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Resilient

Resilient provides a platform that quantifies potential financial losses from climate-related events for industrial companies, utilizing a methodology that incorporates both the probability and intensity of climate scenarios. This enables businesses to prioritize adaptation measures based on measurable data, ensuring compliance with climate risk reporting standards.

Bougival, FranceFounded 20245500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Industrial companies face increasing financial risks from climate-related events, but quantifying these potential losses and prioritizing adaptation measures remains challenging. Existing approaches often lack the granularity and scalability needed to assess risks across multiple sites and account for complex interdependencies. Compliance with emerging climate risk reporting standards like CSRD further necessitates accurate and auditable risk assessments.

Solution

Resilient offers a platform that quantifies potential financial losses from climate-related events for manufacturing companies, enabling data-driven adaptation strategies. The platform uses a methodology that incorporates both the probability and intensity of climate scenarios, providing a comprehensive risk assessment. By modeling the specific characteristics of industrial sites and their interdependencies, Resilient delivers tangible financial metrics, such as potential downtime and lost production, to justify adaptation investments and prioritize risk mitigation efforts. The solution allows companies to comply with climate risk reporting standards by providing auditable data on potential financial impacts.

Target Audience

The primary target audience includes manufacturing companies seeking to quantify and mitigate financial risks associated with climate change, as well as comply with climate risk reporting standards.

Features

  • AI-powered model that quantifies financial losses due to climate hazards at industrial sites.
  • Considers both the probability and intensity of climate scenarios for a comprehensive risk assessment.
  • Models interdependencies between production sites to provide a group-level quantification.
  • Generates financial metrics, including potential downtime and lost production, to materialize losses.
  • Provides data to support compliance with climate risk reporting standards like CSRD.
  • Uses existing documentation to perform quantification across all sites instantly.
This profile is AI-generated and may contain inaccuracies.