Faraday

Faraday is a customer context platform that enriches first-party data with real-world consumer signals to power personalized experiences. It provides access to over 1,500 curated attributes on 240 million U.S. adults, including demographics, financial signals, property details, and lifestyle metrics. Faraday uses this data to build custom predictive models—such as propensity to convert, next best offer, or persona clustering—and delivers them via REST API, MCP server, or native integrations.

Key Features

• Identity Graph (FIG): Deterministic consumer data covering 240 million U.S. adults with 1,500+ attributes per individual.
• Custom Predictions: Automatically build and deploy machine learning models using your first-party data combined with Faraday's context.
• Multiple Deployment Options: No-code dashboard, REST API (under 200ms), MCP server for AI agents, and direct integrations with data warehouses and marketing platforms.
• Real-Time & Batch: Supports both real-time lookups and recurring batch deployments.

Who It’s For

Faraday serves consumer-facing businesses in retail, e-commerce, financial services, home services, and health/wellness. It is also used by marketing agencies and SaaS platforms that need to embed consumer intelligence into their own products.

Workflow

Users upload customer records, select target outcomes (e.g., conversion), and Faraday automatically builds a predictive model. The resulting scores and enriched profiles are then deployed into CRMs, data warehouses, or AI workflows via API or file append.

Key Benefits

• Faster integration with real-time APIs and MCP
• Curated, actionable intelligence from 1,500+ signals
• AI grounding prevents hallucination in agentic workflows
• Combines first-party history with third-party context for predictive power