Strategic Partnership Expands the Scope of Extra-Financial Intelligence
Clarity AI announced a major strategic partnership with RiskThinking.ai that significantly advances the depth and precision of climate risk and nature-related analytics available to financial institutions and corporations. The collaboration integrates RiskThinking.ai’s advanced asset-level physical climate risk modelling into Clarity AI’s global technology platform, enabling organizations to move from high-level corporate disclosures to highly granular, bottom-up climate intelligence. This step marks an important milestone in the evolution of climate analytics as investors and companies face growing pressure to understand the real-world exposure of assets to climate hazards, biodiversity loss, and environmental change. The partnership is designed to close long-standing data gaps that have limited the usefulness of traditional environmental reporting and risk assessment approaches.
Closing the Gap Between Corporate Reporting and Real-World Risk
For years, financial institutions have relied heavily on corporate-level climate disclosures and top-down modelling to estimate environmental risk exposure. While these methods provide broad insights, they often fail to capture the physical realities of climate risk at the asset level, where impacts are actually felt. The partnership between Clarity AI and RiskThinking.ai is specifically designed to address this gap. By embedding detailed geospatial datasets and advanced modelling capabilities into Clarity AI’s platform, the collaboration delivers unprecedented visibility into the climate vulnerability of millions of real-world assets. This enables investors and corporations to better understand how floods, wildfires, heatwaves, storms, and other hazards affect individual facilities, supply chains, and infrastructure. The shift toward asset-level transparency represents a major step forward in climate risk management and financial decision-making.
Transforming Climate Analytics Through Asset-Level Intelligence
One of the most transformative aspects of the partnership is the scale of asset-level coverage now available to users. With visibility into more than three million individual assets spanning approximately 15,000 ultimate parent companies, the platform enables organizations to seamlessly move from broad disclosures to actionable intelligence. This bottom-up approach allows financial institutions to understand where risks exist, how they may evolve under different climate scenarios, and what actions may be required to mitigate exposure. Asset-level intelligence also strengthens portfolio analysis by revealing concentrations of risk across geographies, industries, and supply chains. The result is a more realistic and defensible view of climate exposure that can be used for investment strategy, risk management, regulatory reporting, and stakeholder communication.
Climate Risk Becomes a Financial Reality
The urgency behind this partnership reflects a broader shift in how climate risk is perceived across financial markets. Climate risk is no longer considered a distant or theoretical issue. Instead, it is actively reshaping asset valuations, influencing insurance availability, and driving new regulatory expectations worldwide. As extreme weather events become more frequent and severe, the financial consequences of climate change are becoming increasingly visible. Investors and corporations are under growing pressure to demonstrate that they understand and are actively managing these risks. The integration of RiskThinking.ai’s modelling capabilities into Clarity AI’s platform helps organizations respond to this pressure by providing the scientific rigor and data transparency needed to support credible, defensible decision-making.
Introducing the Climate Digital Twin™ Platform
At the heart of RiskThinking.ai’s contribution to the partnership is its Climate Digital Twin™ platform. This sophisticated modelling system runs full hydrologic simulations across a wide range of climate scenarios and warming levels to produce high-fidelity physical risk outputs. Unlike simplified models that rely on approximations, the Climate Digital Twin™ performs detailed simulations that capture the complexity of real-world environmental systems. This approach allows organizations to explore how physical climate risks may evolve under different future scenarios, helping them prepare for both near-term and long-term impacts. By incorporating these capabilities into Clarity AI’s platform, the partnership ensures that users gain access to cutting-edge climate science in a format that can be easily integrated into everyday workflows.
Embedding Advanced Climate Intelligence Across Workflows
The integration of RiskThinking.ai’s data and models into Clarity AI’s platform strengthens the company’s broader climate and sustainability solutions. Clients can access these insights through multiple channels, including a standalone web application, AI-powered agents, APIs, and integrations with enterprise systems. This flexibility ensures that climate intelligence can be embedded directly into existing workflows, making it easier for organizations to incorporate environmental considerations into investment decisions, risk assessments, and reporting processes. By offering multiple access points, the platform supports a wide range of use cases, from portfolio analysis and corporate strategy to compliance and disclosure.
