KCC releases newest version of open loss modelling platform

Karen Clark & Company (KCC) has launched the newest version of their open loss modelling platform, RiskInsight® Version 4.14, which includes new features and performance enhancements that will benefit re/insurers.

The update enhances RiskInsight’s high-resolution mapping, speeds up LiveEvent™ Runner downloads, expands reinsurance support for alternative databases, advances loss analysis performance, and supports additional policy endorsements.

“The popular LiveEvent Runner application ensures key decision-makers start their day with timely, personalised loss analyses delivered straight to their inbox,” said Marshall Pagano, KCC Senior Director, Client Services. “This update streamlines the underlying processes and enables re/insurers to further leverage live information as events are unfolding.”

With this tool, re/insurers can instantly employ up-to-date data on their wildfire exposure with the new GeoEnhancer import tool, which automatically assigns fire risk reduction community data across entire portfolios.

KCC’s high-resolution mapping application, MapCat™, now offers expanded footprint visualisation capabilities and faster load times, enabling the visualisation of larger, more detailed footprints with greater ease and efficiency.

Enhancements include new MapCat data and soil layers, added API endpoints for loss retrieval and database management, added support for high-velocity models, and enhanced account and location filters.

Additionally, RiskInsight 4.14 includes the 2025 Property Exposure Database (KPD) for the US, representing over $100 trillion in total exposure.

Continuing increases in construction costs, population growth, and demographic shifts are also accounted for by the KPD update.

“RiskInsight is a powerful and open loss modelling platform with a suite of advanced applications,” said Karen Clark, KCC CEO. “The 4.14 update further empowers re/insurers to leverage KCC’s superior modelling technology, enhancing their key underwriting and risk management decisions.”

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