Kairos Risk Solutions Launches Weather Data Platform to Strengthen Parametric Design
Kairos Risk Solutions has introduced a Weather Data Platform built to give brokers and carriers sharper, localized projections for climate risk. The company says traditional models fade in reliability beyond short-term horizons, which limits forward planning and weakens trigger confidence.
Based in Singapore, Kairos is a boutique insurance and risk consultancy focused on innovative risk transfer - especially parametric insurance, credit and surety, and specialty lines. The team works across Asia with insurers, brokers, and financial institutions to structure data-driven products for weather, agriculture, trade, and other complex exposures.
What's inside the platform
The system blends artificial intelligence with established meteorological techniques to project weather trends up to 12 months ahead. It analyzes 77 environmental variables to generate probabilistic forecasts and adaptive trigger recommendations, tuned for local conditions.
- Localized, probabilistic outlooks (0-12 months)
- Trigger guidance with confidence intervals and suggested calibration bands
- Support for structuring parametric terms, from attachment to payout curves
- Data outputs geared for broker workflows and client education
Why this matters for parametric programs
Parametric structures depend on clear trigger logic and credible, transparent data to maintain payout integrity and investor confidence. Industry analysts have pushed for stronger predictive analytics and better disclosure around trigger design. This platform speaks directly to those needs by shrinking uncertainty around local weather signals and giving brokers faster, testable inputs for pricing and structuring.
For additional context on seasonal climate forecasting, see the NOAA Climate Prediction Center's long-range outlooks here, and an overview of parametric solutions from Swiss Re here.
What leadership is saying
"Brokers require timely and credible insight into evolving weather patterns to construct effective parametric programs. Our new platform places these insights directly in their hands, transforming how they analyse and respond to climate volatility."
- Jeffrey Khoo, CEO, Kairos Risk Solutions
"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."
- Casmond Lim, COO and Project Lead, Kairos Risk Solutions
Practical uses for brokers and carriers
- Pre-bind analytics: Size location-specific weather-linked exposures and set preliminary triggers with confidence bands.
- Trigger calibration: Stress-test thresholds against probabilistic ranges to reduce basis risk and improve payout clarity.
- Pricing and limits: Use forward-looking weather distributions to inform rate adequacy, attachment, and limit setting.
- Portfolio steering: Compare seasonal scenarios across geographies to rebalance aggregates ahead of peak seasons.
- Reinsurance placement: Share standardized outputs with markets to support cleaner submissions and faster quotes.
- Client education: Translate forecasts into simple trigger narratives that underwrite trust in the structure.
- Claims governance: Pre-define checklists tied to objective data sources for faster post-event validation.
Access and rollout
Access to the Weather Data Platform will be extended to Kairos' partner network and licensed brokers who want to expand advisory capability in climate and parametric insurance markets. Outputs are built to slot into existing workflows, reducing time spent hunting data and increasing time spent refining structure.
Quick checklist to tighten trigger design
- Which perils and windows create the bulk of loss volatility for the insured?
- What trigger metric best matches the exposure (e.g., rainfall, wind speed, heat index), and at what spatial resolution?
- Do the suggested thresholds balance frequency, severity, and basis risk for both sides?
- How do alternative scenarios (dry/wet, warm/cool) shift expected payout and loss cost?
- Are third-party data sources and audit steps agreed pre-bind to streamline settlement?
About Kairos Risk Solutions
Kairos Risk Solutions is a Singapore-based consultancy focused on designing innovative risk transfer solutions across parametric insurance, credit and surety, and specialty lines. The firm partners with insurers, brokers, and financial institutions to structure data-driven products that address weather, agriculture, trade, and complex risks.
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