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
Introducing Felt AI, your in-house spatial engineer Learn more
Maps
Product
Unlocking SQL at scale: Felt's AI-native GIS adds conversational querying
Your built-in data engineer is here - turning questions into SQL and unlocking spatial insights from cloud databases instantly.
Your built-in data engineer is here - turning questions into SQL and unlocking spatial insights from cloud databases instantly.

Since launching Felt AI, we've been assembling your spatial dream team of built-in engineers. First came your developer, turning ideas into purpose-built apps. Next, your designer, creating beautiful interactive popups from simple prompts. These new team members have already dramatically reduced the timeline for building and shipping mapping apps.

Today, meet the newest member of your team: your built-in data engineer who translates natural language into SQL, transforming how teams interact with spatial databases.

Book a demo

Why Felt AI for SQL is so powerful

For the past decade, learning SQL was key to being able to move fast with spatial data, allowing data analysts to run complex queries and extract meaningful insights from massive geospatial databases. But vast amounts of spatial data still sit locked away in PostGIS, Databricks, Snowflake, and BigQuery - accessible only to SQL experts.

Felt AI changes that. Now anyone can unlock spatial insights from cloud storage investments without writing a single line of code or waiting for assistance.

Here's what your on-demand data engineer unlocks.

The power of SQL without the syntax

Teams that once relied on SQL experts can now run advanced spatial analysis instantly, moving from question to decision at the speed of conversation. Just describe your analysis and Felt AI writes the complex SQL and optimizes queries for performance, delivering a live map layer that updates with your data.

Ask "Find vacant parcels half mile from schools and transit" — Felt AI handles complex table joins and spatial functions, then delivers a layer that refreshes as your data updates.

Speaks any database dialect fluently

Advanced spatial operations that once required database-specific expertise now happen automatically. Whether your data lives in PostGIS, Snowflake, BigQuery, Microsoft SQL Server, Databricks, or Redshift, Felt AI writes the correct SQL dialect for each platform.

Felt AI automatically writes the correct SQL dialect for any cloud database.

No wrestling with schemas and cryptic column names

Instead of spending hours exploring database schemas or decoding cryptic column names, just ask your built-in data engineer to explain what attributes you have, how your tables relate, and what spatial analysis you can run with your specific datasets and use case.

Ask "What attributes are in power plants" — Felt AI finds the table, explains attributes, and suggests relevant spatial analyses.

Automatic dissemination of knowledge

Every query created by your team gets saved in a shared library where it becomes a building block for others – no one needs to start from scratch. Spot a useful analysis from a colleague? Ask Felt AI to modify it for your specific needs and create a new layer in seconds.

Ask Felt AI to update a teammate's query — keeping methods consistent and insights visible to everyone.

See the logic, trust the results

Felt AI shows you exactly how it interprets your questions and constructs each query, so you can verify results and understand the logic. Database experts can review, modify, or reuse these queries in existing workflows or as foundations for more advanced analysis.

AI-Native GIS is here, try it today

With your developer, designer, and now data engineer working together, your spatial dream team keeps growing. Technical barriers continue to disappear so you can move faster and make smarter decisions with your spatial data.

Ready for your data engineer to turn questions into insights? Book a demo today to start building with Felt AI.

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