Akkio

Upload CSV files and automatically generate machine learning models for predictive analytics without writing code. The system handles data preprocessing, feature engineering, and model selection automatically.

Connect directly to Salesforce or HubSpot to automatically score leads based on historical conversion or engagement patterns. Predictions sync back to CRM records in real-time.

Connect directly to data warehouses to build models on large datasets without exporting to CSV, maintaining data governance and security.

Track how prediction accuracy changes over time as new data arrives, alerting users when model performance degrades.

Identify customers at risk of cancellation or non-renewal by analyzing historical behavior patterns. Generates churn probability scores for each customer record.

Predict which customers or prospects are most likely to respond to marketing campaigns based on historical campaign performance and customer attributes.

Train machine learning models using a spreadsheet-like UI with drag-and-drop column selection and one-click model generation. No SQL, Python, or ML knowledge required.

Apply trained models to large datasets or customer lists to generate predictions in bulk. Export scored results back to spreadsheet or CRM.

Embed predictions into automated workflows via Zapier integration, triggering actions in other tools based on prediction scores without custom code.

Connect Akkio models to Airtable bases to automatically populate prediction scores in table records and trigger base automations.

Identify which data columns have the strongest influence on predictions, providing business insight into what drives outcomes.

Build and test predictive models at no cost with limited prediction volume to validate use cases before purchasing paid plans.