Fidence AI turns your CRM and warehouse data into custom machine-learning predictions and actions - in minutes, with no code and no data-science team
Fidence AI turns your CRM and warehouse data into custom machine-learning predictions and actions - in minutes, with no code and no data-science team. Most companies sit on years of customer data and still find out about churn after the renewal call. The fix used to require a data-science team most companies can't hire. With Fidence, you describe the prediction you need in plain English: customer churn, lead scoring, customer lifetime value, demand forecasting, fraud detection, or upsell. Fidence connects to your data (HubSpot, Salesforce, Snowflake, Databricks, or a file), trains a custom model on your own data, and writes predictions and recommended actions back where your team works - tasks, notes, and risk scores in your CRM, with a human approving before anything executes. Under the hood: a multi-agent, cloud-native engine runs the whole data-science job end to end - data profiling, model strategy, code generation with pre-execution validation, training, and delivery. Always-on Sentinel pipelines re-sync, retrain, and re-score on a schedule, so predictions stay fresh without anyone remembering to run them. Why custom models: a model trained on your own customers beats a generic one. Peer-reviewed studies show 13-43% error reduction across churn, LTV, and demand tasks versus generic models. And your model is yours - trained on your data, in your own isolated environment, owned not rented. First prediction in about 10 minutes. No company should need to hire a data-science team to know which customers it's about to lose. See it working: https://fidence-ai.com