Feyn AI Releases SQRL: A Text-to-SQL Model That Inspects Your Database Schema Before Writing Queries

Feyn AI has released SQRL, a text-to-SQL model family that takes a schema-first approach — it inspects the actual database structure before generating SQL, rather than relying purely on prompt-provided context. This is a meaningful architectural departure from standard text-to-SQL models, which frequently hallucinate column names or table relationships when schema context is incomplete or large. For developers building natural-language data interfaces, analytics copilots, or agent-driven data pipelines, SQRL's inspection step should meaningfully reduce the silent-failure rate that plagues text-to-SQL in production. The release as a model family suggests multiple size/accuracy tradeoffs are available, which matters for teams balancing latency and cost. This is worth evaluating immediately if you have any LLM-to-database layer in your stack.