Quadratic

What is Quadratic AI

Quadratic AI is a modern, browser-based spreadsheet that combines traditional formulas, native Python, and an integrated AI assistant in a single high-performance workspace. Built for analysts, data scientists, and developers, it enables rapid data exploration, database connections, and clear visualizations without switching tools. Real-time collaboration and cell-level computation support reproducible workflows, while AI helps generate code, explain results, and automate data cleaning. Quadratic streamlines analysis by unifying spreadsheets, code, and AI in a familiar grid interface.

Quadratic AI Main Features

• Native Python in cells: Run Python directly in the grid to analyze data, prototype models, and reuse existing code without leaving the spreadsheet.
• Spreadsheet formulas: Use familiar functions for quick calculations, lookups, and transformations alongside code-driven logic.
• Built-in AI assistant: Generate formulas, write Python snippets, explain outputs, and suggest cleaning or transformation steps.
• Real-time collaboration: Edit simultaneously, see live changes, and keep teams aligned in the browser.
• Database connections: Connect to data sources to query, join, and refresh datasets directly in the sheet.
• High-performance engine: Handle sizable data and computations efficiently with responsive cell execution.
• Visualization tools: Create charts and basic dashboards to communicate insights quickly.
• Reproducible workflows: Keep logic, code, and outputs together for transparent analysis and easy handoffs.

Who Should Use Quadratic AI

Quadratic AI suits analysts who need a faster, more flexible spreadsheet, data scientists who want lightweight Python-powered exploration, and developers who prefer coding in a grid with team-friendly collaboration. It also fits cross-functional teams building data prototypes, product analytics, finance and operations reporting, and lightweight dashboards without maintaining separate notebooks, BI tools, and spreadsheets.

How to Use Quadratic AI

1. Open Quadratic in your browser and create a new spreadsheet.
2. Import data from files or connect a database to pull live tables or queries.
3. Choose the cell mode: write formulas for quick math, or use Python for richer analysis and models.
4. Use the AI assistant to generate formulas or Python code, explain results, or propose cleaning steps.
5. Transform and join data, then create charts to visualize trends and outliers.
6. Collaborate in real time: invite teammates, co-edit, and review changes.
7. Share or export results, and refresh connected data as sources update.

Quadratic AI Industry Use Cases

Finance teams can build driver-based models and scenario analyses with live database inputs. E-commerce analysts can join order, product, and campaign data, then visualize funnel metrics in one sheet. Data science teams can prototype Python-based features or data prep steps before productionizing. Operations teams can track KPIs from multiple sources, apply AI-assisted data cleaning, and share lightweight dashboards with stakeholders.

Quadratic AI Pros and Cons

Quadratic AI FAQs

• How is Quadratic AI different from Excel or Google Sheets?

  It natively supports Python and integrates an AI assistant, enabling code-driven analysis alongside formulas, all within a collaborative browser spreadsheet.

• Can I use popular Python libraries?

  Quadratic supports Python in cells for data manipulation and analysis; library availability depends on the environment configuration for the workspace.

• What can the AI assistant do?

  It can propose formulas, write Python snippets, explain outputs, suggest cleaning steps, and help translate analysis goals into executable steps.

• Does it support real-time collaboration?

  Yes. Multiple users can edit the same spreadsheet concurrently and see live updates in the browser.

• Can I connect to databases?

  Yes. You can connect to data sources, run queries, and refresh data to keep analyses up to date.