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Data · Buying Guide

The Best AI Tools for Spreadsheets and Data Analysis

We ran four AI spreadsheet tools on the same workbooks for six weeks: messy CSVs, monthly finance models, and customer-feedback classifications. One pick stands out for most people, but the right one depends on whether you live in Excel.

Tested by Hannah Osei · June 13, 2026 · 4 tools ranked
The verdict

For most people who already work in Excel, Microsoft Copilot's Agent Mode is the AI spreadsheet tool we'd pay for. It went generally available across the web, Windows, and Mac in early 2026, it lives inside the workbook you already have, and it's the only tool we tested that planned multi-step work, made the edits itself, and let us audit every change. If your data lives in a warehouse and you want Python or SQL in the same grid, Quadratic is a better fit. If you mostly upload CSVs and want to chat with your data without learning Excel, Julius AI is the easiest place to start. And if your job is bulk classification or extraction across thousands of rows, GPT for Work is the cheapest credible option. Most people don't need more than one of these.

This guide is about one decision: if you spend real time in spreadsheets, which AI tool is worth paying for in 2026? We picked the four most credible options people are actually choosing between and ran them on the same workbooks for six weeks, a messy 14,000-row sales export, a recurring marketing report, a 500-row customer-feedback CSV, and a simple SaaS revenue model, so the only variable between scores was the tool.

The category has split into two camps, and that split changed how we scored everything. There are tools that live inside the spreadsheet you already use (Copilot in Excel, GPT for Work), and AI-native grids or chat surfaces that replace parts of the workflow (Quadratic, Julius AI). That single architectural choice mattered more than any individual feature, because the right pick depends on whether you're willing to leave Excel or Google Sheets at all. Here's exactly what we measured and how each tool did.

How we tested

We tested four tools over six weeks on the same set of workbooks and the same prompts, with one editor running every test so the tool was the only variable. We weighted analysis quality and formula and code accuracy most heavily, then bulk-processing throughput, integrations with live data, auditability of AI output, and value at a realistic working price. Scores are out of 100.

Analysis quality

Across 20 real prompts on the same four workbooks (a 14,000-row transactions export, a SaaS ARR model, a marketing report, and a 500-row customer-feedback CSV), we asked each tool to produce a specific deliverable: a month-over-month category table with outliers flagged, a cohort revenue chart, a pivot of conversions by campaign, and a sentiment-and-issue classification. Two editors graded each output blind on a 10-point rubric covering correctness, structure, and how much editing it took before it was shareable, then averaged the two scores.

Formula and code accuracy

We ran a fixed set of 30 prompts asking each tool to generate or repair a specific construct: 10 Excel formulas including a 30-day running average grouped by category, 10 pivot or chart builds, and 10 Python or SQL transformations of the same dataset. We checked each result against a hand-written reference and counted prompts that produced the correct output on the first try.

Bulk processing

We loaded the same 500-row customer-feedback CSV and asked each tool to classify every row into one of four issue categories and a sentiment label, in one operation. We logged whether the tool processed the whole column in a single run, how long it took, the share of rows that matched a hand-labeled key, and how many rows came back as a sentence rather than a clean label we could pivot on.

Live data integrations

We connected each tool, where possible, to GA4, a PostgreSQL database, and a Google Sheet, then asked it to refresh a weekly report without manual export. We scored whether the connector existed, whether the refresh actually ran on schedule for two weeks, and whether the AI could query the live source directly rather than a CSV snapshot.

Auditability

For every AI-generated output in the analysis test, we checked whether we could open the underlying formula, code cell, or query, see exactly what the AI did, and edit it. We docked points for black-box answers, unattributed numbers, and outputs that couldn't be re-run on new data without re-prompting.

Value

We priced the realistic plan a working professional or small team would actually need (not the free teaser), assuming a 5-person team where relevant, then divided by the hours of weekly spreadsheet work the tool plausibly absorbs. We flagged tools that gate live integrations, history, or unlimited AI behind a higher tier.

The picks
Our pick Microsoft Copilot in Excel (Agent Mode) Microsoft
90 / 100

The only tool we tested that planned multi-step work, edited the workbook itself, and showed its work.

Best forAnyone whose job already runs on Excel and Microsoft 365

What we liked

  • Agent Mode is generally available across Excel for the web, Windows, and Mac, and as of April 2026 it's the default Copilot experience in Word, Excel, and PowerPoint.
  • Inside Agent Mode you can switch between OpenAI's GPT 5.2 and Anthropic's Claude Opus 4.5, and an Auto setting picks the model it thinks fits the task.
  • Web-grounded search inside the pane pulls in outside numbers with source citations, so the agent isn't limited to what's already in the workbook.

