LGND AI recently secured $9 million in a seed funding round. Javelin Venture Partners led this investment. The company develops a cloud platform designed to help artificial intelligence models analyze satellite images.
The LGND platform transforms satellite images into mathematical structures called embeddings. This process allows AI models to efficiently process the visual data. Customers can perform this task without writing any code. Additionally, a visual interface enables customization of image sources and coverage areas.
Advancing Geospatial AI Capabilities
After generating embeddings, the LGND geospatial AI platform refines datasets. Users can filter images based on criteria like infrared sensors or cloudy conditions. Moreover, the service enriches data by adding descriptive labels to objects within photos. This capability differentiates it from raw imagery providers like Planet Labs.
The platform includes a file management interface for organizing datasets. Users add metadata to embeddings, indicating processing readiness. Furthermore, they share data with colleagues via secure links. A monitoring tool tracks embedding access.
LGND stores user embeddings in a hosted vector database. The system features algorithms for sorting records and searching specific items. Thus, users interact with data through a web application visualizing satellite measurements. AI models access the company’s cloud platform via application programming interfaces.
For instance, an AI identifying data center sites could find power infrastructure information. It then studies retrieved images to assess upgrade needs. The geospatial AI platform supports diverse use cases. Municipalities track traffic congestion; similarly, agricultural firms forecast crop yields. This specialized focus contrasts with broader geospatial intelligence providers such as Maxar Technologies or Descartes Labs.
LGND will use the new capital to build features for AI agents processing geospatial data. This initiative includes adding support for Anthropic PBC’s MCP protocol. This technology facilitates AI agent access to external data systems. Consequently, this investment further strengthens the market for specialized AI startups.
