Faraday

Overview

Faraday is a customer context and predictive intelligence platform that enables consumer-facing brands, marketers, and AI agents to forecast customer behavior. Powered by the Faraday Identity Graph of 240 million US adults, it enriches first-party data with 1,500+ real-world consumer attributes. The platform generates custom predictive models for propensity to convert, lifetime value, persona clustering, and next-best offers. With native integrations for CRMs, data warehouses, and Model Context Protocol (MCP), Faraday grounds AI agents in real-world data.

Founder story

Faraday was founded in 2012 in Middlebury, Vermont, by Andy Rossmeissl, Robbie Adler, and Seamus Abshere. Having previously co-founded sustainability platform Brighter Planet, the founders set out to help residential solar providers identify high-propensity buyers. After receiving an initial grant from the US Department of Energy, they built an ethical consumer modeling engine and relocated to Burlington, Vermont, expanding the platform across retail, finance, and enterprise SaaS verticals.

What it does

• Enriches first-party CRM and warehouse data with over 1,500 responsibly sourced consumer attributes
• Builds automated propensity, lifetime value, and persona cluster models to forecast buyer behaviors
• Delivers real-time predictions directly into CRMs, ad channels, and AI agents via API and MCP
• Includes built-in ethical AI controls to detect and mitigate demographic bias in predictive scoring.

Who it's for

• E-commerce & Retail Brands
• Financial Services & Fintech Companies
• Home Services & Direct-to-Consumer Businesses
• Growth Marketers & Data Science Teams

Why it works

• Deterministic coverage of 240 million US adults provides deep consumer signals beyond simple web clicks
• Automated decision-tree and cluster modeling delivers turn-key predictive scoring without custom ML engineering
• Model Context Protocol (MCP) integration optimizes context budgets for AI agents without prompt bloat
• Built-in bias mitigation and explainable AI metrics ensure regulatory compliance and fair consumer targeting.

Growth strategies

• Integration partnerships with major enterprise data platforms including Google BigQuery, Snowflake, and CARTO
• Co- marketing and agency reseller channel partnerships across performance marketing and MarTech platforms
• Direct enterprise sales targeting consumer brands in financial services, retail, and home services
• Technical thought leadership on ethical AI, bias mitigation, and context engineering for LLM agents

Alternatives

• Pendo
• Retention Science
• DataRobot
• Amperity

Comparison overview

• Faraday combines first-party CRM data with an ethically sourced Identity Graph of 240M US consumers.
• Delivers predictive propensity and persona scores directly via APIs and MCP for AI agent grounding rather than relying solely on past clickstream history.
• Includes native algorithmic bias detection and mitigation tools designed to prevent demographic discrimination in predictive modeling.