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Added Refinement with Geoverse 2.0: Precision Nature Risk Intelligence

As nature-related risks become more nuanced and interconnected, the tools used to assess them must evolve with equal sophistication. Geoverse 2.0, the latest evolution of NatureAlpha’s AI-powered nature risk analytics platform, brings a new level of refinement to environmental data—delivering insights that are not only faster and broader, but also significantly more granular, accurate, and intelligent.

At the foundation of this refinement is a commitment to continuous enhancement. Geoverse 2.0 is constantly updated to reflect the latest developments in environmental science, regulatory frameworks (such as TNFD and CSRD), and AI technology. This ensures the platform stays ahead of market expectations while providing users with data that is both current and forward-looking.

One of the platform’s most powerful refinements is its Enhanced Materiality Matrix—a sophisticated engine that allows users to explore more detailed and context-specific impact and dependency assessments. Whether identifying how a company’s operations affect local ecosystems, or understanding its reliance on natural capital, users can drill into the specifics with clarity and confidence.

Geoverse 2.0 also introduces cutting-edge multidimensional unmanaged risk calculations, designed to uncover risks that may not be explicitly disclosed. Leveraging large language models (LLMs), the platform intelligently extracts and analyses data points from company reports, policies, environmental controls, and sustainability disclosures, enabling a deeper understanding of both action and inaction when it comes to biodiversity and ecosystem risk.

This added refinement empowers investors, sustainability teams, and regulators to move beyond surface-level metrics and engage with true risk exposure at the most detailed level. With Geoverse 2.0, NatureAlpha ensures that your nature risk strategy is not only fast and comprehensive—but also precise, evolving, and insight-rich.

Key points:

Enhancements based on evolving science, technology and frameworks are continually appliedEnhanced

Materiality Matrix underpins more granular impact and dependency analysis

Multidimensional unmanaged risk calculations now draw on LLMs to extract enhanced data points across company reports, policies, controls, or disclosures mitigating key nature-related risks

Experience the refined power of Geoverse 2.0 today.

NatureAlpha Team
April 11, 2025

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Transitional: Natural resource availability

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Physical: Water risk and rising sea levels

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