Faraday
Faraday is a customer context platform that combines a proprietary 240-million-record U.S. consumer identity graph (FIG) with bespoke machine learning models to deliver predictions on lead conversion, churn, personas, and next-best-offer to consumer brands, marketing platforms, and AI agents via API and MCP.
- Company typePrivate
- Founded2012
- HeadquartersBurlington, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Faraday does
Faraday, Inc. is a U.S.-based customer context platform founded in 2012 and headquartered in Burlington, Vermont. The company combines first-party client data with a proprietary identity and consumer database — the Faraday Identity Graph (FIG), covering approximately 240 million U.S. adults with over 1,500 curated attributes per individual — to build and deploy bespoke machine learning models for consumer brands. Primary use cases include lead prioritization, churn scoring, propensity-to-convert, next-best-offer recommendations, customer persona clustering, and adaptive discounting. As of May 2026, FIG v2 extends this with full historical attribute values, continuous data refreshes, and release pinning, enabling models trained on pre-purchase profiles.
The platform is delivered through three primary surfaces: a no-code self-serve dashboard, a REST API returning enriched records and predictive scores in under 200 ms, and a native Model Context Protocol (MCP) server that exposes customer context directly to AI agents within their context windows. Faraday integrates natively with 50+ downstream systems including Salesforce, Shopify, HubSpot, Klaviyo, Snowflake, BigQuery, and Redshift, and supports batch deployment as well as real-time lookups. The company reports 71 billion predictions deployed across thousands of brands and platforms in a recent 30-day window.
Commercially, Faraday operates a hybrid go-to-market combining a freemium self-serve tier with enterprise sales, monetizing through recurring platform subscriptions and usage-based API consumption. Pricing is not publicly disclosed for enterprise tiers. The company has raised approximately $11.4M in disclosed funding across eight rounds since 2014, with the most material round being a $4.1M raise led by Intercap in July 2021, and an additional $175K from FreshTracks Capital and Intercap in June 2022. Leadership consists of co-founders Andy Rossmeissl (CEO), Seamus Abshere (CTO), and Robbie Adler (CSO). Customer segments span retail and e-commerce, home goods and home services, financial services and insurance, health and wellness, marketing agencies, and increasingly SaaS and agentic AI platforms.
Faraday firmographics
Firmographics- Name
- Faraday
- Legal name
- Faraday, Inc.
- Website
- https://faraday.ai
- Company type
- Private
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Faraday is a customer context platform that combines a proprietary 240-million-record U.S. consumer identity graph (FIG) with bespoke machine learning models to deliver predictions on lead conversion, churn, personas, and next-best-offer to consumer brands, marketing platforms, and AI agents via API and MCP.
- Ownership category
- akta.pro rank
Faraday industry classification
Industry- Product category
- Customer Data & Predictive Intelligence Platform
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Marketplace & On-Demand Platform Recommendations (rideshare, delivery, services) (HDAAAGAK)
- akta.pro secondary industry
- Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy) (HDAAAMAD)
Keywords
Where Faraday is headquartered
LocationHeadquarters
- HQ city
- Burlington
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Faraday business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription - Platform Access: SaaS subscription model providing access to Faraday's customer context platform including data enrichment, predictive models, and deployment capabilities. Accessed via dashboard, API, or MCP.
- Usage-based API Calls: Consumption-based pricing for API calls and real-time lookups, with batch deployment options for larger data operations.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for initial exploration and small-scale usage |
| Subscription | Annual | Enterprise tier with custom pricing for large deployments |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels5 records
Faraday product offering
Product offeringCore offering
Faraday provides a customer context platform that combines a proprietary consumer data foundation (the Faraday Identity Graph, covering ~240M U.S. adults with 1,500+ attributes) with client first-party data to power custom machine-learning predictions such as propensity to convert, churn risk, next-best-offer, and customer personas. These predictions and enriched identities are delivered via a no-code dashboard, REST API (under 200ms), MCP server for AI agents, and native integrations into 50+ martech, CRM, and data-warehouse platforms.
Product overview
Faraday is a customer context platform that provides a unified portfolio of consumer data and predictive intelligence products. The core offering consists of the Faraday Identity Graph (FIG), a deterministic consumer database covering 240 million U.S. adults with 1,500+ attributes, which serves as the foundational data layer for all other products. Built on top of FIG, the platform offers Custom Predictions (propensity models for conversion, churn, and spend), Data Enrichment, and Persona Sets for customer segmentation. The platform provides specialized modules for lead management (Lead Prioritization, Lead Rejection, Lead Suppression), customer engagement (Churn Scoring, Repeat Purchase Readiness, Adaptive Discounting, Next Best Offer), and sales optimization (Rep Assignment, Thematic Personalization). The MCP Server integration enables AI agents to access customer context. All capabilities are delivered via REST API, MCP, or batch deployment to customer data warehouses and downstream marketing tools including Salesforce, Shopify, HubSpot, and major cloud data platforms.
Differentiator
Problem solved
Functional benefit
Brands
- Faraday Identity Graph (FIG): A deterministic consumer data foundation covering approximately 240 million U.S. adults with over 1,500 curated attributes per individual.
