Querri is a data management platform that utilizes AI and natural language processing to enable users to clean, combine, and analyze data without requiring coding skills. It transforms complex data tasks into simple conversational queries, allowing businesses to efficiently derive insights and automate data workflows.
Funding
$275K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often spend significant time manually extracting, cleaning, and integrating data from multiple sources before analysis, leading to delays and inconsistent insights across teams.
Solution
Querri offers an AI‑driven data platform that centralizes data connection, preprocessing, analysis, and visualization within a single collaborative workspace. The system uses agentic AI to automatically detect and resolve data quality issues, generate analytical workflows, and refresh dashboards without manual intervention. Users can query the platform in natural language, receiving ready-to-use visualizations and insights that are instantly shared with teammates. By unifying the data pipeline, Querri reduces the time from raw data to actionable insight, supporting coordinated decision‑making across the organization.
Target Audience
Querri is aimed at data‑focused teams in mid‑size to large enterprises, including analysts, product managers, and business intelligence professionals who need a shared, low‑code environment for rapid data analysis.
Features
- Unified connector library for ingesting data from databases, cloud storage, APIs, and spreadsheets
- AI‑powered data cleaning that identifies missing values, outliers, and schema mismatches and applies corrective transformations automatically
- Natural‑language query interface that generates charts, tables, and statistical summaries on demand
- Automated workflow orchestration that updates analyses and dashboards in real time as source data changes
- Collaborative workspace with shared notebooks, versioned dashboards, and comment threads for team review
- Role‑based access controls and audit logs to ensure data governance and security