Deepki is the most trusted sustainability SaaS solution for real estate. The company, founded in 2014 and headquartered in Paris, has locations around the world and operates in over 90 countries. Their complete SaaS platform leverages AI capabilities to empower real estate owners, investors and occupants to track and optimize the performance of their assets, for a more sustainable, profitable portfolio.

As climate risks evolve from a long-term issue to an immediate financial issue, Deepki has partnered with Risk Management Partners, a unit of Munich Re, to integrate Location Risk Intelligence analytics directly into Deepki's platform, providing actionable insights on physical climate risks alongside sustainability KPIs on a single platform.

Deepki's customers are increasingly facing dual pressures: rising physical risks and increasing disclosure expectations. Frameworks such as the EU Corporate Sustainability Reporting Directive (CSRD), the EU Taxonomy, and the global ISSB standards require real estate companies to disclose climate-related risks, scenario-based exposure, and resilience planning.

Deepki understands that clients value flexibility and trust in their choice of risk methodologies within a single platform. By partnering with Munich Re, Deepki enhances its ecosystem, allowing clients to integrate specialized, regulatory-compliant climate analytics directly into their existing workflows. This ensures that clients can visualize their preferred data alongside Deepki’s sustainability insights, maintaining a streamlined 'one platform approach' for all portfolio decision-making.

Deepki chose Munich Re's Location Risk Intelligence because it combines scientific accuracy with practical results that meet the expectations of investors and regulators. Two product features were particularly relevant to Deepki's real estate use cases:

• Climate Financial Impact Edition
  Translates key natural hazards into financial risk metrics at the asset level.
• Reporting Edition
  Designed to support disclosure requirements and strengthen consistency across reporting workflows.

Crucially, Location Risk Intelligence's analytics are delivered via an API, allowing Deepki clients to visualize risk information within its platform rather than forcing customers to use separate tools. The result is a combined solution: Deepki's complete sustainability platform, supported by Munich Re's physical risk engine.

The partnership was formalized in late 2024. Shortly after, Deepki's product and engineering teams integrated Location Risk Intelligence via an API, enabling climate risk metrics to be generated at the individual asset level and displayed within the platform alongside existing sustainability and performance data.

In practice, this integration enables workflows such as:

• Asset-level views that combine sustainability and physical risks
  Clients can see climate risk indicators alongside energy and carbon metrics, supporting an “all factors in one place” decision-making process.
• Prioritizing the portfolio
  Portfolio managers can compare assets, identify those with higher expected climate-related impacts, and assess where adaptation measures make the most sense.
• Accelerating the reporting workflow
  Location Risk Intelligence results can feed into Deepki's reporting modules, reducing manual entry of hazard information per asset and improving the consistency of scenario-based disclosures.

By integrating Location Risk Intelligence into the Deepki platform, climate risk insights become part of daily decision-making and are no longer just a periodic, standalone task. Clients can link exposure to financially relevant signals, strengthening the connection between risk → materiality → action in portfolio strategy and resilience planning. Key outcomes include:

1. Greater decision transparency for real estate players
   Risk classes, hazard intensities, and loss metrics are in the same environment as sustainability performance, making it easier to align sustainability strategy with physical risk reality.
2. Improved readiness for scenario-based disclosure
   Integrated hazard coverage and scenario results help companies respond to changing regulatory and investor requirements with greater consistency and accountability.
3. Greater prioritization of adaptation investments
   By translating complex hazard information into comparable, portfolio-ready indicators, teams can better triage assets, focus on the most material risks, and financially justify resilience initiatives.
4. Credibility through trusted methodology
   Munich Re's long-standing expertise in natural catastrophes and recognized risk metrics provide additional confidence in internal governance, with external stakeholders, and in discussions with investors.