Akkio
No-code AI platform for building predictive models and forecasts directly from spreadsheet data.
Our take
A no-code AI platform for building predictive models and forecasts from spreadsheet data, aimed at business users rather than data scientists.
Best for
Business teams who want to build predictive models (churn, sales forecasts) from spreadsheets without hiring a data scientist.
Pros
- No-code predictive modeling - upload data, pick a target, get predictions
- Useful for forecasting and churn-style use cases
- Integrates with common data sources and CRMs
Cons
- Pricing is not transparent upfront and skews toward larger teams
- Less suited to general dashboarding/visualization than Power BI or Tableau
How it compares
More focused on prediction than visualization, complementing rather than replacing tools like Power BI or Julius AI.
Full review
Akkio is a no-code predictive analytics platform — it lets users build machine learning models (for forecasting, churn prediction, lead scoring, and similar tasks) by simply connecting a dataset and selecting what to predict, without writing any code or having a data science background.
Its no-code model-building workflow guides users through selecting a target variable (what to predict) and relevant input columns, then automatically trains and evaluates a model, presenting results in business-friendly terms (e.g., "this model predicts churn with X% accuracy") and allowing predictions to be applied to new data or exported via integrations.
Akkio's pricing is positioned for small-to-medium businesses and scales with usage and integrations. For business teams that want to apply predictive modeling (forecasting demand, scoring leads) without hiring a data scientist, Akkio's no-code approach makes machine learning accessible in a way that tools like Hex or traditional BI platforms don't directly address.
Cloudkart Rubric
3.2/5 avg- Actual Utility4/5
- Ease of Use4/5
- Pricing Fairness2/5
- Reliability3/5
- Differentiation3/5