Faraday

Consumer brands and the marketing, sales, and data teams that support them can use Faraday to enrich customer and prospect records, identify who they represent, and predict how they may act. The platform combines a company’s first-party data with consumer attributes to build models for use cases such as lead scoring, purchase or conversion likelihood, churn risk, product recommendations, and next-best offers. Teams can also compare customer groups, create personas, and find audiences with traits similar to their best customers. Faraday provides a dashboard for uploading data, configuring predictions, and reviewing results, along with a REST API and options to deploy data in batches or connect it to data warehouses, CRMs, and other business tools. Its MCP connection can make customer context available to AI agents and workflows. Prediction explanations and tools for identifying and mitigating model bias help teams assess how scores are produced. Faraday is designed for organizations that want to apply customer-level data and predictive scores in marketing, sales, and customer engagement—not for general-purpose text generation.

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