Breaking the mold of traditional geospatial analysis, Enview’s team is made up of world-class data scientists and big data software engineers who are pushing the limits of what’s possible. Enview has developed advanced geospatial AI algorithms that can automatically identify natural and man-made features in nation-scale geospatial data. These AI algorithms use a cascaded series of techniques, including deep learning, neural networks, and physics-based modeling.
Traditional computer vision/image processing algorithms are fundamentally incapable of operating on 3D point clouds. Enview has developed AI algorithms from the ground up that work specifically for 3D geospatial data. This enables automatic and accurate identification of features in unstructured 3D point clouds.
Enview’s AI Engine employs a cascade of advanced analytics to enhance exploitation of imagery and 3D point clouds. These methods include deep learning (e.g., CNNs, RNNs), classical machine learning (e.g., SVMs, Bayes nets, random forests), heuristic algorithms, and physics-based modeling.
The Enview AI Engine is powered by a proprietary, containerized software engine that can dynamically scale up to tens of thousands of CPU/GPU cores to process large areas in hours, or scale down to austere compute environments for forward deployment.
Enview’s products are deployed on tens of thousands of miles of energy infrastructure and in support of critical government missions. Enview protects more than $10Bn in energy assets. Here’s how Fortune 500 companies and the U.S. Government are using Enview to detect potential threats.
Energy companies, geospatial firms, and government agencies collect a variety of disparate geospatial data. But more data is operationally useless if you can’t make sense of it. The Enview AI Engine ingests and fuses geospatial data from disparate sources.
Data then runs through Enview’s proprietary geospatial artificial intelligence Engine which creates a 3D model of the physical world.
Using AI custom-built for 3D mapping, the Enview Engine automatically extracts targeted insights from large areas and presents them for boots-on-ground actioning.
