Arbol Launched Innovation Unit to Refine Risk Modeling
The New York-based firm expanded its research capabilities to improve underwriting across agriculture and energy lines.
Updated on Oct. 6, 2026 in Artificial Intelligence
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New York-based Arbol has launched an innovation unit tasked with advancing its modeling, data analysis, and underwriting research. This development aims to broaden the scope of specialty risks the company can price and write.
Why it matters
The unit was created to accelerate Arbol's ability to handle complex specialty lines, including wildfire, flood, energy, and agriculture. By integrating new data pipelines, the company intends to refine its contract pricing and risk assessment strategies.
The unit integrates catastrophe models with the TESSERA data model, which utilizes radar and optical satellite data to monitor changes in land surfaces. This framework supports more precise underwriting by quantifying environmental variables versus legacy baseline modeling.
The players
Arbol
A New York-based firm focused on parametric insurance products and climate data infrastructure.
Clement Atzberger
The newly appointed chief scientist for Arbol's innovation unit and co-developer of the TESSERA data model.
The details
The innovation unit functions by centralizing the development of data pipelines and predictive models. The TESSERA model acts as a foundational tool, processing radar and optical satellite feeds to track shifts in physical land characteristics. This technical integration allows for more granular assessments in specialized sectors like wildfire or flood management, moving beyond static risk tables.
Timeline
October 6, 2026: Arbol launched the innovation unit.
The Tech Race
The formation of this unit signals an intensified effort to industrialize climate modeling for commercial insurance applications. It follows a research trajectory established by the TESSERA model, moving from theoretical satellite land tracking to direct, high-stakes underwriting utility.
The expansion will eventually alter the pricing and contract availability for commercial clients in agriculture, energy, and flood-prone sectors. New York-based industry partners should look for updated policy structures as the innovation unit scales its research into production workflows.
The takeaway
Arbol is betting that tighter integration of satellite-derived land data will provide a competitive edge in pricing specialty risks. Investors and partners should track the firm’s upcoming contract offerings to see how these refined catastrophe models influence policy premiums.
Further reading
For more on how computational modeling is changing insurance, visit the Artificial Intelligence section.
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