Unlocking SQL at scale: Felt's AI-native GIS adds conversational querying
Blog post from Felt
Felt AI is revolutionizing how teams interact with spatial databases by introducing a built-in data engineer that translates natural language into SQL, enabling users to perform complex spatial analyses without needing to know SQL syntax. This innovation allows anyone to access and analyze vast geospatial data stored in platforms like PostGIS, Databricks, Snowflake, and BigQuery, which were previously accessible only to SQL experts. By automating the creation of SQL queries tailored to specific database dialects, Felt AI empowers users to quickly move from questions to insights, while also providing a shared library for query reuse and modification. This approach not only enhances collaboration but also ensures transparency and trust in data analysis by showing how queries are constructed, thus facilitating verification and adaptation by database experts. As part of a comprehensive "spatial dream team" alongside developers and designers, Felt AI's data engineer helps break down technical barriers, leading to faster and more informed decision-making with spatial data.
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