A LinkedIn post from Felt highlights the company’s focus on simplifying raster data workflows for GIS teams using major cloud providers such as Amazon S3, Google Cloud, and Microsoft Azure. The post describes how traditional approaches require significant effort in indexing archives, building metadata catalogs, configuring tile servers, and maintaining custom scripts.
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According to the post, Felt’s raster infrastructure is positioned to reduce this operational burden by connecting directly to cloud storage and transforming data into a searchable, filterable spatial catalog. The content also notes integration with existing STAC catalogs, aiming to unify data discovery and visualization into a single workflow.
The post further suggests that users can stream Cloud Optimized GeoTIFFs (COGs) directly into maps without downloading or duplicating data, apply dynamic styling and raster analyses such as NDVI, NDWI, and NDMI, and enable sharing and collaboration without managing underlying infrastructure. Felt indicates that some teams have reportedly eliminated up to a year of custom development and maintenance by adopting its raster workflows.
For investors, this emphasis on infrastructure abstraction and integration with common geospatial standards may signal an attempt to deepen Felt’s value proposition for data-heavy GIS organizations and enterprises. If the platform can reliably reduce engineering overhead at scale, Felt could strengthen its competitive position in cloud-native geospatial tooling and potentially drive higher recurring revenue through increased adoption by large teams.