

BirdsEyeView, a European Space Agency-backed InsurTech, has secured an undisclosed seven-figure investment to support international expansion and accelerate development of its wildfire risk modelling capabilities. The investment round was primarily led by 24 Haymarket, with further participation from all existing investors. The funding will be used to scale operations across new markets while strengthening the company’s machine learning-driven natural catastrophe models.
Wildfire exposure is changing rapidly as climate change drives more frequent and severe events across new geographies. BirdsEyeView argues that many legacy wildfire models rely heavily on historical datasets that struggle to reflect the speed and scale of these changes, increasing the need for more adaptive, live data-driven approaches to risk assessment.
BirdsEyeView’s platform combines high-resolution satellite data with advanced AI analytics to deliver real-time risk assessment and live portfolio exposure management at an underwriter’s desktop. The company’s technology is designed to enhance pricing accuracy and support forecasted loss reporting by enabling carriers to monitor portfolio aggregations in real time. BirdsEyeView is currently trusted by more than 20 insurers, brokers and MGAs globally, including Allianz, Liberty Specialty Markets, AXA XL, HDI and Aon, and counts Convex and Cincinnati Financial among its headline clients.
The raise follows a period of strong momentum for the InsurTech, including 200% growth in turnover and recent expansion into the US and Australian markets. BirdsEyeView plans to use the capital to accelerate development of its wildfire model, expand its team of PhD-level scientists and climate specialists, and scale its commercial presence across North America and Australia. The company said these investments are intended to support insurers as wildfire risk evolves beyond traditionally high-risk regions. The company said it will continue to focus on delivering models that evolve in line with new data and emerging climate-driven risks.