Clarity AI, the data‑driven platform that supplies extra‑financial intelligence to investors and corporations, announced a strategic partnership with RiskThinking.ai, a specialist in asset‑level physical climate risk modeling. The collaboration embeds RiskThinking.ai’s Climate Digital Twin™ technology and high‑resolution geospatial data into Clarity AI’s analytics suite, delivering bottom‑up climate and biodiversity insights that go beyond traditional top‑down reporting.
A shift toward granular risk intelligence
The joint offering now covers more than three million individual assets linked to roughly fifteen thousand ultimate parent companies. This depth enables users to transition from broad ESG disclosures to detailed, actionable intelligence that pinpoints exposure at the facility level. The integration also aligns with growing regulatory expectations for transparent, auditable climate risk data.
RiskThinking.ai’s Climate Digital Twin™ runs full hydrologic simulations across every recognized climate scenario and warming trajectory, producing fine‑grained physical risk outputs. By feeding these results into Clarity AI’s platform, the combined solution can surface hazard exposure for assets ranging from manufacturing plants and retail outlets to corporate headquarters and critical infrastructure.
How the technology fits together
Clarity AI’s existing architecture already aggregates ESG data from a wide range of sources and applies AI‑driven analytics to generate scores, forecasts, and scenario analyses. The partnership adds a new data layer: latitude‑longitude coordinates for millions of corporate assets, paired with bottom‑up physical risk models that evaluate exposure to floods, heatwaves, sea‑level rise, and other climate threats.
The integration is delivered through multiple access points, including a standalone web application, AI‑driven agents, and API‑based connectors. This flexibility allows enterprise customers to embed the enriched data into internal dashboards, risk‑management workflows, or third‑party platforms without extensive custom development.
Executive perspectives
“We are bridging the gap between corporate‑level reporting and asset‑level reality,” said Rebeca Minguela, CEO and Founder of Clarity AI. “While top‑down models provide an essential high‑level perspective, our partnership with RiskThinking.ai adds the granular detail required for rigorous audit and risk analysis. Our solutions, available as a standalone web app, through AI agents and through integrations such as API, MCP, and connectors, empower our clients to see the full picture of how climate and nature affect their portfolios.”
Dr. Ron Dembo, Founder and CEO of RiskThinking.ai, echoed the sentiment: “Climate risk is no longer a future concern; it is repricing assets, straining insurance markets, and reshaping investment decisions right now. What has been missing is the scientific rigour to quantify that risk at the asset level, across every scenario, without shortcuts. By partnering with Clarity AI, we are now accelerating access to that level of precision across a broader set of financial institutions at scale — giving them the fidelity they need to make decisions they can defend.”
What the partnership delivers
- Asset‑level granularity: Precise geographic coordinates for millions of corporate sites, covering everything from data centers to distribution hubs.
- Physical risk modeling: Advanced, scenario‑based simulations that assess exposure to climate hazards at the facility level.
- Enhanced nature & biodiversity analysis: Tools that map corporate footprints against ecologically sensitive zones, helping firms gauge impacts on local ecosystems.
- Regulatory readiness: Features designed to satisfy the reporting demands of global regulators, including the EU’s Sustainable Finance Disclosure Regulation (SFDR) and the U.S. SEC’s climate‑related disclosures.
Collectively, Clarity AI’s client base manages more than $80 trillion in assets under management (AUM), positioning the platform as a critical data source for large institutional investors seeking to meet both fiduciary and sustainability obligations.
Market implications
The integration arrives at a moment when investors are increasingly scrutinizing climate‑related financial risk. Asset managers, insurers, and corporate treasurers are all under pressure to demonstrate that they understand the physical exposure of their holdings. By providing a data set that links high‑level ESG scores with granular, location‑specific risk metrics, Clarity AI and RiskThinking.ai are addressing a clear market need for “bottom‑up” transparency.
From an enterprise technology standpoint, the partnership highlights a broader trend: the convergence of AI‑driven analytics with domain‑specific simulation engines. Rather than relying solely on statistical models, firms are layering deterministic, physics‑based outputs (such as those from the Climate Digital Twin™) onto AI‑enhanced insight platforms. This hybrid approach improves both the credibility and the actionable value of climate risk assessments.
Looking ahead
Both companies indicate that the collaboration is just the first phase. Future roadmap items include expanding the asset inventory to cover additional sectors, integrating real‑time sensor data for dynamic risk updates, and extending the biodiversity module to incorporate emerging metrics like natural capital accounting.
For enterprises, the key takeaway is that a more granular view of climate exposure is becoming operationally feasible without prohibitive data‑engineering effort. As regulatory frameworks tighten and investors demand higher fidelity, platforms that can deliver asset‑level risk insights at scale will likely become a baseline requirement rather than a differentiator.
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