Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data  triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage. 

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Ascend Venture Capital

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Winning Streak Ventures

Mubadala Capital Ventures

Arbol

#Reinsurance is like a safety net for insurance companies, helping them handle significant risks to protect more people and businesses. However, finding the right reinsurance support can be challenging.

Our blog simplifies reinsurance: what it is, why it’s important, and what to look for in a good reinsurance partner, especially with today’s unpredictable climate risks.

Swipe through our quick guide below, and click the link for the full story on how the right reinsurance strategy can make a difference.

https://lnkd.in/eyj7TR-d

Ever wonder how parametric solutions work? At Arbol, they’re a simple, 3-step process. 

1. Define your risk and location parameters (rain, wind, temp, etc.).
2. Set your payout parameters.
3. Let weather happen, get paid. Our contracts execute upon expiration data. 

No hassles, no ambiguities. 

Discover what our parametric solutions can do for you. 

https://arbol.io/ 

Natural disaster insurance plays a critical role in protecting properties from events like hurricanes, floods, earthquakes, wildfires, and tornadoes. 

Here's what you need to know:

1) Coverage varies by location and policy. It's vital to understand the specific risks and protections offered.

2) Exclusions are common. Many policies do not automatically cover flood and earthquake damage, requiring additional endorsements.

3) Supplementary Coverages such as separate flood and earthquake insurance, and sewer backup coverage, can fill these gaps, ensuring comprehensive protection.

For Insurance Producers:

Accurate assessment of your clients' coverage needs against natural disasters is crucial. Be aware of policy exclusions and the benefits of supplementary coverages to provide the best protection.

https://lnkd.in/dPtqsc5Z 


More than 22% of Cambodia’s GDP comes from agriculture. Yet, despite agriculture being a cornerstone of the Cambodian economy, most of the country's 3 million farmers lack insurance protection for extreme weather events.

Through its partnership with Arbol, AGRIBUDDY has provided small farmers with no collateral with $1.5 million in credits, significantly improving their ability to manage weather-related risks. 

Learn more about how Arbol and Agribuddy partnered to bring parametric coverage to thousands of smallholder farmers across Cambodia. 

https://lnkd.in/em3Zj3KW 

Understanding the impact of climate conditions on operations is crucial, especially as weather patterns become more unpredictable. With 28 extreme weather events causing over $1 billion in damages each last year in the U.S., are businesses taking the necessary steps to:

1) Identify and prioritize risks?
2) Assess direct and indirect impacts?
3) Develop strategies for mitigation and adaptation?

Connect with us to explore actionable strategies for climate risk assessment and business resilience.

https://lnkd.in/eHkwwgxT

Arbol is a climate risk management company that provides clients access to financial climate resilience by combining vast data networks with cutting-edge technologies and risk capital. The company offers parametric insurance products to address specific climate risks with a focus on scalability, precision, and transparency.

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