Arbol Launched New AI Innovation Unit

The New York-based firm has established a research division to enhance its risk modeling and underwriting capabilities.

Updated on Oct. 6, 2026 in Artificial Intelligence

Bold vector editorial illustration of stacked geometric blocks, representing data modeling and risk architecture.
Arbol has launched a dedicated research and innovation unit in New York, aiming to advance data modeling and precision underwriting for complex specialty insurance risks. AI Illustration. Upload story photo >

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Arbol launched an innovation unit in New York to advance its research in data, modeling, and underwriting. The group aims to expand the types of risks the company can price and write across multiple sectors.

Why it matters

This innovation unit is designed to integrate complex data pipelines and catastrophe models to improve the precision of contract terms. By leveraging advanced research, the company hopes to broaden its coverage capabilities in specialty insurance lines.

The unit integrates catastrophe models and data pipelines to support pricing. The TESSERA model utilizes radar and optical satellite data to track surface changes.

The players

Arbol

A New York-based company that specializes in technology-driven risk management and insurance solutions.

Clement Atzberger

The chief scientist at Arbol who previously served as the chief scientific officer at dClimate Labs and co-developed the TESSERA data model.

The details

The new research arm will focus on developing technical modeling and data tools for agriculture, energy, wildfire, and flood insurance. Chief Scientist Clement Atzberger will lead the effort, utilizing his experience with the TESSERA data model to track land changes.

Timeline

  1. Arbol launched the new innovation unit on October 6, 2026.

The Tech Race

The integration of the TESSERA data model into Arbol's platform marks a shift toward leveraging satellite imagery for automated underwriting. This move positions the firm against legacy insurers that rely on slower, traditional risk assessment tools.

Clients in sectors like agriculture and energy may see more precise pricing and faster contract issuance due to these improved modeling capabilities. The adoption of this technology could lead to broader availability of coverage for previously difficult-to-insure environmental risks.

The takeaway

Data-driven modeling is becoming a critical differentiator for modern insurance firms looking to enter complex specialty markets. Companies that effectively integrate satellite and radar data into their underwriting workflows can offer more competitive and accurate risk assessments.

Further reading

For more on how new technologies are changing the industry, see the latest updates in Artificial Intelligence.

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