LGND aims to revolutionize the analysis of Earth's data by providing vector embeddings of geographic information, making it easier to interpret spatial data and find relationships between different points on Earth.
The startup recently raised a $9 million seed round led by Javelin Venture Partners and plans to make analyzing spatial data more efficient, potentially disrupting a market valued near $400 billion.
LGND's enterprise app and API are designed to assist companies in answering spatial data-related questions, such as identifying fire breaks or finding suitable rental locations with specific criteria.
By leveraging neural networks and geographic embeddings, LGND aims to make geospatial data querying more accessible, efficient, and transformative, akin to becoming the 'Standard Oil' for geospatial data.