Digital Maps through satellite imagery
Use of geospatial data is not new but the level of detail and scale that could be achieved was limited. Lately, the industry has seen the proliferation of high-resolution source data - 30 cm satellite imagery, 5 cm aerial and high-density LiDAR point clouds. For processing, there are cloud and DL-based feature extraction methods. On the demand side, new applications like autonomous vehicles have increased market appetite to absorb high-resolution data. This is where Attentive AI's flagship product MapX comes into the picture.
MapX is an online geospatial feature extraction platform. Users can upload imagery and other GIS files and request accurate feature extraction with a few clicks. In the backend, Attentive AI converts geospatial imagery into actionable intelligence and then shares it with the clients on MapX to help businesses, governments and non-profit organizations. During this process, we reduce the turnaround time and cost due to the use of AI and deep learning in the extraction process. This provides a way to negotiate the bottleneck of feature extraction for the players in the geospatial industry. Even though we provide the geodata in the shortest turnaround time, our cost is less than traditional extraction methods. Read more about digital maps on https://attentive.ai
MapX can also be used to monitor the status of the request submitted by the client in real-time. When a client requests meaningful insights from geospatial imagery data on MapX, a Feature Extraction Manager is assigned to each such request to help streamline the customer experience. The core of the product envelops a simple workflow allowing each user to select an address or an area of interest, followed by requesting the analytics they desire from a list of available analytical options or can even go for a custom request followed by near-instant delivery of output/insights. Our customers attest to the seamless geospatial data ecosystem that we are creating.
