What they did: Cape Analytics analyzed visual data on tens of millions of homes in major metro areas nationwide by working with partners like the location data company Nearmap. That enabled a fine-grain analysis of residential solar power at a neighborhood level. Why it matters: The firm intends its localized data to help policymakers better understand where solar power is being adopted and why -- and help homeowners understand if they can get state-specific incentives for going solar. What they found: Every "super solar" neighborhood in the U.S. -- those with over 500 homes and solar systems -- is in California, except for one in Saint Petersburg, Florida, which is 13.2% solar. The big picture: Cape Analytics examined the entire U.S., Farzaneh tells Axios.

The insurance industry, after the trade market, is another sector where it is hard to predict the next big paradigm shift. Given the tentative stability and natural catastrophes, insurance companies often stand on a trembling ground and confront massive challenges, even when i comes to adopting seamless and intuitive digital solutions such as Artificial Intelligence in Insurance. Research N Reports has added a report, titled "Global Artificial Intelligence in Insurtech Market Size, Status and Forecast 2025," which provides an overview of the various factors enabling growth in the market. The statistical report offers a prime wellspring of applicable information for global business progress. What will be the market size and growth rate in the forecast year?

Last year's Camp Fire in California was devastating. California's hillsides are still green, thanks to a surplus of rain in the past few months, but the state is already exhorting homeowners to build 100 feet of "defensible space" around their homes, an ominous warning of the coming wildfire season. Cape Analytics, a data startup, wants to do one better, using images from the air and data analytics to identify homes most at risk from a fast-moving wildfire. The Mountain View, California-based company said Wednesday that it is releasing a new product that makes use of its machine learning tools for aerial imagery to assess wildfire risks to people's homes. The primary customer for the product is insurance companies, who can use the tools to assess risk and notify homeowners if that risk can be mitigated.

The global analysis of Artificial Intelligence In Finance Market and its upcoming prospects have recently added by Research N Reports to its extensive repository. It has been employed through the primary and secondary research methodologies. This market is expected to become competitive in the upcoming years due to the new entry of a number of startups in the market. Additionally, it offers effective approaches for building business plans strategically which helps to promote control over the businesses. "Artificial Intelligence is the intelligence which is shown by machines. Cognitive computing, Chatbots, Personal Assistant, Machine Learning are all peripherals of AI used in the finance industry extensively nowadays."

The home insurance industry was already worth $104 billion in 2018, according to some reports, but -- as with other sectors -- the insurance sphere is making a concerted effort to cut inefficiencies and optimize profits through automation. Seeking to position itself at the forefront of this push is Cape Analytics, a San Francisco-based startup founded in 2014 that is combining computer vision with geospatial imagery to help insurance companies evaluate properties as part of the underwriting process. Up until now, Cape Analytics specialized primarily in assessing single-family homes, and it has built a database of 70 million such properties across the U.S. But the company is now expanding its service to include other commercial residence types, such as multi-family properties -- covering low-rise apartment buildings of up to four storeys, condominiums, and more. The new offering is pitched as "the world's first reliable data stream of instant accurate commercial property information."

Cape Analytics has raised $17m in a series B round of funding to bring its AI-driven property intelligence solution to more US insurers. The financing round was led by XL Innovate, an insurance technology-focused venture fund. Cape Analytic's own insurance customers and partners, including The Hartford, Nephila, CSAA Insurance Group, Cincinnati Financial, and State Auto Labs Fund also took part in the round. The insurers join existing technology investors from current or prior rounds, including Formation 8, Data Collective, Khosla Ventures, Montage Ventures, Lux Capital, and Promus Ventures. As part of the financing round, XL Innovate partner, Martha Notaras, will join the company's board of directors. Cape Analytics stated that trillions of dollars are tied to real estate asses but, property related financial decisions are based on inaccurate or out-of-date information.

Property data analytics provider Cape Analytics has raised $17 million in new financing, led by re/insurer XL Catlin-backed insurtech venture fund XL Innovate. The fresh round of funding will be used by Cape Analytics to expand its sales and AI-centric product development teams. The company said in the future it will also look at expanding its footprint to new geographies and other applications within the insurance vertical, where significant opportunity exists to improve data quality being used by insurers to make critical decisions about their business. Cape Analytics uses computer vision and machine learning to turn current geospatial imagery into an accurate structured database of property information in the US. Insurers can access data on over 70 million buildings across the country, allowing them to instantly pull property information at the time of quote, choose better risks, and price policies more accurately.

Cape Analytics, a re/insurance data analytics provider, has announced that its property data coverage has been launched across the entire continental U.S, and claims it is the first national coverage to provide instant, imagery derived property information. The expanded coverage will allow U.S re/insurers to instantaneously access data on over 70 million buildings, meaning they can pre-fill property information, choose better risks, price policies more accurately, and reduce post-binding adjustments and cancellations. Cape Analytics also expects the product to streamline the process of home insurance application for consumers by facilitating more accurate online quotes. The company uses computer vision and machine learning to turn current geospatial imagery into structured data for any property, and provides access to 500 million data points that can inform users about a range of issues, such as nearby hazards, building footprints, and roof condition. The expanded coverage also includes new re/insurer-specific data features, such as roof characteristics like geometry, covering material, condition, and extensions; building characteristics like solar panels, and pool enclosures; and parcel characteristics.

California-based startup Cape Analytics uses artificial intelligence (AI) to check out your rooftop for insurance purposes. By analysing aerial imagery, the company can tell insurers the condition of your roof, as well as automate away human inspectors originally meant for the purpose. Most of the imagery comes from airplanes, although drones and satellites also play a role, chief executive and co-founder Ryan Kottenstette told Forbes. He added that Cape Analytics also takes in Earth observations from Google. Deep analysis distinguishes Cape from other imagery analytics firms such as Orbital Insight, Kottenstette said in the Forbes report.

When you first buy a house, your insurance company doesn't know very much about it or how much insuring it will cost. That's because it first has to send out an inspector to look at the exterior of your house, take measurements, and check out your roof to see what kind of shape it's in. Cape Analytics, a Mountain View-based data analytics startup, aims to change all that. Its API-pipeline can feed an insurance company information about a house's exterior square footage, roof type, roof condition, changes in a home and more - all thanks to the use of machine learning to analyze aerial imagery. The company announced Monday that it's launching data coverage for the entirety of the continental United States - over 70 million American homes - though it's already been providing information to insurance customers like national reinsurer XL Catlin and the Florida-based Security First Insurance.