Correntics and Sirocco partner to help businesses better manage climate risk across their value chains.
- Zurich, September 17, 2026
As climate change progresses, businesses face risks that extend beyond their own buildings and facilities. More frequent and intense extreme events can disrupt supply chains, damage production sites, and affect logistics, with consequences that can cascade through entire value chains.
Sirocco, a UK-based sustainability consulting firm, is partnering with Correntics, a Swiss climate risk analysis provider, to help businesses better understand these cascading impacts and how they affect their operations, costs and revenue.
«Current approaches to physical climate risk analysis often underestimate a business' true exposure. By focusing on their own operations and buildings, quantification of climate risk tends to miss what happens beyond the factory gate or the office door. By joining forces with Correntics, we’re providing companies with a more complete view of their exposure to climate risk across their value chains and the tools to adapt effectively.»
Tim Higgins, CEO and Founder of Sirocco
Under the new partnership, Sirocco will use Correntics’ data to power its new model, Threadline.
Threadline combines Correntics’ climate hazard data with other information, such as potential building damage and operational downtime, to assess how different climate hazards could affect individual nodes across a company’s value chain under different climate scenarios. It then maps how these disruptions could cascade through the value chain and translate into operational and financial impacts.
«We’re pleased to provide Sirocco with our high-resolution data. It provides comprehensive coverage of hazards and future climate scenarios, and the outputs go beyond risk and damage ratios to include business interruption metrics, something not many providers actually offer.»
Michael Gloor, CEO of Correntics
Beyond assessing exposure, Threadline simulates different mitigation strategies – from switching suppliers to changing distribution routes – exploring how these actions reduce overall exposure to climate risk. This in turn helps businesses identify where investment is likely to have the greatest impact.
«Our model shows businesses where in their value chain mitigation efforts should focus and what actions will actually make a positive difference to their bottom line, allowing them to build resilience without wasting money or time in the wrong place», said Higgins.
Together, Sirocco and Correntics will help businesses get a more complete picture of the climate risks they face and identify where targeted actions can strengthen resilience.
About Correntics
Correntics is a Swiss climate risk analysis provider that empowers companies to anticipate and mitigate emerging risks from weather and climate extremes. Their proprietary Software-as-a-Service (SaaS) solution offers businesses unique climate-risk analytics capabilities that strengthen internal risk management in various industries, including agriculture, chemical, logistics, and financial sectors. Additionally, Correntics partners with consulting firms to increase the efficiency and accuracy of physical climate risk assessments required to comply with relevant regulations, such as the Corporate Sustainability Reporting Directive (CSRD).
About Sirocco
Sirocco is a UK-based sustainability consultancy with a primary focus on carbon and climate data. They support organisations to transform carbon and climate data into a strategic asset, uncovering insights that help build real climate resilience, deliver on decarbonisation action and report more efficiently. Sirocco’s teams work across a wide range of industries, including FMCG, fashion, energy management and professional services to provide strategic support and accelerate regulatory compliance.
Threadline is Sirocco’s proprietary data model. By mapping physical climate risk across an organisation’s value chain, it estimates potential losses under multiple climate scenarios and time horizons, simulating and quantifying the impact of potential adaptation measures.