Qwezy connects to your company data and lets anyone ask questions in plain English. It writes the SQL, runs the query, and returns the answer — with the result table and the SQL visible so your team can trust it.
What is an AI SQL assistant? An AI SQL assistant is a tool that converts plain-English business questions into SQL queries, executes them against your database or data source, and returns the results with a plain-English explanation — without requiring the user to know SQL, table names, or how the data is structured.
Qwezy is connected to your actual company data. It is not a chatbot guessing at your tables. Every query is grounded in the real structure of your database, Airtable base, CSV, or spreadsheet.
Qwezy connects to your PostgreSQL, Airtable, CSV, Google Sheets, Salesforce, or other data source. It reads your table and column structure. It never moves or copies your data unnecessarily.
You type your question in plain English. "Which invoices are over 60 days overdue?" "Which products had the highest return rate last month?" No SQL knowledge required.
Qwezy converts your question into an accurate SQL query based on your schema. It runs the query against your data and returns the results in a formatted table.
Every answer includes a plain-English explanation, a result table, and the SQL that produced it. Your analysts can review, edit, or override any query before it is saved.
Save any answer as a standing report, a live dashboard, or a scheduled alert. You never have to rebuild the same query from scratch again.
Qwezy has a two-role system: Admins govern schema, joins, business definitions, and active tables. Analysts can ask and view. Nobody bypasses the business logic your team has defined.
Qwezy is built for companies where business users currently answer data questions by exporting to Excel, building pivot tables manually, or waiting on a developer or analyst to pull a report. If you do not have a dedicated BI team, this is for you.
Billing, matter, AR, and attorney productivity reports are pulled manually from practice management software exports every billing cycle.
The same five questions are answered manually in Excel every week. The rebuild takes two hours. The questions never change.
Shopify analytics answers the fixed questions. Every follow-up — return rate by SKU, repeat customer rate by channel — requires a manual export.
Rent rolls, maintenance summaries, and collections reports are rebuilt from scratch every month from property management software exports.
Clients ask for one-off data questions constantly. Each one requires a manual query or dashboard rebuild. Self-service access without governance creates risk.
The data is in Airtable. Getting a custom answer requires exporting to CSV, opening Excel, and doing the work manually — every time.
Most AI tools that claim to write SQL either have no connection to your actual data, or they give you an answer you cannot verify. Qwezy is designed around trust and transparency.
Qwezy queries your actual database or synced data source. It is not working from a sample you pasted into a chat.
Every answer shows the SQL query that produced it. Your team can review, edit, copy, or override any query at any time.
Admins control which tables are active, which joins are valid, and what business definitions apply. The AI works within those bounds.
Every query result can become a standing report, a scheduled email, a dashboard, or an alert. It does not disappear when you close the tab.
An AI SQL assistant is a tool that converts plain-English business questions into SQL queries, runs them against your database or data source, and returns results with explanations — without requiring the user to know SQL syntax, table names, or how the data is structured.
Qwezy connects to your data source (PostgreSQL, Airtable, CSV, Google Sheets, Salesforce, and more), learns the structure of your tables and columns, and uses that context to convert plain-English questions into accurate SQL queries. Every answer includes the SQL used so your team can verify it.
No. The purpose of an AI SQL assistant is to remove the requirement for SQL knowledge. You ask the question in plain English — "which clients have unpaid invoices over 30 days?" — and the assistant writes and runs the SQL for you.
ChatGPT can write SQL when you describe your table structure, but it does not have access to your actual data, it cannot run the query, and it has no memory of your business definitions between sessions. Qwezy is connected to your live data, runs queries automatically, and retains context about your schema and business logic.
Yes, like any AI tool, Qwezy can occasionally misinterpret a question or generate an imperfect query. That is why every Qwezy answer includes the SQL behind it — so analysts and data owners can review, verify, and override any query before it is saved or shared.
Qwezy connects to PostgreSQL, Supabase, Neon, MySQL, Snowflake, SQL Server, Airtable, CSV files, Google Sheets, SharePoint, Smartsheet, Salesforce, Stripe, and QuickBooks.
Yes. Any answer Qwezy generates can be saved as a standing report, a live dashboard, or a scheduled alert. You can also copy the SQL directly to use in your own tools.
Qwezy connects to your existing data infrastructure without requiring you to upload data to a third party. Admins control which tables are exposed, which users have access, and what business logic governs each query. SQL is visible and auditable.
Qwezy is designed for 1–50 person teams that do not have a dedicated data analyst or BI team. It is built for companies where business users currently answer data questions manually in Excel, or where a single analyst is overwhelmed by repetitive report requests.
Most teams connect their first data source and run their first query within one hour. Qwezy includes a guided onboarding call and connects your first data source at no cost.
Show us one question your team currently answers manually. We connect your data source and demonstrate the answer in plain English — with the SQL behind it.
We connect your first data source for free · No credit card required