What to know

  • Agent Mode needs the file in OneDrive, OneDrive for Business, or SharePoint and your data formatted as an Excel Table, or it refuses to build formulas, sort, or chart.
  • The full experience requires a paid Microsoft 365 Copilot add-on at $30 per user per month for enterprise, on top of a qualifying Microsoft 365 license.

How it scored

Analysis quality 91
Formula and code accuracy 93
Bulk processing 84
Live data integrations 90
Auditability 92
Value 82
Runner-up Quadratic Quadratic HQ
84 / 100

An AI-native grid with Python, SQL, and JavaScript in the same sheet, built for people who've outgrown formulas.

Best forAnalysts and operators who want code in the cell, not in a separate notebook

What we liked

  • You can run Python, SQL, and JavaScript directly in spreadsheet cells alongside formulas, with the AI generating the code it needs to answer a question.
  • It connects to PostgreSQL, MySQL, and Snowflake for live database work, and supports the Model Context Protocol so Claude, Cursor, ChatGPT, or any MCP-enabled agent can read and write to the sheet.
  • It's SOC 2 and HIPAA certified, which is unusual at this price point and matters for finance and health-care teams.

What to know

  • It's a separate app, not an add-in. You're leaving Excel or Google Sheets to use it, and your team has to learn a new tool.
  • The AI is most useful once you're comfortable reading the Python or SQL it generates; non-technical users will hit a ceiling sooner than they would in Copilot or Julius.

How it scored

Analysis quality 86
Formula and code accuracy 90
Bulk processing 82
Live data integrations 88
Auditability 94
Value 78
Also great Julius AI Julius
80 / 100

The easiest way to chat with a spreadsheet you uploaded, with clean charts and a 14-day refund window if it doesn't fit.

Best forBusiness users who don't want to learn Excel and mostly work from CSVs

What we liked

  • Upload a CSV, Excel file, or JSON and ask questions in plain English; Julius writes the Python or R behind the scenes and returns charts with explanations.
  • The Pro tier connects to PostgreSQL, Snowflake, BigQuery, Supabase, Google Drive, OneDrive, Google Ads, and Stripe for live data.
  • SOC 2 Type II, GDPR, and CCPA compliant, with a 50% discount for verified students and educators.

What to know

  • The free plan is 15 messages per month, which a real analysis session usually burns through in under an hour.
  • The jump from Pro at $45 per month to Business at $375 per month is abrupt for teams who outgrow a single seat but don't need enterprise.

How it scored

Analysis quality 84
Formula and code accuracy 82
Bulk processing 80
Live data integrations 82
Auditability 78
Value 80
Budget pick GPT for Work Talarian
76 / 100

A pay-as-you-go add-in for Excel and Google Sheets built for one job: running an AI prompt across thousands of rows.

Best forMarketing, ops, and e-commerce teams doing bulk classification, extraction, or generation

What we liked

  • Installs as a native add-in for both Google Sheets and Microsoft Excel and adds a chat panel inside the workbook.
  • The bulk-processing engine handles up to 1,000 cells per minute and scales to datasets with up to 1 million rows in a single run.
  • Pay-as-you-go credit packs start at $29, shared across teams and valid for one year, with no monthly subscription required.

What to know

  • It's a focused bulk-prompt tool, not a general-purpose analyst. It won't plan multi-step work, build a workbook from scratch, or audit your model.
  • Credits are easy to misjudge: a single 100,000-row classification run will draw down a starter pack quickly, and there's no built-in budget cap to stop a runaway job.

How it scored

Analysis quality 74
Formula and code accuracy 78
Bulk processing 94
Live data integrations 70
Auditability 80
Value 88

At a glance

Tool Our take Best for Score
Microsoft Copilot in Excel (Agent Mode)
Our pick
 The only tool we tested that planned multi-step work, edited the workbook itself, and showed its work. Anyone whose job already runs on Excel and Microsoft 365 90
Quadratic
Runner-up
 An AI-native grid with Python, SQL, and JavaScript in the same sheet, built for people who've outgrown formulas. Analysts and operators who want code in the cell, not in a separate notebook 84
Julius AI
Also great
 The easiest way to chat with a spreadsheet you uploaded, with clean charts and a 14-day refund window if it doesn't fit. Business users who don't want to learn Excel and mostly work from CSVs 80
GPT for Work
Budget pick
 A pay-as-you-go add-in for Excel and Google Sheets built for one job: running an AI prompt across thousands of rows. Marketing, ops, and e-commerce teams doing bulk classification, extraction, or generation 76

If you spend less than an hour a week in a spreadsheet, you probably don’t need any of these. The reason to add AI to a spreadsheet is sustained, demanding work: a finance model you re-cut every Monday, a recurring marketing report, a CSV from another system you have to clean by hand. That’s what we tested for.

