Case Study: Leaf Agriculture unlocks faster cross-field analysis with Felt

Leaf Agriculture saves hours on every analysis with Felt

Leaf Agriculture, a company that builds an API to standardize agricultural data, faced significant challenges scaling their data visualization with traditional desktop GIS tools. These tools struggled with large datasets, causing crashes and requiring extensive scripting for data preparation. Collaboration was also difficult, limited to screen-sharing and static images. They turned to Felt to overcome these obstacles.

Felt provided a multiplayer spatial analysis solution that streamlined Leaf's workflow. By allowing direct drag-and-drop uploads of data files with embedded geo-data, Felt eliminated the need for scripting. The implementation saved hours of analysis time, reduced the workload from hours to minutes, and enabled product managers with self-service mapping capabilities. This efficiency allowed Leaf to avoid hiring a dedicated web-GIS engineer and refocus their backend team on core product development.

Leaf Agriculture