Supporting a Global Client Base Managing Trillions in Assets
Clarity AI’s client base collectively manages more than $80 trillion in assets under management, underscoring the scale and impact of this partnership. By expanding the platform’s capabilities, the collaboration empowers a vast network of financial institutions and corporations to improve their understanding of climate and nature-related risks. The ability to analyze millions of assets across thousands of companies provides a powerful foundation for better investment decisions and more effective risk management. As climate risk continues to influence global markets, the availability of robust, data-driven insights becomes increasingly essential for organizations seeking to protect and grow their portfolios.
Moving From Top-Down Models to Bottom-Up Precision
Traditional climate risk models often rely on top-down approaches that aggregate data at the corporate or sector level. While these methods can provide valuable context, they may overlook important variations in risk exposure across individual assets. The partnership between Clarity AI and RiskThinking.ai introduces a bottom-up perspective that complements and enhances existing models. By analyzing the specific location and characteristics of individual assets, the platform can identify risks that might otherwise remain hidden. This level of detail is particularly valuable for investors seeking to understand how climate risks may affect specific holdings or regions. It also supports more precise scenario analysis and stress testing, helping organizations prepare for a range of potential outcomes.
Enhancing Transparency and Technical Auditability
As climate reporting requirements become more stringent, organizations must demonstrate that their risk assessments are based on credible and transparent methodologies. The partnership strengthens technical auditability by providing detailed, scientifically grounded data that can support regulatory filings and stakeholder communications. By combining Clarity AI’s expertise in extra-financial intelligence with RiskThinking.ai’s rigorous modelling capabilities, the collaboration delivers a solution that meets the growing demand for transparency. This enhanced auditability is particularly important as regulators and investors increasingly scrutinize climate disclosures and demand evidence of robust risk management practices.
Asset-Level Granularity Unlocks New Insights
A key feature of the partnership is the inclusion of precise latitude and longitude data for millions of corporate assets worldwide. This dataset covers a wide range of asset types, including critical infrastructure, manufacturing facilities, corporate offices, and retail locations. By mapping assets at this level of detail, organizations can better understand how physical climate hazards may affect their operations and investments. For example, companies can identify facilities located in flood-prone areas or regions vulnerable to extreme heat, enabling them to prioritize mitigation strategies. Investors can use the same data to assess the resilience of portfolios and identify opportunities for risk reduction.
Sophisticated Physical Risk Modelling Across Scenarios
The partnership also delivers advanced physical risk modelling capabilities that simulate climate hazards across multiple scenarios. These models consider different warming levels and environmental conditions, allowing users to explore how risks may evolve over time. Scenario analysis is a critical component of modern climate risk management, as it helps organizations prepare for uncertainty and develop resilient strategies. By incorporating sophisticated modelling into Clarity AI’s platform, the partnership ensures that users have access to the tools needed to assess potential future risks and plan accordingly.
Strengthening Nature and Biodiversity Analysis
In addition to climate risk modelling, the collaboration enhances Clarity AI’s nature and biodiversity analytics. Organizations are increasingly expected to understand how their operations and investments affect ecosystems and biodiversity. The partnership improves the ability to track how corporate footprints interact with sensitive ecosystems and biodiversity-rich areas. This capability supports more comprehensive environmental assessments and helps organizations align with emerging frameworks focused on nature-related risk and impact. As biodiversity loss becomes a growing concern for regulators and investors, the ability to analyze these risks alongside climate impacts represents a significant advantage.
Meeting Evolving Regulatory Expectations
Regulatory expectations for climate and sustainability reporting continue to evolve rapidly. Governments and regulatory bodies around the world are introducing new disclosure requirements designed to improve transparency and accountability. The partnership between Clarity AI and RiskThinking.ai provides tools specifically designed to meet these rigorous reporting standards. By offering robust data, advanced modelling, and enhanced auditability, the platform helps organizations navigate complex regulatory landscapes. This support is particularly valuable for financial institutions and multinational corporations that must comply with multiple reporting frameworks across different jurisdictions.
