Announcing o11's backing from Y Combinator.
Akkio vs Simple ML vs o11: AI Data Analysis in Sheets
If you work with data in Google Sheets, you have probably asked yourself: can I run a prediction model without leaving this spreadsheet? The answer used to be no. Now, at least three tools claim you can — Akkio, Simple ML for Sheets, and o11 For Google Sheets. But they approach the problem from very different angles, and picking the wrong one means wasted setup time and results you cannot trust.
Akkio is a standalone no-code AI platform that connects to Sheets as a data source. Simple ML is Google’s own add-on that brings basic machine learning directly into the spreadsheet. And o11 sits inside Google Sheets as a native creation layer, understanding your workbook structure and connecting your analysis across Google Workspace.
This comparison is for teams who want AI-powered data analysis without switching tools or hiring a data scientist. We will look at what each product actually does well, where it falls short, and which use cases each one fits.
Akkio: No-Code ML Platform with Sheets Integration
Best For
Akkio shines when you need a dedicated predictive analytics workflow. You connect your Google Sheet as a data source, and Akkio pulls the data into its own environment for model training. It supports classification, regression, time-series forecasting, and text analysis. The model builder walks you through feature selection, training, and evaluation with clean visualizations. For teams that need to build and deploy ML models on a recurring basis, Akkio provides a solid no-code pipeline.
The Catch
Akkio is not a spreadsheet tool. It is a separate platform that happens to accept Sheets as an input. You leave Google Sheets, work in Akkio’s interface, and then export results back. That round-trip breaks your workflow if you are someone who lives in spreadsheets. Pricing scales with the number of predictions and data rows, which gets expensive quickly for large datasets. The free tier is restrictive, and the learning curve — while shorter than coding your own models — still requires understanding concepts like feature engineering, train/test splits, and model selection. If your team just wants a quick forecast column next to their existing data, Akkio is overkill.
Verdict
A legitimate ML platform for teams committed to building predictive workflows. But it pulls you out of your spreadsheet, and that matters.
Simple ML for Sheets: Google’s Built-In ML Add-On
Best For
Simple ML for Sheets is built by Google’s own AI team and installs as a free add-on. It brings AutoML directly into Google Sheets, letting you train classification and regression models without writing code. You select your data range, pick a target column, and it trains a model. It also includes features for data exploration, missing value detection, and correlation analysis. Because it is a Google product, it integrates cleanly with the Sheets UI and feels like a natural extension.
The Catch
“Simple” is the right word. Simple ML handles basic tabular ML tasks but does not support time-series forecasting, text classification, or multi-model comparison in any meaningful way. The models it trains are limited in complexity, and there is no way to fine-tune hyperparameters or deploy models outside of Sheets. Documentation is sparse, and the add-on has not received frequent updates. It works for educational purposes or quick data exploration, but production-grade predictions require more control than Simple ML offers. There is also no way to connect analysis results to other Workspace apps like Slides or Docs.
Verdict
A free, no-friction way to run basic ML in Sheets. Useful for exploration and learning, but not enough for serious analytical workflows.
o11 For Google Sheets: The Native Creation Layer
Key Advantage
o11 For Google Sheets takes a fundamentally different approach. Instead of bolting on a separate ML platform or a limited add-on, o11 operates as a native layer inside Google Sheets. It understands your workbook structure — the relationships between sheets, named ranges, formulas, and data types. When you ask o11 to analyze a dataset, it works with the context of your entire workbook rather than treating a data range as an isolated table.
Native Integration
Because o11 lives inside Google Sheets, there is no context switching. You highlight data, ask a question in natural language, and get results directly in your cells. Need a trend analysis column? It appears next to your data. Want to classify text entries across a column? o11 writes the output in-place. But the real differentiator is Workspace integration. o11 connects your Sheets analysis to Google Slides and Google Docs. A forecast you build in Sheets can flow directly into a presentation or a report without copy-pasting, reformatting, or re-explaining the methodology.
This matters because analysis rarely ends in the spreadsheet. The whole point of running a prediction is to communicate it to someone — a manager, a client, a board. o11 treats the spreadsheet as the starting point of a deliverable pipeline, not the endpoint.
Verdict
o11 is not trying to replace dedicated ML platforms. It is built for teams who need to analyze data and produce outputs — reports, decks, memos — without leaving Google Workspace. The native integration means less friction, fewer errors from manual transfers, and a faster path from insight to deliverable.
Comparison Table
| Feature | Akkio | Simple ML | o11 |
|---|---|---|---|
| Runs inside Google Sheets | No (separate platform) | Yes (add-on) | Yes (native layer) |
| Predictive modeling | Classification, regression, time-series | Classification, regression | AI-assisted analysis and forecasting |
| Natural language queries | Limited | No | Full natural language interface |
| Workspace integration | None | Sheets only | Sheets, Slides, Docs |
| Workbook context awareness | No (imports flat data) | Partial (single range) | Full workbook understanding |
| Free tier | Limited rows/predictions | Free | Free tier available |
| Learning curve | Moderate (ML concepts required) | Low | Low |
When to Use What
Use Akkio if you need a dedicated ML pipeline with model versioning, deployment, and advanced prediction types. Your team has some data literacy and is willing to work outside the spreadsheet.
Use Simple ML if you want a free, zero-commitment way to explore basic ML concepts on your data. You are learning or doing quick exploratory analysis and do not need production-grade results.
Use o11 if your analysis needs to become a deliverable. You work across Google Workspace, want AI that understands your full workbook, and need results to flow into Slides, Docs, or shared reports without manual rework.
The Bottom Line
The right tool depends on where your workflow ends. If it ends at a trained model, Akkio has the depth. If it ends at a quick insight, Simple ML is free and easy. If it ends at a deck, a memo, or a report that someone else needs to read and act on, o11 closes the gap between analysis and output.
Most teams do not need a standalone ML platform. They need their spreadsheet to be smarter and their outputs to be faster. That is the problem o11 was built to solve.
