Quadratic is an AI-powered spreadsheet application designed for data analysts, business intelligence teams, and decision-makers who need to extract actionable insights from their data without complex coding. By seamlessly connecting directly to various data sources, the platform enables users to perform advanced analysis using natural language. Instead of writing intricate formulas or SQL queries manually, users can simply ask questions about their datasets to generate clear, explainable, and visually organized results. The spreadsheet interface remains familiar, making it accessible to those accustomed to traditional grid-based tools while supercharging their workflow with artificial intelligence. Beyond individual analysis, Quadratic facilitates collaboration by allowing teams to easily share their findings and interactive sheets. This tool effectively bridges the gap between raw database information and comprehensible business intelligence, streamlining the process of data exploration and reporting.
Problem: Finance teams spend hours manually exporting CSV files from QuickBooks and updating static spreadsheets to build recurring financial reports.
Solution: Quadratic connects directly to live QuickBooks data, allowing users to pull profit and loss statements, balance sheets, and invoices directly into the spreadsheet and refresh them instantly.
Example: A financial controller builds a dynamic cash flow dashboard that automatically pulls the latest invoice data without requiring manual file exports.
Problem: Data analysts struggle to combine live database tables with offline Excel files and PDFs without writing complex SQL joins or VLOOKUP formulas.
Solution: The platform enables users to connect live databases, Excel files, and PDFs in one workspace, allowing them to merge and clean datasets using Python, SQL, or formulas.
Example: An analyst combines customer records from a PostgreSQL database with marketing spend from a local CSV file, using Python to calculate customer acquisition costs.
Problem: Business managers need to query large database tables but do not know how to write SQL or Python code to extract insights.
Solution: Users can ask questions in plain English, and the built-in AI automatically generates the underlying Python, SQL, or formulas to execute the analysis, providing clear explanations of the generated code.
Example: A product manager asks "which product segments grew fastest last quarter?" and the spreadsheet writes and executes a Python script to group, calculate, and visualize the trend.
Target audience: Best for: Data Analysts, Financial Controllers, Business Intelligence Teams, Product Managers
Pricing: Paid · Categories: Productivity, Spreadsheets, SQL
Tags: AI, productivity, Reporting, spreadsheet, SQL
Quadratic functions as a hybrid spreadsheet that integrates standard grid calculations with native SQL and Python execution. Users can connect live databases, files, and third-party accounting or banking platforms like QuickBooks and Plaid. It translates natural language prompts into executable code cells, performs multi-source data transformations, and provides an API alongside Model Context Protocol support for programmatic cell interactions.
The platform is built for data analysts, financial controllers, business intelligence teams, and product managers. It suits individuals and teams who need to inspect, merge, and visualize datasets from disparate sources such as SQL databases, CSV files, and financial software without manually exporting records or relying solely on manual formula entry.
Quadratic allows users to prompt the application in plain English to interrogate their data. The AI generates the required Python, SQL, or spreadsheet formulas directly inside editable cells. The generated code is explainable, enabling users to review the underlying logic, adjust parameters, and execute the analysis transparently rather than relying on unverified black-box outputs.
Users can connect directly to live databases to pull structured tables into their workspace. Quadratic also features direct integrations with accounting and financial platforms such as QuickBooks and Plaid. In addition, users can import local files, including Excel spreadsheets, CSVs, and PDFs, allowing them to join live and offline records within a single sheet.
Quadratic is offered under a paid pricing model. It provides commercial access to its AI-driven spreadsheet interface, native database connectors, and code execution environment. Detailed information on specific plan tiers, team licensing, and feature limits can be obtained directly from the official Quadratic website at quadratichq.com.