Build Spatial AI Applications with Felt AI: SQL, Custom Apps & Interactive Maps | Felt @feltmaps
Build Spatial AI Applications with Felt AI: SQL, Custom Apps & Interactive Maps | Felt  @feltmaps
Uploaded March 2026 | Updated September 2026, 3 minutes ago
Spatial AI is transforming how teams build location-based applications. Felt AI acts as your built-in spatial engineering team, translating natural language into spatial SQL, generating custom map extensions, and shipping production-ready applications against your live warehouse data. In this video, you'll see the full build: from prompt to deployed spatial app.

What you'll learn:
How spatial AI translates natural language into SQL to unlock geospatial data insights instantly
How to run advanced spatial analysis on PostGIS, Snowflake, Databricks, and BigQuery without writing code
How Felt AI generates HTML, CSS, and JavaScript to build custom map extensions and styled popups from a prompt.
How to build interactive mapping experiences with custom styling, charts, and brand customization
How to go from idea to production-ready spatial application in minutes using Felt's JavaScript SDK

๐Ÿ“ Chapters:
0:00 Introduction
0:09 Meet Felt AI
0:35 Spatial Queries & Data Access
0:56 Interactive Map Design
1:22 Application Development
1:46 Final Result

Learn more about Felt AI and what it can do for your team! felt.com/demo
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Some more resources:
Help Center: felt.com/help
Map Gallery: felt.com/gallery
Reddit: reddit.com/r/felt
LinkedIn: linkedin.com/company/feltmaps
Twitter: twitter.com/felt
"Add To Felt" QGIS Plugin: plugins.qgis.org/plugins/felt
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Build Spatial AI Applications with Felt AI: SQL, Custom Apps & Interactive Maps | Felt

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