrophe and climate risk analytics platform serving insurers, governments, and infrastructure operators. Comparable as an AI-first emerging player addressing similar insurer and asset-level exposure use cases with a physics+ML foundation.

Direct peers

• KatRisk: Catastrophe risk modeling firm offering stochastic event sets and analytics for tropical cyclone, severe convective storm, flood, and wildfire. Comparable as a tech-forward challenger in the insurance cat modeling market pursuing similar peril-by-peril approaches.
• AIR Worldwide (Verisk): Catastrophe modeling platform owned by Verisk serving insurers, reinsurers, and financial institutions with probabilistic loss models across multiple perils. Directly competes with Vāyuh in hurricane and severe storm modeling for insurance underwriting and accumulation management.
• Jupiter Intelligence: Climate risk analytics provider delivering physical climate risk scores and asset-level exposure models for insurers, asset managers, and infrastructure operators. Comparable as a physics+data analytics vendor targeting insurance underwriting, portfolio risk, and asset-level exposure — overlapping with Vāyuh's portfolio risk management offering.
• Karen Clark & Company: Independent catastrophe risk model provider serving insurers, reinsurers, and asset managers with high-resolution storm, flood, and earthquake models. Comparable as a specialist alternative to legacy RMS/AIR, targeting the same insurance GTM with peril-focused analytics.
• Moody's RMS: Long-standing leader in catastrophe risk modeling for insurers and reinsurers, offering probabilistic peril models (hurricane, severe convective storm, earthquake, flood). Directly comparable to Vāyuh as a primary vendor of cat analytics consumed by insurance underwriting and portfolio management teams.

Broad incumbents

• Munich Re: Global reinsurer with internal NatCatService and risk analytics capabilities used across underwriting and portfolio steering. Comparable as a broad incumbent that both consumes and produces cat risk analytics, and could partner with or compete against Vāyuh.
• Swiss Re: Global reinsurer operating proprietary catastrophe analytics via Swiss Re Institute and underwriting tools. Comparable as a broad incumbent customer/competitor in catastrophe risk modeling for insurance and reinsurance markets.

Others

• Google DeepMind (GraphCast / WeatherLab): Research-driven provider of leading AI weather forecasting models (GraphCast, WeatherLab) that Vāyuh builds upon. Comparable as an upstream ecosystem participant whose open models shape the entire AI-cat-modeling space and could partner with or pressure Vāyuh.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights7 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Vayeh Lane