Felt

Felt operates a cloud-native geographic information systems (GIS) platform that lets organizations upload, visualize, analyze, and share spatial data through a browser. The product accepts files in arbitrary formats via drag-and-drop ("Upload Anything"), automatically geocoding street addresses, geomatching boundaries, and parsing geometry columns before rendering the result on a map. Users can style layers with cartographic defaults, generate interactive legends, view underlying attribute tables, apply spatial transformations, and export data as GeoJSON, GeoPackage, or GeoTIFF, or as high-resolution images for print and presentations [0][1].

Beyond map making, Felt offers dashboarding and business-intelligence-style analytics for geospatial data, including time-series charting, on-the-fly category filters, histograms, and summary statistics. The platform connects to external data systems such as Postgres, Snowflake, BigQuery, Databricks, MS SQL, Amazon S3, Google Cloud, Microsoft Azure, ESRI, and open standards including STAC, WFS, and WMTS, so maps stay synchronized with a customer's source of truth. Extensibility is provided through a Python SDK and a QGIS plug-in, and a mobile Field App for iOS and Android was introduced in November 2025 [0][1].

Collaboration and enterprise controls are core parts of the offering: map-level permission settings, guest and public commenting, embedding on external websites, and single sign-on enforcement. Felt states that web traffic is encrypted via TLS, user credentials are encrypted at rest, all data is stored in the United States, and DDoS activity and uptime are monitored continuously; the company also cites SOC 2 Type 2 compliance [0][1]. An AI layer, Felt AI, allows users to generate maps and build spatial applications from natural-language prompts, and an MCP server exposes Felt's GIS capabilities to AI agents [0][1][5].