Reask joins forces with cat-modelling leaders in InsuranceERM special report

Natural catastrophes such as floods, hurricanes, and wildfires are becoming increasingly severe and unpredictable due to urbanization and climate change. In response, advancements in catastrophe modelling are transforming how insurers assess and manage these growing risks.

Reask is proud to be featured in InsuranceERM’s 2025 Special Report on Catastrophe Modelling, which highlights the latest innovations shaping the industry.

A shift in catastrophe modelling

Catastrophe modelling has evolved significantly since its inception nearly 40 years ago. Recent technological advancements—such as high-performance computing, satellite imagery, and AI—are accelerating the development of more granular, data-driven risk models.

Open-source frameworks and cloud computing platforms are also democratizing access to advanced modelling capabilities, enabling insurers to make more informed decisions.

Reask is at the forefront of this evolution, leveraging physics-based and machine learning approaches to deliver climate-connected, high-resolution risk analytics. By focusing on the physical processes that drive natural disasters, our models capture the dynamic nature of climate risk rather than relying solely on historical data.

Key innovations in catastrophe modelling

Secondary perils on the rise

Secondary perils such as severe convective storms and wildfires are generating increasing losses—often surpassing traditional primary perils like hurricanes and earthquakes. Insurers are investing heavily in new models to address these risks, which demand highly granular data and sophisticated algorithms.

Flood risk takes center stage

As climate change intensifies flooding, insurers are prioritizing more advanced flood modelling. Reask’s collaboration with flood modelling specialist Fathom combines hurricane and flood models to deliver a more comprehensive view of risk. This integration is especially valuable for managing compound hazards such as storm surge and extreme rainfall.

AI and machine learning transform risk assessment

Artificial intelligence is reshaping catastrophe modelling by unlocking deeper insights and predictive capabilities. Reask applies machine learning algorithms to analyze climate drivers and generate synthetic event sets, ensuring our models adapt to changing climates and evolving risk profiles.

Open-source frameworks and interoperability

Open platforms like the Oasis Loss Modelling Framework are fostering innovation by making models more accessible and cost-effective. Reask’s models integrate seamlessly with these frameworks, giving insurers flexibility, scalability, and greater control over their risk assessment workflows.

Reask’s approach to modelling natural catastrophes

Reask stands apart by developing dynamic, climate-connected models that reflect the physical drivers of risk rather than static historical patterns. Our approach integrates:

Physics-based simulations – Capturing complex climate systems to predict how hazards evolve
Machine learning algorithms – Analysing vast datasets to identify emerging trends and correlations
High-resolution mapping – Using satellite imagery and geospatial data for detailed, location-specific insights
Global coverage – Delivering consistent, scalable risk assessments across regions and perils

Through partnerships such as our collaboration with Fathom, Reask provides holistic solutions that address the interconnected challenges posed by climate change.

Why catastrophe modelling matters more than ever

The InsuranceERM Special Report underscores how critical catastrophe modelling has become in today’s risk landscape. For insurers, the ability to anticipate and respond to natural disasters is no longer a competitive advantage—it’s essential.

As climate change amplifies volatility, models must evolve to capture shifting hazard profiles and provide actionable insights. Reask’s commitment to scientific innovation helps clients:

Optimise underwriting and pricing strategies
Strengthen portfolio risk management
Support sustainable reinsurance practices
Develop parametric insurance solutions tailored to emerging risks

The future of catastrophe modelling

As new technologies and data sources continue to emerge, catastrophe modelling will keep advancing in precision, scope, and accessibility. Reask is committed to pushing the boundaries of what’s possible—helping insurers navigate uncertainty, manage evolving hazards, and build long-term climate resilience.

Explore InsuranceERM’s 2025 Special Report on Catastrophe Modelling to see how Reask is redefining the future of risk assessment.

Access the report