Singapore-based boutique insurance solutions consultancy Kairos Risk Solutions has launched the Weather Data Platform, an advanced analytics tool designed to improve climate risk assessment and enhance the use of parametric insurance solutions through localized, data-driven weather forecasts.
The company said traditional weather models tend to lose reliability beyond short-term forecasts, limiting insurers’ ability to plan ahead. The platform fills this gap in the market by combining artificial intelligence (AI) with traditional weather forecasting methods to predict weather trends one year in advance.
Kairos said the platform evaluates 77 environmental variables to generate probabilistic forecasts and adaptive trigger recommendations to help brokers effectively identify and quantify weather-related risks.
The program is designed to support the industry’s growing focus on data transparency and predictive analytics.
Jeffrey Khoo, CEO of Kairos Risk Solutions, commented: “For brokers, timely and reliable understanding of weather risks is critical to designing appropriate parametric solutions. Our new platform puts these insights directly into their hands, changing the way they analyze and respond to climate fluctuations.”
Casmond Lim, chief operating officer and project lead at Kairos Risk Solutions, added: “The system will continue to evolve. We are refining the model to enhance spatial accuracy and scenario testing, ensuring brokers can make more informed recommendations for resilience planning and risk transfer.”
Kairos’ network of partners and licensed brokers are extending access to the platform to enhance its capabilities in climate risk advisory.
