Callendar's data solutions and physical climate risk analytics have been adopted by some of the largest and most successful firms in infrastructure, power, and construction.
Callendar is a tech startup on a mission to make climate risk assessment radically more accessible. We leverage big data and smart analytics to provide reliable evaluations of the local impacts of climate change on companies, communities and individuals, at low marginal cost.
Local, state-of-the-art physical risk assessment for assets, property, and portfolios. Today, over the next decade, or in 50+ years. Anywhere on the planet.
Callendar's ClimateRating™ is a range of synthetic climate risk analysis designed to deliver high resolution, ready-to-use hazards assessments in a timely and cost-efficient way using the most recent peer-reviewed climate impact projections and advanced automated data processing.
ClimateRating™ build upon our extensive data catalog, including dozens of the scientific community’s most respected physical models of the atmosphere and hydrosphere, detailled land use and elevation data, and long-term weather observations.
To ensure transparency and explicability, all our ratings include sources data and intermediary indicators as well as an user guide that communicate methodologies and confidence levels, and details best practices for adaptation and risk mitigation. Additional support is available upon request.
How our tools and data are used in real-world situations to quantify and reduce climate risks
Climatisation et réchauffement : quels enjeux ?
Quelles vont être les impacts techniques et économiques de la combinaison d'été plus chauds et d'un équipement croissant en climatisation ?
Etude réalisée en partenariat avec Colombus.
L’immobilier face à l’élévation du niveau de la mer
Combien de biens immobiliers vendus en France sont menacés par un risque de submersion ou d'inondation côtière ? Cette étude analyse plus de 16 millions de transactions conclues entre 2016 et 2021.
Etudier les risques climatiques sur un million de sites ?
Cette étude de cas nous démontrons notre utilisation du big data pour l'évaluation des risques climatiques à grande échelle avec l'étude de la fréquence des inondations pour 930.000 postes électriques en France.