Arbol Launches Innovation Unit and Appoints Dr. Clement Atzberger as Chief Scientist to Scale AI Underwriting

Arbol has appointed Dr. Clement Atzberger as Chief Scientist to lead its new Innovation Unit, a move designed to deepen the firm’s proprietary modeling capabilities. For carriers and MGAs, this signals a shift toward AI-native underwriting of complex climate risks like wildfire and flood, potentially narrowing the protection gap in markets where traditional data has historically proven insufficient.

What was announced

Arbol’s new Innovation Unit, under the direction of Dr. Atzberger, is tasked with creating a foundational intelligence layer for the company’s specialty risk products. The unit will initially prioritize agriculture, developing advanced modeling to support weather and yield protection products. This initiative aims to address coverage gaps where standard insurance policies are often unavailable or where businesses face hurdles regarding claims settlement processes. Arbol currently prices fourteen perils using models developed entirely in-house, including yield, flood, and wildfire. This internal approach contrasts with the broader industry trend of licensing catastrophe models from third-party vendors.

The Innovation Unit will integrate these models with data pipelines and underwriting research to refine pricing and contract terms. A key component of this research involves TESSERA, a data model co-developed by Dr. Atzberger. TESSERA transforms raw radar and optical satellite time series into AI-ready representations of land surface status at a 10-meter global resolution. This high-resolution data allows for a more granular understanding of climate risk, supporting applications in carbon projects, restoration, and farming, while enabling the insurer to price risks that were previously considered uninsurable due to data limitations. By calibrating these models against live underwriting outcomes, the unit seeks to improve the accuracy and efficiency of climate risk assessment across specialty lines.

"In academia, you are usually done with a model once it is accurate enough to publish. Insurance demands more, because someone has to be willing to pay a claim on what the data says, and that is a big part of why I came here. Many of the risks Arbol writes are ones other carriers decline because the data they have was never good enough to price on. The work of our unit is to keep improving the models and the data behind underwriting decisions, so that more of what gets declined today becomes something we can write."

Clement Atzberger at Arbol.

The companies involved

Founded in 2018 and headquartered in New York, Arbol operates as a vertically integrated insurer, managing the entire value chain from risk pricing and underwriting to providing the underlying capacity and reinsurance solutions. The company distinguishes itself in the market as an AI-native entity, running its licensed insurer, reinsurance platform, and agency network on a single proprietary operating core. This structure is designed to connect customers directly to capital, bypassing some of the traditional frictions found in the specialty insurance market.

Led by Chairman and CEO Sid Jha, Arbol focuses on markets exposed to volatile weather perils, including drought, flood, wildfire, and storm wind. By maintaining control over its own catastrophe models rather than relying on external vendors, the firm seeks to maintain a tighter feedback loop between real-world underwriting outcomes and model calibration. This technical independence is central to its strategy of addressing the "protection gap" in climate-exposed sectors, where traditional carriers may struggle with the lack of historical data or the complexity of modeling secondary perils. The firm's approach combines remote sensing science with quantitative finance to automate and scale risk transfer.

What FF News has reported before

FF News has previously tracked Arbol’s strategic moves to scale its operations within the climate risk sector. In November 2023, we reported that Parametric Climate Risk Transfer Specialist Arbol Appoints Pro MGA Global Solutions. That partnership was aimed at leveraging Pro MGA’s platform to support Arbol’s growth as it expanded its reach in the parametric insurance space. This earlier reporting underscores Arbol’s ongoing commitment to building a robust infrastructure that supports the distribution of technology-driven insurance products, particularly those focused on closing the global climate protection gap through precise, data-backed underwriting and streamlined capacity management.

What this means from an insurtech perspective

This move highlights a growing divide in the insurance value chain between carriers relying on legacy third-party catastrophe models and AI-native firms building proprietary intelligence layers. By internalizing the foundational modeling process, Arbol places significant pressure on incumbent vendors whose generalized models may lack the 10-meter resolution required for modern climate underwriting. For reinsurers and MGAs, the success of this Innovation Unit will be measured by its ability to lower loss ratios in volatile lines like agriculture and wildfire. If Arbol successfully converts declined risks into bankable business through superior data granularity, it may force a broader industry shift toward vertically integrated, data-first underwriting structures that prioritize proprietary science over licensed software.