Last updated 08-03-2026
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Faraday
Faraday delivers customer context on roughly 240 million U.S. adults through its Faraday Identity Graph, giving marketing teams and AI agents the demographic, financial, and lifestyle signals that first-party CRM data alone cannot provide. Founded in 2012 and based in Burlington, Vermont, the platform enriches lead lists, builds propensity and churn models, and deploys predictions via REST API, MCP server, or batch files into warehouses like Snowflake, BigQuery, and Redshift.
Where traditional lead scoring tools rely on clicks and form fills, Faraday layers real-world household context onto your own customer records before training bespoke machine learning models. Case studies cite a jewelry brand personalizing at scale, American Standard closing leads at 3x higher margin, and Bespoke Post seeing 5x ROI on subscription box targeting. Both Faraday Pro (self-serve, pay per match) and Faraday Enterprise (custom models, sales-led setup) draw from the same identity graph.
E-commerce brands, financial services firms, home services companies, and AI platform builders use Faraday to segment personas, score propensity to buy, and ground agent workflows in verified consumer data rather than guesswork.
Faraday Identity Graph covers approximately 240 million U.S. adults with 1,500+ attributes per person
REST API returns enriched identity and predictive scores in under 200 milliseconds
Native MCP server lets AI agents pull customer context directly into their workflow
Propensity and recommender model builders train custom predictions on your first-party data
Integrates with Snowflake, BigQuery, Redshift, Salesforce, Shopify, and 50+ downstream tools
SOC 2 Type II certified since 2020 with HIPAA, GDPR, and CCPA compliance
Identity graph spans roughly 240 million U.S. adults with 1,500+ attributes each.
Self-serve Faraday Pro option avoids a sales cycle for attribute lookups.
Native MCP server grounds AI agents in verified consumer context.
SOC 2 Type II, HIPAA, and GDPR compliance backed by a company operating since 2012.
Coverage limited to U.S. consumer data, not international markets.
Custom predictive models and deep integrations require the Enterprise sales path.
Pay-per-match Pro pricing can add up at high lookup volumes.
What is Faraday?
Faraday is a customer context platform founded in 2012 and headquartered in Burlington, Vermont. It enriches customer and lead records with data from the Faraday Identity Graph, which covers about 240 million U.S. adults, and deploys predictions through API, MCP, or batch files.
What is the Faraday Identity Graph?
The Faraday Identity Graph is Faraday's deterministic consumer data foundation with over 1,500 curated attributes per individual across roughly 240 million U.S. adults and households. It includes demographics, financial signals, property details, and lifestyle metrics used to power predictions.
What is the difference between Faraday Pro and Enterprise?
Faraday Pro is a self-serve interface where you pick attributes, pay per match, and consume data via real-time lookup or file upload. Faraday Enterprise is sales-led and supports custom predictive models, cohorts from event streams, and deeper stack integrations.
How does Faraday connect to AI agents?
Faraday offers a native MCP server that lets AI agents retrieve customer context directly within their context window. The REST API also supports real-time lookups returning enriched identity and predictive scores in under 200 milliseconds.
What industries does Faraday serve?
Faraday primarily serves retail and e-commerce, home goods and home services, financial services and insurance, and health and wellness brands. Marketing agencies and SaaS platforms also use Faraday to offer enrichment and predictions to their own customers.
Is Faraday compliant with privacy regulations?
Faraday maintains SOC 2 Type II certification since 2020 and complies with HIPAA, GDPR, CCPA, and more than 14 additional U.S. state privacy laws. Client data is logically isolated, encrypted at rest and in transit, and never used to train models for other accounts.