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Akkio

Data & Analytics
β˜…β˜…β˜…β˜…β˜†4.3/ 5 Β· editorial ratingFreemium
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πŸ—’οΈ What is Akkio?

Build machine learning models without writing code. Predict churn, classify leads, and forecast sales with a simple drag-and-drop interface.

Akkio is particularly strong at no-code predictive AI builder, fast model training on CSV data, and churn and forecasting models out-of-the-box, making it a popular choice for customer churn prediction and sales revenue forecasting. One thing to keep in mind: limited to structured tabular data.

πŸ‘ What are Akkio's pros and cons?

Pros

  • No-code predictive AI builder
  • Fast model training on CSV data
  • Churn and forecasting models out-of-the-box
  • Business-friendly interface

Cons

  • Limited to structured tabular data
  • Less powerful than AutoML tools
  • Fewer integrations than larger platforms

🎯 What can you use Akkio for?

β†’Customer churn prediction
β†’Sales revenue forecasting
β†’Lead scoring automation
β†’Anomaly detection in business data

πŸ’° How much does Akkio cost?

Akkio offers a freemium model with a free tier and optional paid upgrades. Paid plans are available for advanced features. Review limits and billing details on the official website before subscribing.

Starter

$49/mo
  • 5 users
  • 10 AI models
  • Basic forecasting
  • CSV & Google Sheets
  • Standard support
Most Popular

Professional

$99/mo
  • 10 users
  • Unlimited AI models
  • Advanced analytics
  • API access
  • Priority support

Enterprise

Custom pricing
  • Unlimited users
  • Custom integrations
  • SSO
  • Dedicated support
  • SLA
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❓ Frequently Asked Questions

Is Akkio free?

Akkio offers a freemium model with a free tier and optional paid upgrades. Paid plans are available for advanced features. Review limits and billing details on the official website before subscribing.

What is Akkio used for?

Akkio is commonly used for Customer churn prediction, Sales revenue forecasting, and Lead scoring automation.

Is Akkio worth it in 2026?

In our review, Akkio scores 4.3/5. Its main strengths are No-code predictive AI builder and Fast model training on CSV data. On the downside, Limited to structured tabular data.

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