Hypermeteo utilizes high-resolution digital territorial grids to deliver precise meteorological data and services. This technology provides accurate weather forecasting and environmental monitoring, which are critical for industries that depend on reliable climate information.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries require accurate and granular weather and climate data for operational decision-making, risk assessment, and adaptation planning, but often lack access to sufficiently high-resolution and easily integrable meteorological information. Existing weather data services may not provide the level of detail, historical depth, or predictive capabilities needed to address specific challenges related to climate variability and extreme weather events.
Solution
Hypermeteo provides high-resolution meteorological data and services based on digital territorial grids, offering a new approach to weather and climate analysis. The company processes and spatializes weather data to a granular level, delivering insights through a suite of services including a web service API for integrating data into decision support systems and GIS platforms, customizable push notifications for timely alerts on expected weather events, and an early warning system for severe weather phenomena. Hypermeteo also offers climate risk indicators based on a historical dataset spanning over 30 years, as well as Climate Sentinel, a service providing long-term climate projections for adaptation planning. These services enable organizations to manage risks, optimize operations, and make informed decisions in the face of changing climate conditions.
Target Audience
Hypermeteo's primary customers include organizations in sectors such as risk assessment and insurance, smart agriculture, connected mobility, smart cities, financial analytics, geopolitics, and energy supply, trading, and operations, as well as entities requiring detailed climate adaptation strategies.
Features
- High-resolution digital territorial grids providing detailed weather analysis at the kilometer level
- Web service API for seamless integration of weather data into existing systems and platforms, utilizing OGC protocols (WMS, WFS, WCS) and custom APIs
- Customizable push notifications for real-time alerts on adverse weather conditions, tailored to specific user needs and locations
- Early warning system delivering high-resolution forecasts of severe weather events with alerts and interactive maps
- Climate risk indicators based on a 30+ year historical dataset, enabling estimation of the frequency and severity of weather events
- Climate Sentinel® providing long-term climate projections for specific areas of interest, utilizing CMIP5 models and statistical downscaling
- Data analytics services for integrating meteorological data with other datasets to generate value-added insights
- AgroCast® software for smart agriculture, optimizing agricultural practices through detailed weather and climate data
- Access to historical reanalysis data, near real-time data, nowcasting, and weather forecasts