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37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
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A cloud-native GIS platform for everyone in your organization

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LEADING A MODERN GIS MOVEMENT




VISUALIZE ANY FILE WITH UPLOAD ANYTHING

Drag and drop any file, any format. No data wrangling required. Behind the
scenes, Felt geocodes street addresses, geomatches boundaries, and parses
geometry columns. All visualized instantly with a data processing engine that
feels like magic.




SEAMLESSLY INTEGRATE EVERY DATABASE

Connect Postgres, Snowflake, or other cloud sources. Data stays up-to-date and
teams always work from your source of truth.

Postgres

Snowflake

BigQuery

Databricks

Redshift

S3

ESRI

STAC


EMPOWER YOUR TEAM WITH DASHBOARDS

Visualize and chart data across a time series, filter categories on-the-fly,
build histograms, highlight statistics, and more. Experience fewer development
bottlenecks and instant operational insights. How BI should be for geospatial.




EXPERIENCE A MODERN GIS STACK

Felt is a cloud-native, fully extendable platform that connects with tools in
your geospatial workflow. Using our Python SDK and QGIS plug-in, build
feature-rich geospatial apps with your data in no time.





SPATIAL SUPERPOWERS, MADE SURPRISINGLY EASY

Powerful transformations let you highlight spatial patterns and relationships in
your data. Let Felt handle tedious styling with strong cartographic defaults
that transform your data into detailed visualizations.




GEOCODING

Add a spreadsheet with addresses, Felt maps them to locations.


DATA EXPORTS

Get a GeoJSON, GeoPackage, or GeoTIFF of your data for your workflows.


IMAGE EXPORTS

High quality exports for printing and presentations.


PERMISSION CONTROL

Fine tune who can access your team's maps and data.


AUTOMATIC LEGENDS

Felt creates a beautiful, interactive legend for any data you add.


DATA TABLE

View your data as you work with it on the map.


GREAT DEFAULTS

Start with a map that looks beautiful right away, then customize.


GUEST & PUBLIC COMMENT

Gather feedback from teammates, guests from other organizations, or the public.


ZERO CLICK SHARING WITH CLIENTS, CUSTOMERS, AND INTERNAL STAKEHOLDERS

Bring spatial collaboration to life. Share maps with project stakeholders,
fine-tune permissions, and embed on a website. Work together from the same
canvas and make decisions faster.




YOU OWN YOUR DATA, WE KEEP IT SECURE

BEST-IN-CLASS PROTECTION

All Felt web traffic is encrypted via TLS, user credentials are stored with
encryption at rest, all data is stored in the U.S., and we monitor DDoS activity
and uptime 24/7.

More on security here →



ENTERPRISE ACCESS LEVELS

At Felt, your data stays yours. Every map has clear permission controls–choose
who sees maps and when. Enforce SSO as another layer of access management.

Learn more →


SOC 2 COMPLIANCE

SOC 2 is the gold standard for security practices. Felt has obtained SOC 2 Type
1 compliance and is under observation for Type 2.

Learn more →



See how people around the world are mapping with Felt

Santa Barbara County Road Closures

This interactive map, created by the Public Works department at Santa Barbara
County, displays real-time road closure updates during emergency situations. It
relays critical information to first responders and the public, 24 hours a day,
via an embedded map on their website.
Woodlands and Wildlife Impact in D.C.

A detailed map of individual tress organized by height (points), and tree
density (heat map) in Washington D.C. showcasing how wooded areas provide
critical corridors for wildlife to enter Northeast D.C. from surrounding river
systems.
Understanding the Musi River

In a workshop hosted by The Deccan Archives Foundation, in collaboration with
INTACH Hyderabad and ASEEM, collaborators mapped the historic core of the river
Musi through on site visits, and sessions on history and ecology of the river by
experts.
Oceania Satellite Terrain & Bathmetric Mapping

Terrabotics, working for Jacobs Engineering New Zealand, rapidly and accurately
surveyed the land topography and shallow water bathymetry around the South
Tarawa and Temaiku island atoll, part of the Kiribati Pacific Island nation.
Kiribati is threatened by sea level changes, and this project served to help
planning for climate resilience programmes on the island. The results were
presented to the UN and at COP23.
Watershed Pollution Map

WATERSHED is an investigate journalism outfit operating out of the UK that has
made extensive efforts to shine a light on watershed pollution through
evidence-based reporting. Their latest project ties together various sources of
geospatial data with Felt to provide a clear and alarming picture on the extent
of pollution in the waters close to home.
Baltimore City Land Use Map

The City of Baltimore released its first Comprehensive Plan since 2006 to guide
policies, programs, and land use changes, for the next decade. As part of the
initiative, the city built a land use proposal map in Felt to gather feedback
from the public – from residents, to city agents, to the real estate community.
Customer Spotlight
"My favorite maps have always been the ones made in the moment, either out of
necessity or on a whim."
— Tim wallace, senior editor of geography, new york times
"My favorite maps have always been the ones made in the moment, either out of
necessity or on a whim."
— Tim wallace, senior editor of geography, new york times
Start creating maps, apps, and dashboards today.
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37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived
37° 48' 15.7068'' N, 122° 16' 15.9996'' W

cloud-native gis has arrived