Overview

Quills AI is a generative business intelligence assistant. It lets you connect databases or upload files and then ask questions in plain English, getting answers, SQL queries, graphs and tables in return. It aims to make data analysis accessible to team members who don't write SQL.

Data sources

You can connect databases, upload files and organise them into collections. Supported file formats include Excel, CSV, PDF, DOCX and DOC. Collections help bring related sources together so questions can draw on all of them.

Chatting with data

You type a question, and Quills AI answers in natural language. An example on the site asks which mutual funds have the highest stock market holdings and returns a list of funds from the connected data. You can switch between chatting and generating SQL. The interface itself warns that Quills AI can make mistakes and that you should check important information.

SQL generation

For people who are not SQL experts, Quills translates conversational requests into SQL queries. A combined SQL and visual editor lets you view and refine queries, which also helps analysts move faster.

Results and sharing

Quills generates graphs and tables on the fly, and you can download results as Excel or CSV files. Beyond the web app, you can use it through in-app chat, Slack and chatbots, so teams can ask questions where they already work.

Claims

The company claims a 63% boost in efficiency for data-driven decisions; this is its own figure.

Pricing

You can get started from the site or book a demo. Pricing details were not published on the pages reviewed, so contact the company.

Who it suits

It suits business teams that want quick answers from company data without waiting for an analyst, and analysts who want help drafting SQL.

Things to consider

Use read-only database access with the minimum permissions needed. Check generated SQL and results against trusted reports before making decisions, as the tool itself advises. Uploading business data to a third party has privacy and security implications, so review data handling and where data is processed before connecting sensitive systems.

Because the same assistant can work over databases and uploaded documents, it can answer questions that combine structured tables with information from reports or spreadsheets.