Element 84 develops impactful end-to-end geospatial data-processing pipelines and software solutions, including a cloud-native geospatial processing suite named FilmDrop. They also offer solutions in machine learning, which is a subset of artificial intelligence. Additionally, their projects involve the use of geospatial data, such as visualizing natural disasters using GOES Mesoscale Imagery and cataloging synthetic aperture radar images with Ursa Space.
Geosite is developing applications that utilize artificial intelligence, as evidenced by the presence of a Sr. Machine Learning Engineer and a Director of Data Science. Additionally, the company works extensively with geospatial data, providing a cloud-based platform for aggregating and managing geospatial data sets, and employing multiple experts in geospatial technologies.
Trabus Technologies is developing applications that utilize artificial intelligence, as evidenced by their work in predictive analytics, deep learning, and machine learning. They also work with geospatial data, particularly in the maritime transportation industry, as demonstrated by their development of the Waterway Action Plan (WAP) dashboard and the River Information Services Enterprise (RISE).
EOS Data Analytics develops applications that utilize artificial intelligence, such as yield prediction, crop type classification, and advanced soil moisture analytics. Additionally, the company works extensively with geospatial data through its satellite-driven solutions and tools like EOSDA LandViewer, which is an online GIS-assistant providing geospatial technologies.
Satellogic is developing applications that utilize artificial intelligence through their Searchable Earth platform, which aims to provide near real-time analysis of the Earth's surface. Additionally, the company works extensively with geospatial data, as evidenced by their Earth Observation services, multispectral and hyperspectral imagery, and geospatial data products.
Synthetaic, now known as RAIC Labs, develops AI applications that utilize geospatial data. Their RAIC tool can analyze various types of data, including satellite earth observation imagery and drone footage, which are forms of geospatial data. Additionally, RAIC is an end-to-end AI pipeline that automates the analysis of large, unstructured datasets, confirming their involvement in AI development.
Esri is a global market leader in geographic information system (GIS) software, location intelligence, and mapping. Their ArcGIS software offers capabilities such as spatial analysis, data science, and remote sensing, which are indicative of AI applications. Additionally, Esri's technology is heavily focused on geospatial data, as evidenced by their work in mapping, spatial analysis, and the creation of digital twins.
MapLarge is developing applications that utilize artificial intelligence, as evidenced by their machine learning operations (ML Ops) suite to support the AI and machine learning model lifecycle on production-scale data. Additionally, the company works extensively with geospatial data, as indicated by their GIS mapping software, GPS asset and fleet tracking hardware products, and various geospatial applications and tools.
Descartes Labs is developing applications that utilize artificial intelligence, as evidenced by their AI-driven insights and machine learning technologies. Additionally, they work extensively with geospatial data, offering a Geospatial Platform, geospatial analytics, and a comprehensive data catalog of geospatial data.
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