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Quadratic

Quadratic

The AI-native spreadsheet that handles 100 million rows, understands natural language, and connects to all your live data.

What is Quadratic?

Quadratic is an AI-native spreadsheet platform designed to replace traditional formula-heavy workflows with a conversational, code-friendly approach. Instead of needing to remember =VLOOKUP and other formulas, users can ask questions in simple natural language and let the AI generate the required formulas, Python, or SQL. Every AI-generated method lives inside editable cells, so the analysis is transparent, auditable, and easy to adjust.

SpecificationsAI-estimated

SecuritySOC 2 and HIPAA certified
Data importMulti-GB CSV and Parquet
AI interfaceNatural language questions, formulas optional
Core conceptAI-native spreadsheet
IntegrationsPlaid, QuickBooks, MCP (Model Context Protocol)
Row capacity100 million rows per sheet
Code languagesPython and SQL cells
Excel comparison100x the Excel row limit
AI explainabilityGenerates a method of analysis in the spreadsheet that can be opened and edited

Key Features of Quadratic

Natural-language AI: ask questions in plain English, with formulas optional
100 million row support in a single sheet, about 100x the Excel row limit
Python and SQL cells for advanced, code-native analysis
Live data connections to Plaid (12,000+ financial institutions) and QuickBooks
Multi-GB CSV and Parquet imports for big data workflows
MCP (Model Context Protocol) support so external AI agents and tools can integrate
Explainable AI: every AI-generated method appears in a cell and can be audited and edited
SOC 2 and HIPAA certified for enterprise-class security

Use Cases for Quadratic

1

Personal finance automation

Connect Plaid to pull balances, transactions, and cash flow from 12,000+ institutions, then build budgets and net-worth dashboards that refresh automatically.

2

Live QuickBooks reporting

Pull P&L, balance sheet, and invoice data straight from QuickBooks for up-to-the-minute financial reporting without CSV exports.

3

Big data exploration

Sort, filter, and analyze datasets too large for Excel or Google Sheets, with fast performance at 100 million rows.

4

Data quality and cleaning

Use AI to find missing or inconsistent values in huge tables, completing data-cleaning work in minutes instead of hours.

5

Investment and macro analysis

Pull real-time data through APIs and natural-language AI to support investment and macro analysis decisions.

6

Rapid spreadsheet creation

Ask questions in plain English and let AI generate the right formula, Python, or SQL, making spreadsheet building much faster.

7

Collaborative team analysis

Use editable AI-generated methods and real-time data connections to provide auditable, verifiable analysis for teams.

How to use Quadratic?

1

Start a new workbook

Open Quadratic in your browser and create a new spreadsheet workbook to start your analysis.

2

Ask the AI in natural language

Type a question in plain English, such as "find missing values in this column," and let the AI generate the formula, Python, or SQL for you.

3

Connect or import your data

Connect live data sources like Plaid or QuickBooks, or import large CSV and Parquet files directly into the sheet.

4

Run advanced Python/SQL analysis

For advanced analysis, use Python and SQL cells, or have the AI write code for you to clean, transform, and analyze your data.

5

Review, edit, and collaborate

Open any AI-generated cell to review and edit the method, then collaborate with your team on the auditable, verifiable results.

Pros & Cons of Quadratic

Pros

  • Turns natural-language questions into verifiable spreadsheet methods
  • Handles massive datasets that break Excel or Google Sheets
  • Native Python and SQL support for power users
  • Live Plaid and QuickBooks integrations eliminate CSV exports
  • Enterprise-grade security with SOC 2 and HIPAA certifications

Cons

  • No offline or desktop experience is mentioned, as Quadratic is presented as a cloud-based web spreadsheet.
  • Pricing is not disclosed on the page, so budgeting may require contacting sales or evaluating paid plans separately.
  • Unlocking the full flexibility of Python and SQL cells can require some coding knowledge, despite the natural-language AI layer.
  • Out-of-the-box data integrations are primarily demonstrated for finance tools like Plaid and QuickBooks; broader connectivity depends on MCP.

Frequently Asked Questions

What is Quadratic?

Quadratic is an AI-powered spreadsheet platform that lets users analyze data using natural language, Python, and SQL, with support for very large datasets and live data connections.

Do I need to know spreadsheet formulas to use Quadratic?

No. You can ask questions in simple natural language, and the AI writes formulas, Python, or SQL for you. Formulas are completely optional.

How much data can Quadratic handle?

Quadratic supports up to 100 million rows in one sheet, which is about 100x the Excel row limit, and it can import multi-GB CSV and Parquet files.

Can I connect my bank and financial accounts to Quadratic?

Yes. Quadratic integrates with Plaid, giving you access to balances, transactions, and cash flow data from 12,000+ financial institutions.

Does Quadratic work with QuickBooks?

Yes. You can pull P&L, balance sheet, and invoice data directly from QuickBooks, refresh it anytime, and avoid manual CSV exports.

What is MCP in Quadratic?

MCP stands for Model Context Protocol, an open standard that Quadratic supports so any AI agent or external tool can connect to your spreadsheet.

Can I verify or trust the AI-generated results?

Quadratic is not a black box. The AI generates a method of analysis directly in the spreadsheet, and you can open and edit any cell to check its work.

Is Quadratic secure for enterprise use?

Yes. Quadratic is SOC 2 and HIPAA certified, and additional security information is available in the Quadratic trust center.

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AI SpreadsheetData AnalysisBig DataNatural LanguagePythonSQL

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