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Quills AI turns a plain-English question into an SQL query and a chart automatically.
Grounded in available product and source data
Writing SQL for every ad-hoc question isn't realistic for most teams, which usually means waiting on whoever does know SQL — Quills AI lets a team chat with your data and get instant SQL queries instead, translating a plain-English question directly into a working query.
Getting data in is meant to be low-friction: connect a database directly, upload files including Excel, CSV, PDF, DOCX, or DOC, or create a collection spanning several sources, after which a question can be asked in plain language without knowing the underlying schema. For anyone who does know SQL, a direct SQL mode skips the translation step entirely and runs typed queries straight from the chat.
Output isn't limited to a text answer — interactive visualizations render results as a table, chart, or single value depending on what best fits the question, and both graphs and data previews can be downloaded or exported to Excel or CSV for further analysis outside the tool. A chatbot built on the same engine can be embedded into Slack or a company's own website, with UI customization covering logo, color scheme, and bot messaging so it matches an existing brand rather than looking like an unstyled widget.
The site organizes its use cases across specific industries — including life sciences, BFSI, and retail — and specific roles from analyst to venture capitalist, and states a 63% efficiency boost for data-driven decisions. The page reviewed does not specify what data sources beyond the named databases and file types are supported, worth checking directly for a less common data source.
No — natural language interaction is built specifically so a question can be asked in plain English, with Quills AI generating the underlying SQL query automatically.
Yes — a direct SQL mode is available for SQL-savvy users who'd rather type a query straight into the chat and get instant results without going through conversational translation first.
No migration needed — a file can be uploaded directly in formats including Excel, CSV, PDF, DOCX, or DOC, or several sources can be grouped into a collection without moving anything into a database first.
It's built for both — the embeddable chatbot supports client engagement and self-service data access on a company's own website, not only internal team dashboards.
