NatureAlpha has launched Geoverse 2.0, an upgraded analytics platform designed to improve how companies and investors assess nature-related risks.
The platform aims to address challenges in interpreting complex nature data and regulatory disclosure requirements, offering a structured approach aligned with the Taskforce on Nature-Related Financial Disclosures (TNFD) framework.
The latest iteration of Geoverse introduces automated nature risk and impact analytics, leveraging artificial intelligence (AI) to enhance data accuracy and reliability across asset classes.
According to NatureAlpha, the platform integrates expanded data sources, faster computational processes, and detailed asset location analysis, providing a comprehensive risk evaluation tool for financial decision-makers.
A core feature of Geoverse 2.0 is its automation of precision asset location data.
NatureAlpha claims to utilise 28 geospatial layers, incorporating biodiversity and environmental assessments, to analyse 8.5 million asset locations globally. This approach is expected to deliver a 99.5% accuracy rate, thereby reducing reliance on manual intervention and enhancing the efficiency of risk assessments.
The platform’s advancements focus on three key areas, which are coverage, velocity, and refinement. It now spans 11,500 global equities, 1.7 million corporate bonds powered by a partnership with Intercontinental Exchange (ICE), and private assets, processing 14.8 billion calculations per second.
NatureAlpha CEO Nick Hough-Robbins said: “The optimisation of Geoverse 2.0 underscores NatureAlpha’s commitment to remaining at the forefront of quality nature data provision. We want to partner with clients to remove the data burden whilst empowering companies and investors to knowledgably manage their natural world risk.
“Our application of AI, dynamism and agility sets us apart from competitors, enabling us to rapidly exploit technological developments in the delivery of ground breaking nature data and analytics.”
NatureAlpha expects data coverage to grow from 130 million monthly data points to 300 million by the final quarter of 2025. Geoverse 2.0 also automates updates to nature risk assessments following corporate developments such as mergers, expansions, and divestitures, ensuring real-time alignment with company disclosures and biodiversity policies.
Further refinements include the application of large language models (LLMs) to enhance risk assessments. The platform extracts data from corporate reports, policies, and regulatory filings, strengthening its materiality analysis and nature risk dependency evaluations.