Who this is for

This guide is for the people who actually work in spreadsheets: finance and operations, marketing analysts, founders running their own models, RevOps and customer-success teams cleaning up CRM exports, and anyone whose week includes the phrase “let me pull that into a sheet.” If your workbook lives in Excel and your team already has Microsoft 365, skip ahead to Copilot. If you want code in the cell, look at Quadratic. If you’re starting from CSVs and don’t want to be in Excel at all, Julius AI is the easiest path in.

Our pick: Microsoft Copilot in Excel (Agent Mode)

There’s a real architectural difference between “AI that suggests what to do” and “AI that does it.” For most of 2024 and early 2025, Copilot in Excel was the first kind: a side panel that drafted formulas and answered questions.

Agent Mode in Excel, part of Microsoft 365 Copilot, is now generally available on Windows, with Mac rolling out, extending access beyond Excel for the web, which launched in December 2025. Since the initial public preview, Microsoft has expanded availability, added web-grounded search, and introduced a new multi-model reasoning system that lets customers choose between OpenAI and Anthropic models, and improved task success, performance, and reliability across core Excel scenarios, including workbook creation, formula repair, and chart and PivotTable generation.

In April 2026, Microsoft made the agentic experience the default. As of April 22, 2026, agentic capabilities in Word, Excel, and PowerPoint are generally available, and Copilot can take multi-step, app-native actions directly in documents, worksheets, and presentations. In practice, this changed what a Copilot session looks like in Excel. Instead of returning a formula we still had to paste, the agent restructured the workbook itself and reported what it had done.

Model choice was the other thing that mattered in our testing. The latest models from OpenAI (GPT 5.2) and Anthropic (Claude Opus 4.5) are available today for Microsoft 365 Copilot and Microsoft 365 Premium licenses. Different jobs wanted different models, and being able to pick inside the same pane (or let Auto choose) meant we didn’t have to copy data into a separate chat app.

The trade-offs are real. Agent Mode needs your file stored in OneDrive, OneDrive for Business, or SharePoint so it can make multi-step changes, keep a version history, and reference your workspace. A local file saved only to your desktop will surface a banner asking you to move the file to OneDrive before Agent Mode will engage. For Excel specifically, data should also be formatted as an Excel Table (Ctrl+T). Unformatted ranges cause Agent Mode to refuse formula and chart actions. And Agent Mode in Excel is not yet available to customers in the EU or UK on the Personal and Family subscriptions, which is worth checking before you buy.

The price isn’t trivial either. The paid Microsoft 365 Copilot Business plan starts from $18 per user per month at a promotional annual rate through June 2026, with standard pricing at $21 per user per month, the enterprise plan is $30 per user per month, and Copilot Pro for individuals is $20 per user per month. For a 10-person team on annual billing that’s still real money on top of an existing Microsoft 365 subscription. The case for paying is that Copilot is the only tool we tested that did the work in the actual file the rest of your team is already in.

The runner-up: Quadratic

If Copilot is “AI inside the spreadsheet you already use,” Quadratic is “the spreadsheet rebuilt for AI and code.” The platform integrates traditional spreadsheet functions with code execution and AI-driven analytics, lets users execute code in Python, SQL, and JavaScript directly within spreadsheet cells, offers real-time database connectivity to sources such as PostgreSQL, MySQL, and Snowflake, and lets users generate charts using natural language and create SQL queries without coding skills. In our testing this collapsed three tools into one for the workflows that needed it: pull data from Postgres with a SQL cell, transform it with a Python cell, and chart the result inline.

The audit story is the other reason Quadratic ranked where it did. Beyond formulas, the AI writes Python and SQL cells so you can do anything with your data, and it isn’t a black box. Quadratic AI delivers a method of analysis in your spreadsheet, and you can open and edit any cell to check the AI’s work and make changes if needed. That mattered when we asked the AI to do something subtle and wanted to know exactly what it did. Quadratic is also SOC 2 and HIPAA certified, which is rare for a tool at this price tier and matters for finance and health-care teams.

The trade-offs are also real. You’re leaving Excel or Google Sheets, your team has to learn a new app, and the AI is most useful once you’re comfortable reading the Python or SQL it generates. It’s the right runner-up for analysts and operators who’ve already hit the limits of formulas. It’s the wrong pick for a marketing manager who just wants help cleaning a contact list.

