Arturo, provider of AI-powered residential and commercial property analytics data and predictive analysis, today announced it has joined the Open Geospatial Consortium (OGC), a worldwide community committed to improving access to geospatial (location) information. OGC connects people, communities, and technology to solve global challenges and address everyday needs.
Recently, Arturo completed its Series A funding round and the company has built on that momentum by joining the OGC Community. Arturo is recognized by leading insurance carriers as possessing the best deep-learning models that can deliver property data to its customers instantaneously and continues to gain clients and recognition across the industry. Arturo has the ability to provide structured data observations and predictions for commercial and residential properties using satellite, aerial, drone, ground-level and stratospheric imagery.
“We are excited to welcome Arturo to the OGC Community,” says OGC CTO and Chief Engineer, George Percivall. “These are pivotal times in the geospatial industry as OGC collaboratively modernizes our suite of location standards to enable the seamless integration of location information into any application. As a leader in the application of machine learning to geospatial information, it is great to see Arturo commit their resources to advance geospatial capabilities across artificial intelligence and machine learning – a technology area identified as an important ‘Emergent Trends Cluster’ by the OGC Technology Trends process.”
“We are extremely pleased to join the Open Geospatial Consortium Community,” said Ben Tuttle, PhD, CTO of Arturo. “It is useful to be part of a group that is sharing resources and collaborating to improve AI and ML in the geospatial industry. I am excited to be part of the GeoInsurance Working Group and begin contributing to the conversation that will advance AI in the insurance industry.”
OGC represents over 500 businesses, government agencies, research organizations, and universities united with a desire to make location information FAIR – Findable, Accessible, Interoperable, and Reusable.
