The Verisk Model Exchange platform is a third-party modelling hub, empowering risk evaluation and selection aligned with your organisational goals. We provide access to more than 400 third-party peril models from 20+ providers on one governed platform based on open data standards. Unlock more options than ever to evaluate exposure worldwide, without vendor lock-in or operational complexity.
Model Exchange is vendor-neutral, separating the risk model platform from any single worldview to enable objective, governed evaluation of catastrophe risk. Open data standards increase transparency and accelerate innovation throughout the insurance value chain while preserving auditability and control.
Confidently evaluate catastrophe risk by comparing multiple independent models. Develop custom, in-house models and compare diverse scientific perspectives side by side to better understand uncertainty, test assumptions, and make defensible decisions.
A model-agnostic approach, combined with seamless integration capabilities, delivers multiple views of risk across 400+ models from 20+ vendors—all within a single, scalable, cloud-native environment. Deploy, test, and release models with agility, so your risk framework evolves with your business.
Access models from leading providers worldwide on one catastrophe risk modelling platform
Evaluate diverse catastrophe analytics on a risk model platform that scales with your growth
End-to-end API workflow, batch functionality, and built-in exposure validation deliver supreme agility to deploy, test, and release models, saving time at every step.
Model Exchange embraces the Oasis Loss Modelling Framework Open Data Standards supporting Open Exposure Data (OED) and Open Results Data (ORD) to deliver consistent, auditable, and interoperable catastrophe modelling.
Access models from 20+ vendors across perils, regions, and asset classes, enabling structured comparison and a deeper understanding of evolving risk.
Cloud-native architecture and browser-based access empower your team to move from onboarding to active modelling with maximum speed and minimal friction.
Model Exchange evolves with the risk landscape. The same governed, vendor-neutral framework that brought structure and transparency to property catastrophe modeling now gives your team access to multiple independent cyber threat models, side-by-side comparison, and full auditability in one familiar environment.
Evaluate diverse cyber risk perspectives from independent vendors without adding platforms or operational complexity.
Access cyber models through the same governed environment, open standards, and API integrations your team already uses.
As the cyber threat modelling ecosystem matures, Model Exchange expands alongside it, giving you flexibility to adopt new models and vendors as the market develops.
Verisk Model Exchange is a vendor-neutral catastrophe risk modelling platform giving insurers and reinsurers governed access to 400+ third-party peril models from 20+ providers on a single, cloud-native platform. Built to support models using the Oasis Loss Modelling Framework and other native model formats, it enables risk teams to evaluate multiple independent views of risk side by side, supporting transparent, defensible decisions across perils, regions, and asset classes.
The Oasis Loss Modelling Framework (Oasis LMF) is an open platform for catastrophe risk modelling adopted across the global insurance and reinsurance industries, providing a consistent modelling format and shared financial engine that enables outputs from different vendors to be compared on an equal footing. Verisk Model Exchange is the first governed, vendor-neutral marketplace purpose-built around Oasis LMF, giving insurers and reinsurers structured access to 400+ models from 20+ independent providers across nat cat and cyber perils on a single platform.
Verisk Model Exchange supports the Open Data Standards (ODS), reflecting its commitment to vendor neutrality and simplification of modelling workflows. The platform natively supports OED (Open Exposure Data) and ORD (Open Results Data), the data formats used by Oasis models.
Traditionally, comparing vendor models required managing multiple platforms, contracts, and data formats, making true apples-to-apples comparison difficult. Model Exchange removes that friction by bringing models from 20+ independent vendors onto a single, governed platform.
Because all models on Model Exchange use consistent open data standards through Open Exposure Data (OED) and Open Results Data (ORD), risk teams can run multiple models against the same exposure data and evaluate outputs side by side within one environment, making it easier to understand where models agree, where they diverge, and why.
Vendor neutrality gives risk teams the freedom to evaluate multiple independent models side by side, understand where and why they diverge, and build a more defensible organizational view of risk. Model Exchange is neutral by design, meaning the platform has no preferred model worldview and no commercial incentive to favor one vendor over another. That independence is the foundation of objective, governed catastrophe risk evaluation.
Model Exchange gives risk leaders structured, governed access to multiple independent views of catastrophe perils on one risk model platform. Side-by-side model comparison, transparent assumptions, and full provenance auditability give underwriting, pricing, and capital teams the evidence base needed to justify their risk view to internal stakeholders, reinsurers, and regulators. When models diverge, Model Exchange provides the framework to understand why and document that analysis.
Model Exchange standardizes model inputs and outputs through Oasis LMF's Open Exposure Data (OED) and Open Results Data (ORD) formats, creating a consistent, traceable record of how risk was evaluated. Multi-model comparison and documented assumptions support the internal model validation and stress testing that underpin Solvency II and ORSA compliance, giving risk and actuarial teams a governed environment to build and defend their view of risk.