Empowering Decision-Makers With Actionable Insights
One of the primary goals of the partnership is to empower decision-makers with actionable insights. By providing a comprehensive view of climate and nature-related risks, the platform enables organizations to make more informed choices about investments, operations, and strategy. These insights can be used to identify high-risk assets, prioritize mitigation efforts, and develop long-term resilience plans. The ability to move from broad disclosures to precise, asset-level analysis helps organizations take proactive steps to address environmental risks rather than reacting after impacts occur.
Accelerating the Adoption of Advanced Climate Analytics
The collaboration also aims to accelerate the adoption of advanced climate analytics across the financial sector. By making sophisticated modelling capabilities more accessible, the partnership lowers barriers to entry for organizations seeking to improve their climate risk management practices. This democratization of advanced analytics supports the broader transition toward more sustainable and resilient financial systems. As more organizations gain access to high-quality climate data and modelling tools, the overall quality of climate risk assessment and decision-making is likely to improve.
Scaling Precision Across Financial Markets
The partnership represents a significant step toward scaling high-precision climate analytics across financial markets. By combining Clarity AI’s global platform with RiskThinking.ai’s modelling expertise, the collaboration delivers a solution capable of serving a wide range of institutions and use cases. This scalability is essential for addressing the systemic nature of climate risk, which affects markets, industries, and economies worldwide. By enabling organizations to access asset-level insights at scale, the partnership supports more resilient and informed financial systems.
Building the Future of Climate and Nature Intelligence
The integration of RiskThinking.ai’s capabilities into Clarity AI’s platform marks an important milestone in the evolution of climate and nature intelligence. As organizations face increasing pressure to understand and manage environmental risks, the need for accurate, granular, and scientifically rigorous data continues to grow. The partnership positions both companies at the forefront of this rapidly evolving field, providing the tools and insights needed to navigate an uncertain future. By bridging the gap between corporate-level reporting and asset-level reality, the collaboration helps organizations move toward more informed, transparent, and resilient decision-making.
About Clarity AI
Clarity AI is an AI-native platform that brings impact and risk into decision-making across capital markets, companies, governments, and consumers.We transform complex extra-financial data into decision-grade intelligence that supports capital allocation, regulatory compliance, risk management, and long-term strategy.
Our clients — including leading global institutions such as BlackRock, Nordea, Santander, BNP Paribas, and PGIM — rely on Clarity AI to gain comprehensive visibility across the universe they operate in, with insights that are transparent, auditable, and ready for public disclosure. Through proprietary global datasets, research-backed methodologies, and artificial intelligence, Clarity AI delivers scalable solutions designed for high-stakes decisions. Our modular infrastructure integrates easily into existing workflows, enabling efficiency without adding operational complexity.
With global presence across EMEA, APAC, and the Americas, Clarity AI enables markets to support resilient, sustainable growth.
About RiskThinking.ai
RiskThinking.ai is the leading provider of asset-level physical climate risk modelling for financial institutions, government agencies, and corporates. Its Climate Digital Twin™ (CDT™) platform is built on a globally consistent database of physical asset locations combined with high-resolution hazard projections — and uniquely, runs full hydrologic model simulations for every climate scenario and warming level combination, rather than relying on the scaled approximations used by most providers. This means RiskThinking.ai’s outputs reflect the actual distribution of physical risk outcomes, not a smoothed proxy.
All projections are presented as full probability distributions, including extreme tail risks — giving decision-makers complete visibility into climate uncertainty rather than a single-point estimate. The platform uses meteorological forcing data updated through 2025, ensuring risk outputs reflect the current climate signal rather than a decade-old baseline. RiskThinking.ai is trusted by partners including Bloomberg LP, the Office of the Superintendent of Financial Institutions (OSFI), and TMX Datalinx. To learn more, please visit https://riskthinking.ai/.
