Singapore-based boutique insurance solutions consultancy, Kairos Risk Solutions, has introduced the Weather Data Platform, an advanced analytics tool designed to improve climate risk assessment and strengthen the use of parametric insurance solutions with localised, data-driven weather projections.
The firm stated that traditional weather models often lose reliability beyond short-term forecasts, limiting how far ahead insurers can plan. The platform addresses this market gap by integrating Artificial Intelligence (AI) with traditional meteorological forecasting methods to project weather trends up to a year in advance.
Kairos states that the platform evaluates 77 environmental variables to generate probabilistic forecasts and adaptive trigger recommendations to help brokers identify and quantify weather-linked exposures effectively.
The initiative aims to support the industry’s growing focus on data transparency and predictive analytics.
Jeffrey Khoo, Chief Executive Officer, Kairos Risk Solutions, commented, “For brokers, timely and credible insights into weather risk are vital to designing appropriate parametric solutions. Our new platform places these insights directly in their hands, transforming how they analyse and respond to climate volatility.”
Casmond Lim, Chief Operating Officer and Project Lead, Kairos Risk Solutions, added, “The system will evolve continuously. We’re refining the model to enhance spatial accuracy and scenario testing, ensuring brokers can make more informed recommendations for resilience planning and risk transfer.”
Access to the platform is being extended to Kairos’ partner network and licensed brokers seeking to strengthen their capabilities in climate risk advisory.
