Arbol

Big News Alert! Arbol has closed a $60 million Series B funding round, and we're thrilled to share the details with you! This funding marks a significant milestone in our journey to redefine climate risk management globally. Our Series B was led by Giant Ventures and Opera Tech Ventures, with participation from Mubadala Capital. With the increasing frequency of climate-related disasters, innovative insurance solutions are more critical than ever. Parametric climate insurance, which triggers payouts based on objective data, ensures quick and fair financial relief to communities impacted by catastrophic events. Our Series B will enable us to expand into new markets, strengthen our partnerships with financial institutions, and enhance our technology ecosystem to provide customized solutions that cater to diverse needs. Our goal is to scale parametric insurance to aid the global response to unprecedented climate risk. Curious to learn more? Read our full announcement here: https://lnkd.in/ePY8Ptsb Or read the announcement article published today in Bloomberg: https://lnkd.in/ePXCyC8d

Make sure to check out this edition of The Insurer TV with George Abbott, where Arbol CEO Siddhartha Jha discusses our latest strides in leveraging technology and robust data infrastructure to advance parametric insurance adoption in response to mounting climate risks. Catch the full interview to explore how Arbol is innovating in insurance and climate risk management: https://lnkd.in/eA-4ixWn

In Insurance Thought Leadership, our CEO Siddhartha Jha recently addressed why traditional insurance methods need parametric support amid escalating climate risks. Community Support and Business Continuity: For Communities: Sid outlines government-funded indices to support urban populations dependent on agriculture, providing swift aid after climate events. For Businesses: He also highlights how parametric insurance ensures quick financial recovery for businesses affected by natural disasters, keeping supply chains running smoothly. How do you think parametric insurance solutions fit into the climate risk management puzzle? https://lnkd.in/eZX2vPA6

Forecast Update: NOAA forecasts 8-13 hurricanes this year, signaling an 85% likelihood of above-normal activity. This record-setting prediction underscores the urgent need for effective disaster preparedness and innovative risk strategies. At Arbol, we're exploring how advancements like parametric insurance can foster community resilience against unpredictable seasons. What strategies do you think could help mitigate the impact of this forecasted increase in hurricane activity? #ClimateRisk #HurricaneSeason https://lnkd.in/et8RDiDD

Thank you to Cameron McLain, Tommy Stadlen, Georgia Ritter and the Giant Ventures team for hosting Arbol at the Giant Ideas Summit this past week in London, where our CEO Siddhartha Jha gave a presentation on Arbol's vision for scaling parametric insurance.

In a recent Risk & Insurance article, our CEO, Siddhartha Jha, offered insights on blockchain's transformative impact on the insurance industry amid climate change challenges. The piece highlights how blockchain improves catastrophe response speed through smart contracts, enables transparency for critical climate data sharing, and provides a framework for managing the growing carbon markets. Explore the article to see how #blockchain is setting new standards in climate risk insurance. https://lnkd.in/eHGSJ5ZD

Check out this new feature from InsTech on how Arbol is enabling climate risk transfer in a range of sectors, including renewable energy and reinsurance. Among the topics covered in this discussion: -The growth of the renewable energy sector -How Arbol is turning climate risk into an asset class -The importance of reinsuring less remote events -The power of parametric Read the full article below:

Curious about how parametric pricing works in insurance? Arbol's proprietary AI underwriter processes thousands of variables to deliver the best possible prices in record time. Here's a peek into our sophisticated pricing process: - Multi-Year Cycles: We analyze patterns like the El Niño-Southern Oscillation cycle to forecast long-term trends. - Inter-Day Variability & Seasonal Changes: We consider daily weather fluctuations and normal seasonal variations, essential for accurate local pricing. - Long-Term Trends: Our models integrate multi-decade global climate data to anticipate future risks. Our digital platform takes this complex data and turns it into customized, structured, and precisely priced insurance products within minutes. Connect with us to learn how our solutions can benefit your business. https://lnkd.in/eYPV8ihZ

We're Hiring! Arbol is looking for talented individuals to join our global team. With our headquarters in New York City and a growing presence in the UK and Europe, we're bringing together the best minds worldwide to redefine climate risk management. You'll work alongside a global team that values collaboration, creativity, and a forward-thinking approach to climate risk solutions. Interested in exploring open roles at Arbol? Check out our career opportunities today and join a team that's making a real impact on climate resilience and risk management. Check out open positions here: https://lnkd.in/ev2ycZbY

Arbol is featured in a new Bloomberg article by Sam Potter on the $25 billion weather derivatives market, a rapidly expanding tool for protecting businesses against climate volatility. Our Chief Revenue Officer, Scott Klemm, emphasizes the immense growth potential in this market, especially given the rising frequency of adverse weather events and their impact on businesses worldwide. Weather derivatives provide crucial protection by hedging against less severe yet common threats like rainy seasons or excessive heat waves. These contracts safeguard farmers, tourism companies, and renewable energy producers, allowing them to hedge against unpredictable climate risks. Learn more about this market by checking out the article here: https://lnkd.in/erH3yXra #ClimateRisk #WeatherDerivatives #ParametricSolutions