Akkio is a no-code AI platform that enables users to build and deploy forecasting models using historical data without technical expertise.
Akkio allows users to create AI forecasting models from historical data to predict business metrics such as revenue, costs, and commodity prices. It supports easy model building, deployment via API, web app, or integrations like Zapier, and is designed for non-technical teams.
Updated Oct 27, 2026
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There’s also the option to “See Model Report,” which lets us easily collaborate with others and share these model details with anyone, even if they don’t have an Akkio account.
This dataset is already uploaded to Akkio for demonstration purposes, which you can see on the homepage as “Forecasting Demo,” but you can upload any dataset you want by simply clicking “Upload Dataset.”
When that’s uploaded, you’ll see an overview of the dataset, including the number of rows, the data types of each column, the latest upload date, and a scrollable preview of the dataset.
You can also select a longer training time—from 1 to 5 minutes—for potentially more accurate models.
Simply click “Add Step” and your preferred deployment method. To deploy via web app, for instance, click “Web App” and then “Deploy,” and you’ll have a live link you can share with anyone to make predictions on new data.
The forecasting demo shows deployment via API as the third step, which is a powerful way to instantly serve predictions in any setting.
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