
Querri lets users clean, analyze, and visualize data through natural-language conversations, enabling code-free data preparation, exploration, and chart creation for business and analytics workflows.
Querri is an agentic data platform that lets users work with their data through natural language, without writing code. It is designed to handle the full workflow from data ingestion and cleaning to analysis and visualization, making data work accessible to both technical and non-technical teams. By turning conversational prompts into executable data operations, Querri helps organizations extract value from their data more quickly and consistently.
The platform connects to common data sources such as spreadsheets, databases, and business applications, then automatically profiles and structures the data for analysis. Users can ask questions in plain language to filter, join, aggregate, and transform datasets, with Querri generating transparent, reproducible steps behind the scenes. It supports the creation of charts, dashboards, and visual summaries that update as data changes, helping teams monitor key metrics without manual reporting. Built-in data cleaning and validation capabilities reduce inconsistencies and errors, while collaborative features allow teams to share queries, workflows, and insights.
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