Personal
Free
- Limited AI usage
- Limited sharing, files, and connections
- Limited support
Overview
Quadratic functions as an AI-powered spreadsheet designed to streamline data analysis and insight generation. Users can connect various data sources, including CSVs, Excel files, PDFs, and live databases like Postgres, MySQL, Snowflake, and QuickBooks, consolidating all information into a single, dynamic environment. The platform leverages artificial intelligence to automate data analysis; users can pose questions in natural language, and the AI will generate appropriate formulas, Python or SQL code, and charts. This approach aims to replace manual tasks like VLOOKUP with more efficient, auditable, and verifiable code-based solutions.
Key Functionalities
- Data Integration: Connects to over 12,000 financial institutions via Plaid, and integrates with tools like Google Analytics and Mixpanel.
- Big Data Handling: Capable of managing and analyzing large datasets, supporting up to 100 million rows, which significantly exceeds the limits of traditional spreadsheets.
- AI Agent Compatibility: Supports the Model Context Protocol (MCP), allowing integration with external AI agents such as Claude, Cursor, and ChatGPT for enhanced automation and interaction within the spreadsheet.
- API Access: Provides a robust API for developers to embed Quadratic's spreadsheet intelligence into their own applications, pipelines, and workflows, enabling programmatic control over data, AI runs, and agent orchestration.
The tool is built to facilitate collaboration, allowing teams to work together on analyses and share results that are both clear and verifiable.
Key features
- Connects to any data with AI Agents
- AI generates formulas, code, and charts from plain English questions
- Shares repeatable code-based spreadsheets
- Connects to diverse data sources including databases and financial institutions
- Handles big data up to 100 million rows
- Integrates with external AI agents via Model Context Protocol (MCP)
- Offers a Quadratic API for custom integrations
- Provides auditable Python and SQL code insights
Who uses it
Individuals, small teams, and enterprises across finance, business intelligence, product management, sales, and marketing use Quadratic for data analysis.
Pros
- Connects to diverse data sources including CSVs, Excel, PDFs, and live databases.
- AI automates formula, code, and chart generation from natural language queries.
- Handles large datasets up to 100 million rows, exceeding traditional spreadsheet limits.
- Integrates with external AI agents like Claude and ChatGPT via Model Context Protocol (MCP).
- Provides auditable Python and SQL code insights, ensuring transparency.
- Offers an API for embedding spreadsheet intelligence into custom workflows and products.
- SOC 2 and HIPAA certified for enhanced security and compliance.
Cons
- Specific pricing plans and advanced feature tiers are not detailed on the website.
- Full utilization and verification of AI-generated code may require some familiarity with Python or SQL.
- Initial setup for complex database connections might require technical knowledge.
Our take
This tool offers a powerful combination of traditional spreadsheet functionality with advanced AI capabilities for data integration, analysis, and automation, making complex data tasks more accessible and efficient.
Pricing plans
Pro
$18
- $20 in AI credits / month
- Access to additional models
- Additional privacy controls
- Unlimited sharing, files, and connections
Business
$36
- $40 in AI credits / month
- Purchase additional AI credits on-demand
- Everything in Pro
Enterprise
Custom
- Custom AI usage
- Single Sign-On (SSO)
- Self-hosting option
- Dedicated support
Pricing details are provided for reference and may differ from the vendor's current plans.
Comments
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