We built a privacy-first AI data analyst for PostgreSQL — looking for beta testers

[u/Quenzite]

Most text-to-SQL tools have the same problem. To use them, you either replicate your data somewhere or send your schema and query results to a third-party LLM API. For a lot of teams (finance, healthcare, anything with compliance requirements), that's a non-starter.

So we built Quenzite, and we’re looking for beta testers.

What is Quenzite 

Quenzite is your own virtual Data Analyst platform that helps you deliver quick real-time analytics without circling back to your analysts for actionable results on the go.

 

What it does

1. Ask questions in plain English. Non-technical people type something like "which customers had declining orders quarter over quarter?" Quenzite writes the multi-join PostgreSQL query, runs it (on your machine), and streams back the result set plus a plain-English explanation.

2. Build dashboards by prompting. Describe the dashboard you want ("sales overview by region with monthly trends and top products") and it builds one from your data. After that you can keep adding widgets two ways: write your own SQL, or just describe the widget in English. Analysts can drop into SQL when they want control, and everyone else can stay in plain language.

How it's different

• Zero data ingestion: it queries your live Postgres at runtime. Nothing is copied or synced.
• Read-only: SELECT-only privileges, so it can't mutate or drop anything.
• No third-party LLM calls: it runs its own LLM on dedicated infrastructure. Your prompts, schema, and results never go to OpenAI, Anthropic, etc.
• Ask instead of guessing: if a question is ambiguous ("revenue" could mean three different things in your schema), it asks for clarification instead of quietly picking one.

Where it's at
Current scope is descriptive analytics (what happened, and why the numbers look the way they do at the data level), plus the dashboard builder. Root-cause analysis and forecasting are on the roadmap, but I'm not claiming them yet.

Who we are looking for

• Teams running PostgreSQL with a reasonably normalized, multi-table schema
• People who regularly field "can you pull this number?" requests from non-technical colleagues
• Anyone whose security or compliance constraints rule out typical BI and AI tools
• We are currently looking for about 4-5 people / teams for our first phase of testing

What you get: free access during beta and direct influence on the roadmap

What I need from you: honest feedback on:

• where the generated SQL is wrong
• whether the clarification prompts help or annoy
• whether the auto-generated dashboards are actually useful or need too much rework
• Overall user experience of the product
• How it can help you in your day to day life and what value add it brings.

If you're interested, comment or DM us with your use case and we'll get you set up. Happy to answer technical questions in the comments too, including the hard ones about accuracy and edge cases.

Note:- As a fully bootstrapped startup with a small team, we’re mindful of our GPU resources and strive to use them as efficiently and responsibly as possible.