HomeHome InsuranceArturo, an Innovative Property Insurance Imaging AI company, Moves to Utah

Arturo, an Innovative Property Insurance Imaging AI company, Moves to Utah


Arturo is the leading AI-powered platform transforming how property insights are gathered and applied across insurance, real estate, and other critical industries. By leveraging state-of-the-art computer vision, proprietary machine learning, and AI technologies, Arturo extracts actionable insights from geospatial imagery. Arturo’s platform provides unparalleled accuracy and efficiency in property analysis, enabling insurers to reduce costs, streamline operations, and make data-driven decisions confidently.

In November 2024, Arturo moved to a new location in South Jordan, Utah. The transition to Utah reflects the company’s commitment to leveraging the state’s robust technology sector, known as ‘Silicon Slopes.’ 

Marty Smuin, Chief Executive Officer, Arturo AI

“I’m a transplant into Utah. I’ve loved watching the Utah tech sector grow. I was there before it started to grow,” said CEO Marty Smuin. “Getting to Utah was the goal I had when I took over as CEO of Arturo in September of 2023. We wanted to be a Utah-based company, so we moved our headquarters from Denver to South Jordan.”

Arturo was spun out of American Family Insurance, a 90-year-old insurance company based in Madison, Wisconsin that prides itself on having the highest ethical standards. Smuin explained further, “American Family Insurance has a robust innovation center with the best and brightest insurance specialists in the field. This center identified a problem that needed to be solved. According to Smuin, a need in the market could be aided by geospatial imagery coming from satellites and aircraft. We take this imagery and extract the elements to assess the risk of underwriting a property.” 

Arturo’s new office in Silicon Slopes

“We are a company that relies on AI and machine learning,” explained Smuin. “When we were spun out, we were using machine learning, basic tools to extract data from imagery, in order to get insights for underwriting and claims.”

Arturo has further refined machine learning and is applying AI innovatively in conjunction with ultra-high resolution photography mostly taken from aircraft using sophisticated cameras and long lenses that that can detect intricate property details, such as the width of a rain gutter or the angle of a leaning tree, at a finer resolution typically obtainable using satellite technology that is commonly seen on consumer mapping and real estate websites.

Smuin shared insights on how the insurance industry uses imagery in its underwriting and claims activities. “When a person needs a homeowners insurance policy, behind the scenes, the insurance company is pulling an image of your home, a high-resolution image from above,” said Smuin. “The image is called an ‘ortho.’ The insurance company is looking at your roof, your surroundings, and things that could be considered risk elements. For example, a roof that needs repair, a swimming pool without a fence around it, or vegetation encroaching on the home that is a fire risk. There could be drought conditions in the area. It could be any number of 1,000 things.” 

This is where Arturo comes in. “We have 35 models that we currently continue to update. These models are designed to go in and search for things that we teach them to search for. For example, gutters with or without debris. What type of vegetation is around the home? What material is the roof made of? Is it shake? Is it shingle? Is it tile? All of these things go into creating a risk assessment for an insurance company.” 

Smuin explained the difference in resolution that his technology uses as compared to typical property images commonly found on the internet in popular mapping and real estate websites. “We use seven-centimeter images. What does that mean? One pixel on your display screen, if it’s seven centimeters, is what we consider high resolution. In comparison, satellite imagery is 30 centimeters.”

Arturo can use high-resolution imagery and AI to determine a property’s quality and risk factors, but it goes beyond and can show flood risk, an increasingly worrisome issue lately. As Smuin explained, “We show areas where there is flooding. Because we overlay flood data, we can tell you if there’s a centimeter or two centimeters of water where it shouldn’t be.”

Arturo considers 35 factors to determine a home’s score. It provides recommendations to improve the score, such as trimming trees, fencing a swimming pool, etc.

Smuin also highlighted that as the company grows, it’s preparing to make its data more accessible to businesses and homeowners. The goal is to help individuals gain deeper insights into their homes and usher in a new era of proactive property management.

For more information, visit arturo.ai


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