- Faraday Identity Graph v2 (FIG v2)
Products and services
- Faraday Identity Graph (FIG)
Quantifiable outcome
- 3x higher conversion margin for high-score leads (American Standard)
- +4 more outcomes
Companies that use Faraday
Customer profileNamed customers8 records
Segments6 records
Ideal customer profiles5 records
Faraday technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration24 records
AI capability4 records
Feature5 records
Faraday partnerships and signals
Strategic signalScale indicators6 records
Recent moves6 records
Expansion highlights6 records
Faraday competitors and assessment
Company assessmentDirect peers
- Amperity: Amperity is a customer data platform that uses AI/ML to build unified customer profiles and predictive segments for enterprise brands. Directly comparable to Faraday in offering AI-driven identity resolution, predictive modeling, and activation across marketing stacks, though Amperity focuses on larger enterprise deployments while Faraday extends more into PLG/SMB.
- Twilio Segment: Segment is a leading customer data platform that collects, cleans, and routes customer event data to downstream tools. Both companies unify first- and third-party data, integrate with the same martech stack (Salesforce, HubSpot, etc.), and target similar brand customers, though Segment focuses more on event collection and is part of the larger Twilio ecosystem.
- mParticle: mParticle is a customer data platform with real-time data infrastructure, identity resolution, and integrations with major martech and ad platforms. Overlaps with Faraday on data unification, predictive audience building, and SaaS/API-first delivery, though mParticle emphasizes real-time event ingestion more than third-party enrichment.
- Lytics: Lytics is a customer data platform that combines first-party data activation with ML-driven predictive modeling and audience building. Comparable to Faraday in serving mid-market and enterprise brands with ML-powered segmentation, next-best-action recommendations, and activation across marketing channels.
- ActionIQ: ActionIQ is an enterprise customer data platform offering identity resolution, audience segmentation, and activation for large consumer brands. Comparable to Faraday on enterprise CDP functionality and customer base (retail, financial services), though ActionIQ targets larger organizations with deeper enterprise IT integrations.
- BlueConic: BlueConic is a customer data platform focused on unified first-party data, predictive scoring, and lifecycle marketing for retail and consumer brands. Directly comparable to Faraday in offering customer profile unification, predictive modeling, and activation across the martech stack, with similar mid-market positioning.
- Bombora: Bombora provides B2B intent and consumer intelligence data used for audience targeting and predictive scoring. Comparable to Faraday on the consumer data enrichment and predictive intelligence layer, though Bombora specializes in B2B intent signals while Faraday serves B2C brands primarily.
- Treasure Data: Treasure Data is an enterprise customer data platform combining first-party data unification with ML-driven predictive analytics and audience activation. Comparable to Faraday on the data unification + predictive modeling stack, with overlap in financial services and retail customers, though Treasure Data emphasizes large-scale data warehouse integration.
- Tealium: Tealium is a customer data platform offering tag management, data integration, and audience activation for enterprise brands. Comparable to Faraday on the data orchestration and activation layer, with similar retail and financial services customer base, though Tealium emphasizes tag management and real-time event collection.
Broad incumbents
- LiveRamp: LiveRamp is a large, publicly traded data connectivity platform providing identity resolution, data collaboration, and audience activation across the advertising ecosystem. Comparable to Faraday on identity graph technology and data onboarding, but LiveRamp operates at significantly larger scale and serves primarily ad-tech and enterprise publisher use cases.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Faraday social profiles
Digital presenceFaraday financial estimates
Financial estimateRevenue estimate
Valuation estimate
Faraday leadership team
Management profileNumber of profiles
Profiles3 records
Faraday funding detail
Funding detailFunding overview
Funding rounds8 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Faraday M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Faraday
What does Faraday do?
Faraday provides a customer context platform that combines a proprietary consumer data foundation (the Faraday Identity Graph, covering ~240M U.S. adults with 1,500+ attributes) with client first-party data to power custom machine-learning predictions such as propensity to convert, churn risk, next-best-offer, and customer personas. These predictions and enriched identities are delivered via a no-code dashboard, REST API (under 200ms), MCP server for AI agents, and native integrations into 50+ martech, CRM, and data-warehouse platforms.
Is Faraday a public or private company?
Faraday is a private company. It is classified as venture growth investor backed and is currently operating.
When was Faraday founded?
Faraday was founded in 2012. It employs 11 to 50 people.
Where is Faraday based?
Faraday is headquartered in Burlington, United States, in the North America region.
How does Faraday make money?
Two revenue lines are on record. Subscription - Platform Access are the primary driver. The others are usage-based API Calls.
Who are Faraday's main competitors?
Direct peers on record are Amperity, Twilio Segment, mParticle, Lytics, ActionIQ, BlueConic, Bombora, Treasure Data and Tealium. LiveRamp is listed as a broad incumbent.
Does Faraday have an API?
Yes. Faraday offers a REST API for batch deployments and real-time lookups, returning enriched identity and predictive scores in under 200ms. The platform provides multiple deployment methods: no-code dashboard (app.faraday.ai), REST API for batch and real-time, native MCP server for AI agents to securely retrieve customer context directly within their context window, and native integrations to data warehouses (Snowflake, BigQuery, Redshift) and 50+ downstream platforms. Developer documentation is at faraday.ai/docs/reference.
What industry is Faraday in?
Faraday's product category is Customer Data & Predictive Intelligence Platform. Its primary akta.pro industry code is HDAAAGAK, Marketplace & On-Demand Platform Recommendations (rideshare, delivery, services), with a secondary code of HDAAAMAD, Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy). Its NAICS code is 5132 and its SIC code is 7373.