Banks, insurers, investment firms and asset managers use our data and insights in a range of key ways. For example, they use Twinn to help conduct climate risk screenings and assessments for specific locations – based on today’s physical risk profile and into the future for different time periods and under different climate scenarios. It also supports due diligence ahead of mortgage/ investment placements, risk acceptance permissions and consents to optimise green finance and investment deal structures.
Insurance and reinsurance companies use Twinn to get the detailed risk ratings and supplementary information they need to understand and price risk appropriately, helping them to avoid adverse claims and manage over-aggregation of adverse risks.
Our solutions go beyond risk assessment software. They’re based on proprietary IP developed over 20 years – and combine high-resolution data with advanced modelling, predictive analytics, machine learning and razor-sharp domain expertise. Not only does this make for more accurate climate risk scoring and management, but it also simplifies compliance and regulatory reporting.
"Twinn has fundamentally changed the mortgage market's understanding of flood risk exposure. 2 years ago, lenders wouldn't have known if their flood risk was 5% or 25%. Twinn's data has enabled us to support 35% of the market in quantifying their exposure."
Graham Gillespie, Head of Pre-sales Consultancy at Hometrack
An in-depth look at the regulations and opportunities facing European banks and insurers as they demonstrate their resilience to climate change through scenario modelling exercises involving planning and stress testing.
When it comes to climate risk, a one-size-fits-all approach rarely works. We guide you on where to begin in your journey towards managing climate risk, and protecting your organisation's assets and operations.
We examine the issues facing organisations as they look to employ climate data and advanced technology to understand the impact of climate change on their portfolios of physical assets. We reveal the results of our analysis of 10 lender portfolios to assess the scale of the problem for lenders.