Querri

querri.com ↗

AI data analyst that connects, cleans and analyzes data in plain English

SI Score
74/100
Pricing
Not confirmed
Free plan
Not confirmed
Sign-up required
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Homepage screenshot
Screenshot of the Querri homepage
SI REVIEWBased on the site's own pages, in a directory managed by people

What it does

Querri is a question-first data platform that connects and cleans business data into one library that learns how the business works. People ask questions in plain English and get answers, dashboards, decks, Excel workbooks or reports. It is built for teams in finance, marketing, operations and leadership.

Querri is an AI data analyst for business teams that want answers from their own data without writing SQL. The site says it cleans and connects your whole data stack into one library that learns the context of your business, so every answer uses the same numbers. You can ask in plain English and get a dashboard, deck, Excel workbook or report from a single conversation. Querri also works inside Claude, ChatGPT or Gemini through a built-in MCP, and there is a CLI for terminal use. Connectors listed on the homepage include Salesforce, HubSpot, NetSuite, QuickBooks and Snowflake. The homepage shows SOC 2, ISO 27001 and HIPAA badges. A free start is offered, but the pricing page text provided does not list plan prices or tiers, so the pricing model is unknown. The site also mentions white label and embed options for builders. Buyers should check which connectors and languages are actually available, how access is scoped per team, and what a paid plan costs.

Strengths
  • Ask questions in plain English instead of SQL
  • Connectors for Salesforce, HubSpot, NetSuite, QuickBooks and Snowflake
  • One shared library keeps answers on the same numbers
  • Works inside Claude, ChatGPT or Gemini through MCP
Watch out for
  • Pricing details are not shown in the provided pricing page text
  • Connector coverage may not fit every stack
  • Accuracy still depends on the quality of the source data
Best for
Finance and accounting teamsMarketing teamsRevenue operationsData and analytics teamsBusiness leaders Building dashboardsAnalyzing business data