Querypanel

AI-native embedded analytics for SaaS with tenant-safe SQL dashboards

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QueryPanel | Embedded Analytics for SaaS (AI Infrastructure)its own headline

8 contact fields stay closed. Everything it says about itself is open; how to reach it needs an account. Open them →

How it runs3

Headless SDK Generate SQL and charts from your backend. Render with your UI or ours—control stays in your stack.
API
Bring your own key
Bring your own key
Dashboard workspace React components for a full analytics workspace: dashboards, exploration, and saved views inside your app tree.
Kindweb

Where it puts itself1

Compare -> https://querypanel.io/compare
Comparison pagequerypanel.io/compare

What it offers as proof3

Blog -> https://querypanel.io/blog
Docs -> https://querypanel.io/docs
Start building Watch walkthrough
Instant signup

Who it says it is for3

Enterprise Custom Unlimited scale and dedicated infrastructure.
For enterprise
AI-powered embedded analytics for SaaS
Says it is forSaaS
…so PMs and founders stop renting roadmap to wiring databases, auth layers, and chart glue.
Made forPMs · founders

What it names3

We support OpenAI, Gemini, Anthropic, and even OpenRouter.
Integrates withAnthropic · Gemini · OpenAINamesAnthropic · Gemini · OpenAI
ClickHouse BigQuery MySQL
Integrates withBigQuery · ClickHouse · MySQLNamesBigQuery · ClickHouse · MySQL
Connect to existing databases—no wholesale migration required. PostgreSQL
Integrates withPostgreSQLNamesPostgreSQL

What it calls itself1

⚿ Value and quote open with an account.

Company name

How to reach it3

⚿ Value and quote open with an account.

Email

⚿ Value and quote open with an account.

LinkedIn
We generate SQL—you execute it where you already run queries.
Voice“we”

About

QueryPanel 2.0 is embedded analytics for multi-tenant SaaS, now with a Notion-like editor for building and managing dashboards (and an embeddable editor with an AI assistant for customers). What’s new: MCP for governed admin workflows in Cursor/Claude, bring-your-own OpenAI key, Supabase + BigQuery support, and granular training so you can apply dynamic rules at runtime (e.g. per-customer data retention). Ship tenant-safe NL→SQL charts inside your product, not a bolted-on BI tool.

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