Fidence

Fidence is the prediction layer between your company's data and the people and agents that act on it. Connect Fidence to Claude and you can turn your own data into a custom predictive model, score every record, and push the scores back into the tools where work happens, all from one conversation. What you can do: - Import from the tools you already use: monday.com, HubSpot, Salesforce, Snowflake or Databricks. Connect a source once in the Fidence app, then pick a board, a contact list or a table from Claude, and Fidence brings in the labelled rows to train on and the open rows to score. - Build a model on your own data: churn, lead scoring, customer lifetime value, fraud, demand forecasting and upsell. Start from a ready template, or point Fidence at your own dataset and target column. - See who is at risk and why: ranked scores with risk tiers, model quality (ROC AUC, precision, recall) and the features that drive the predictions. - Ask Fidence: questions like "which customers are most likely to leave next month and what do they have in common" go to Fidence's own analysis, with suggested follow-ups. - Write back: preview first, then write the scores back where the data came from (a board, your CRM contacts or your warehouse table) as new fields, so your automations and agents can act on them. Write-back always asks for confirmation. Very large CRM or warehouse write-backs are best run from the Fidence app. Every model is trained only on your data, stays in your workspace, and reports its metrics and provenance so you can judge it before you rely on it. Scores show pseudonymous ids by default; full rows need your confirmation. Requires a Fidence account (sign in with Google at fidence-ai.com).