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About

The new era of GIS is here

Felt is an AI-native GIS platform built for modern teams. Ask a spatial question in plain language, and get back a live map, dashboard, or app.

Connect the data you already have

Bring in data from wherever it lives, from Snowflake and Databricks to Esri services, and work from one source of truth. Analyze millions of features with spatial SQL, or ask Felt AI in plain language.

The Felt library, with layers drawn from connected EarthSpring Postgres and Databricks sources, beside a spatial SQL query joining street trees to park boundaries.
Connected sources, and spatial SQL against them
Felt’s spatial analysis panel running a Clip operation: buildings cut to a quarter-mile station buffer, output named Buildings near stations.
Clip: buildings within a quarter-mile of a station

Build and share in minutes

Build dashboards in minutes without code, and apps with Felt AI. Share them across the organization and work in real time with your team, stakeholders, and clients, with permissions that control exactly who sees what.

Felt dashboard components: category filters, a store-type donut chart, a cloud-cover range slider, a parcels-in-view counter reading 12,437,681, histograms, and a sales-by-region table.
Dashboard elements built from live layers
A solar site assessment map with parcels colored by the teammate who collected them, live cursors, and a comment thread discussing the distance to the nearest transmission line.
Field collection and siting review, in real time

Why we built Felt

Spatial data should be useful to everyone who makes decisions with it, not only to the specialists who can open it. We built Felt so geospatial teams, field and operations crews, and the stakeholders they answer to can all work from the same map.

Today, teams across agriculture, government, insurance, energy, and real estate run their spatial work on Felt, including Indigo Agriculture, Fastned, and the County of Santa Barbara.

The team behind Felt

Our founders, Sam Hashemi and Rachel Zack, met at Remix, where they helped cities build better transit systems. Sam brought experience designing interfaces for astronauts, scientists, and judges. Rachel brought a career shaping policy for public spaces and helping cities reimagine their mobility. Together, they share a love for maps and the power maps have to drive decisive action.

Our engineering team is behind some of the industry-standard tools that help turn your geospatial data into high-performance maps. Felt is built on MapLibre and Tippecanoe, alongside a QGIS integration, so data engineers and developers get a platform grounded in the open standards and tools the GIS community already trusts.

Our investors

Our distributed team has raised $35M from investors who share our vision, including Energize Capital, Footwork, Bain Capital, Moxxie, Designer Fund, Will Larson, Yves Behar, Guillermo Rauch, Julianna Lamb, Uma Chingunde, Scott Belsky, Allison Pickens, Akshay Kothari, Dylan Field, John Lilly, and many others.

Try Felt

Bring your data, see it on the map

Connect a database or drop in a file and see your data live on a map in minutes.