Become a reseller

Provide your clients with the worlds most detailed physical climate risk analysis available. XDI approved resellers get access to our standard products and bespoke analysis, with simple-to-use pricing systems and in-house expert knowledge to help you help your client.

Our clients are global

We analyse assets in over 175 countries

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We work with trusted resellers around the world, and we’d love to have you join us

Become a reseller

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We are ISO 27001 Certified.

With XDI, you can trust that we take your data seriously.
We have adopted the principle of privacy by design and ensure that all systems
which collect or process personal data are subject to due consideration of privacy issues.

Our resellers

XDI is your in-house expert on physical risk analysis.

Global reach

XDI is an international, independent provider of physical risk analysis with an established network of clients and resellers.

Leading Technology

XDI analysis is powered by the award-winning Climate Risk Engines, tried and tested in the market since 2007.

Standard Reporting

XDI’s standard reports present physical risk data in different packages for different sectors or sections of an organisation. Pick from a list depending on your clients’ needs.

Complex problem solving

Complex problems need clever solutions. XDI works closely with resellers to support bespoke solutions for your client.

Featured use cases

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Banking: Stress testing and scenario analysis

A large banking client sought inputs from XDI to run large-scale Monte Carlo simulations as part of a regulatory climate stress testing exercise. The solution was required across its global residential and commercial lending portfolios. The client also needed to respond to a deterministic scenario prescribed by the regulator.

Corporates: Due diligence for a brownfield infrastructure project

A developer needs to undertake a due diligence assessment of a brownfield infrastructure project (port) it is considering purchasing for a development. It wants to know if there are physical climate change risks that may result in unexpected short-term operational expenses or sooner-than-expected capital expenses that could impact the profitability of the development and their ability to service their loan.

Public data release: supply chain and sub sovereign risk

Financial and economic risks from climate change are consistently undervalued and fail to capture the complex and cascading impact of global warming over 1.5 degrees. To highlight the reality that no single country is ‘safe’, XDI publicly released a dataset comparing the physical climate risk of every state and province in the world.

CASE STUDY: City planning - urban heat

Increasing urban heat is already resulting in adverse impacts on human health and asset performance in Eastern Sydney. These impacts are only going to intensify in the future unless ambient temperatures are reduced significantly through implementation of heat adaptation. Sydney Water - a state-owned institution came to XDI in order to understand the risk excess heat presented now and into the future, and to explore adaption options to address it.

Commercial banking: Analyse your commercial property portfolio

A major Singapore-based bank with a large commercial lending portfolio in the ASEAN region required insights into climate risks in order to meet new regulatory requirements. The portfolio was subject to a range of climate-related hazards.

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XDI Launches XDI Climate Risk Hub: A New Platform for On-Demand Physical Climate Risk Analysis

XDI is today launching the XDI Climate Risk Hub from New York Climate Week, an innovative platform that provides on-demand, physical climate risk analysis for financial institutions, companies, and governments worldwide.

FAQs

Have your hazard models been peer-reviewed?

Our award-winning Climate Risk Engines have been stress tested and reviewed by clients and subject matter experts over a 15 year development period.
The development of an external peer review process is underway which will include a scientific review panel comprised of academic experts.

How are climate models selected?

XDI analysis works to identify the edge of the risk envelope, so that decision makers can see the maximum modelled risk. To stress-test an asset, multiple climate models are tested and the model that appears to create the greatest increase in a particular hazard is selected for that hazard.

Can you produce something I can use as the physical risk component of a TCFD report?

Yes, we can present results for the physical risk component of a TCFD report.
We also produce a TCFD physical risk report.

Among the outputs you provide, which are those that you recommend to use in credit risk modelling?

For private property we recommend Maximum Value at Risk (MVAR), percentage of High-Risk Properties (HRP%) and Climate Adjusted Value (CAV).
For commercial property we recommend Maximum Value at Risk (MVAR), percentage of High-Risk Properties (HRP%) and Productivity Loss (PL%).

What type of checks do you perform to ensure that the risk metrics are accurate? Do you do any backtesting?

We regularly review and update our data, conduct backtesting on major events to look at model success levels and conduct quality assurance tests on all data sets. Data is regularly reviewed and generally updated in our system once these updates have become available and been evaluated.