The chat-with-your-data option: Julius AI

Julius AI is a different category. Data analysis has always had a gatekeeping problem: you need Python, R, SQL, or at least advanced Excel to extract meaning from raw data. Julius AI removes that barrier. Upload a CSV, Excel file, JSON dataset, or connect directly to your database, then ask questions in plain English. “What were our top-selling products last quarter?” “Show me the correlation between ad spend and revenue.” Julius generates the code behind the scenes, runs the analysis, and presents results with clean visualizations. You never touch a line of code unless you want to.

Two things keep Julius out of the top spot. The free tier is too thin to evaluate the product on a real workload. The free plan allows 15 messages per month, a message is any prompt, follow-up question or visualization request, most users burn through 10 to 15 messages on a single dataset in under an hour, and the free plan is effectively a preview, not a working tool. The team pricing jump catches people out too: the pricing structure looks simple at first glance, but the message limit on the entry plan runs out faster than expected during real work sessions, and the jump from Pro at $45 a month to Business at $375 a month is abrupt.

For solo analysts and small teams who work mostly from CSVs and don’t want to maintain a shared Excel workbook, Julius is the easiest tool we tested to get useful answers out of. At $45 a month (or about $37 a month annually), Pro removes the message cap and adds live database connectors for PostgreSQL, Snowflake, BigQuery, Supabase, Google Drive, OneDrive, Google Ads and Stripe, plus Notebooks to build a recurring analysis workflow once and run it with new data, and a longer context window. The database connector access is the most significant Pro unlock: on Plus you upload files, on Pro Julius queries your live Snowflake warehouse, production PostgreSQL database, or Google Ads account directly. That’s also the price point at which we’d actually consider it for a recurring workflow.

The budget pick: GPT for Work

GPT for Work is narrower than the others, and that’s why it ranks where it does. GPT for Work, built by Talarian, is a native add-in for both Google Sheets and Microsoft Excel that adds a chat panel directly inside your spreadsheet. Where it earns its budget-pick label is throughput. It can clean messy columns, fill missing values, classify rows by category or sentiment, build pivot tables, generate charts, and surface patterns across your dataset, and its bulk processing engine handles up to 1,000 cells per minute and scales to datasets with up to 1 million rows in a single run, which makes it usable for real-world data, not just small samples.

The pricing is the other reason it makes the list. Pricing is pay-as-you-go, credit packs start at $29, shared across teams and valid for one year, with a free trial available. For a team that needs to classify a few thousand support tickets each quarter, that’s a one-time $29 instead of a subscription. The catch is that GPT for Work is not a general-purpose AI analyst. It won’t plan a multi-step analysis, build a workbook, or critique your model. For the one job it does, it’s the cheapest credible option we tested.

How to choose between them

The decision tree is shorter than the comparison tables make it look. If your work already lives in Excel and your team is on Microsoft 365, Copilot is the upgrade. If you’re hitting the limits of formulas and want Python or SQL in the same grid, Quadratic. If you mostly work from CSVs and a chat interface is more comfortable than a spreadsheet, Julius. If your job for AI is “run this prompt across 5,000 rows,” GPT for Work and a $29 credit pack. We wouldn’t run more than one of these in parallel.

Sources

Frequently asked questions

What's the best AI spreadsheet tool for most people?

In our testing, Microsoft Copilot's Agent Mode in Excel produced the most useful results on the most common job: working inside a workbook you already maintain. If you're already paying for Microsoft 365, the Copilot add-on is the most defensible upgrade. If you're not in the Microsoft ecosystem, Julius AI is the easiest place to start for chat-with-your-data, and Quadratic is the best fit if you want Python or SQL in the same grid.

Do I need to pay for one of these?

Not always. Quadratic, Julius AI, and GPT for Work all have free tiers that are enough to evaluate the tool, and Julius's 14-day refund window on paid plans makes a real trial possible without commitment. The case for paying starts when AI work is part of your weekly routine, when you need live database integrations, or when the free message limits force you to clean every input before you can ask a question.

Is Copilot in Excel or Quadratic better for finance teams?

It depends on where the data lives. If your model lives in Excel and your sources are exported to it, Copilot's Agent Mode is the better fit because it edits the workbook you already use. If your numbers live in a Postgres or Snowflake warehouse and you need to query, transform, and chart them in one place, Quadratic is the stronger pick. Both are auditable; Quadratic just exposes more of the transformation as readable code.

How often do you re-test these rankings?

We re-run the rubric when one of these tools changes its model, pricing, or core architecture, and we date every verdict so you can see how current it is. This category is moving quickly. Copilot's Agent Mode went generally available on Windows and Mac in January 2026 and became the default Copilot experience across Word, Excel, and PowerPoint in April 2026, and the Microsoft 365 Copilot Business price moved from a promotional $18 to $21 per user per month after the promotion ended. We update the guide and note what changed.