Vayuh.ai combines physics and artificial intelligence to deliver highly accurate medium- to long-range weather forecasts and climate risk models, specifically targeting extreme weather events that impact industries such as energy, insurance, and supply chains. By providing predictive analytics that enhance decision-making, Vayuh.ai helps stakeholders mitigate climate-related risks and optimize their operations.
Funding
Funding not disclosed
Founders
Product
Problem
Industries such as energy, insurance, and supply chains face significant challenges due to extreme weather events and the increasing impact of climate change. Traditional weather forecasting methods often lack the accuracy needed for effective medium- to long-range planning and risk mitigation, especially in the face of anomalous climate behavior. This can lead to inaccurate risk assessments and suboptimal operational decisions.
Solution
Vayuh.ai provides weather forecasts and climate risk models, leveraging a combination of physics-based modeling and artificial intelligence. The company's forecasts offer improved accuracy for medium- to long-range predictions, enabling better decision-making in industries vulnerable to climate-related disruptions. By focusing on extreme weather events, Vayuh.ai helps stakeholders understand and mitigate the specific risks posed by climate change, allowing for proactive adaptation and resilience planning. The platform generates high-resolution risk maps for various climate-related hazards.
Target Audience
Vayuh.ai primarily serves energy traders, insurance companies, asset managers, and supply chain operators seeking to understand and mitigate the impact of climate change on their operations.
Features
- Medium- to long-range weather forecasts, extending from a few days to 52 weeks
- Predictive climate risk modeling, ranging from 1 to 100 years
- AI-driven forecasts incorporating physical constraints and data analysis
- High-resolution risk maps for wildfire, extreme wind, temperature, precipitation, and severe convective weather
- Benchmarked forecasts across multiple variables and time scales