faraday-ai

faraday-ai

Faraday is a customer context platform that combines a deterministic identity graph, curated consumer data, and bespoke machine learning to provide real-time identity enrichment, predictive scores, and context for AI agents and marketing workflows.

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#131 in Business Intelligence (131 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

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Quick Overview

Best for: Personal & Entertainment

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Personal & Entertainment

Pricing snapshot

Free

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faraday-ai

Faraday is a customer context platform that provides identity resolution, curated consumer data, and custom predictive models to enrich customer records and ground AI agents and marketing workflows. The platform centers on the Faraday Identity Graph (FIG), a deterministic dataset covering approximately 240 million U.S. adults and households with over 1,500 curated attributes per individual. Faraday delivers this context via a no-code dashboard, real-time REST API, a native Model Context Protocol (MCP) server, and batch deployments to warehouses and downstream tools, enabling companies to integrate predictions and identity enrichment into existing stacks for acquisition, personalization, and agentic AI workflows.

Faraday predicts customer behavior using an API for building predictive customer experiences.

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Key Features

Faraday Identity Graph (FIG)

A deterministic consumer data foundation containing over 1,500 curated attributes on ~240 million U.S. adults and their households, including demographics, financial signals, property details, and lifestyle metrics.

Custom predictive models

Automatically build and deploy bespoke machine-learning models (propensity, recommender, churn, persona clustering) that combine FIG attributes with a customer's first-party data.

Real-time REST API

A fully documented REST API for batch deployments and real-time lookups, returning enriched identity and predictive scores (noted as returning results in under 200ms).

Model Context Protocol (MCP) server

A native MCP server that allows AI agents to securely retrieve customer context directly within their context window for agentic workflows.

No-code dashboard

App-based interface (app.faraday.ai) for uploading data, configuring and exploring predictions, building segments, and visualizing personas without code.

Warehouse & downstream integrations

Direct integrations with major data warehouses and 50+ downstream integrations to deliver context throughout the tech stack.

Security & compliance

SOC 2 Type II audited, HIPAA compliant (BAA available), GDPR and CCPA compliance, NIST 800-53 risk management, HackerOne bounty program, encryption and logical isolation of client data.

Pricing

Free Tier Available

Get started for free (signup available) — no detailed pricing tiers published on the page.

Use Cases

Personalization at scale

Enrich customer profiles with identity and behavioral context to personalize messaging, subject lines, offers, and product recommendations.

Lead prioritization and propensity scoring

Create propensity-to-convert or likelihood-to-churn models to prioritize leads and allocate acquisition spend more efficiently.

Next-best-offer and recommender systems

Build recommender models to predict which products or services a customer is most likely to buy and surface offers in real time.

Lookalike audiences & market expansion

Use FIG attributes and clustering to find lookalike audiences, expand into new segments, and site out-of-home locations.

AI agent grounding

Provide persistent, real-world customer context to agentic AI workflows so agents produce grounded, non-hallucinatory outputs.

Continuous deployment to stacks

Continuously deploy context and scores into warehouses, CRMs, and marketing tools to ensure ongoing workflows benefit from updated customer intelligence.

Integrations

Snowflake

Native data warehouse integration to sync customer context into Snowflake.

BigQuery

Native data warehouse integration to sync customer context into BigQuery.

Redshift

Native data warehouse integration to sync customer context into Redshift.

Salesforce

Downstream integration to activate enriched identity and predictive scores in CRM workflows.

Shopify

Downstream integration to apply customer context and predictions to e-commerce workflows.

50+ downstream integrations

General statement that Faraday supports 50+ downstream integrations for activation across marketing and analytics tools.

Benefits

Faster integration into existing stacks via real-time API, MCP, and warehouse connectors, reducing deployment time compared to traditional data vendors.
Improved model and AI grounding by combining first-party data with curated third-party FIG attributes to reduce hallucination and increase prediction relevance.
Optimized context budgets by synthesizing 1,500+ consumer signals into actionable intelligence rather than delivering raw data dumps.
Measurable business impact shown in case studies (examples on site include 3x higher margin for prioritized leads and 30% improved email conversion).
Flexible deployment options (dashboard, API, MCP, batch) to suit engineering constraints and business needs.

Limitations

Faraday explicitly does not position its data for FCRA-regulated decisions like credit or employment.
Faraday is an intelligence/enrichment layer and does not replace a Customer Data Platform (CDP); it complements CDPs by providing external context rather than managing internal data pipelines.

Frequently Asked Questions

What is Faraday?
Faraday is a customer context platform founded in 2012 and headquartered in Burlington, Vermont. It provides access to the Faraday Identity Graph (FIG) with over 1,500 data points on ~240 million U.S. adults and builds custom predictive models combining FIG with a client's first-party data; capabilities are available via API, MCP, or batch deployment.
How can you get started with Faraday?
Customers can enrich lead or customer lists with identity and consumer information, build cluster analysis and personas, and create custom propensity or recommender models. Access is available via the no-code dashboard, REST API, native MCP server, or native integrations to warehouses and downstream tools.
What is the Faraday Identity Graph?
The FIG is a deterministic consumer data foundation covering ~240 million U.S. adults and households with over 1,500 curated attributes including demographics, financial signals, property details, and lifestyle metrics.
How does Faraday ensure data is compliant and ethical?
Faraday maintains SOC 2 Type II certification, is HIPAA compliant (BAA available), complies with GDPR, CCPA and additional state laws, uses logical isolation and encryption for client data, performs HackerOne penetration testing, and follows a NIST 800-53 risk management program.
Is Faraday an AI platform? How is it different from an LLM?
Faraday is not an LLM. It uses machine learning to generate predictive data (e.g., propensity and churn) and provides persistent real-world customer context to ground AI systems, whereas LLMs generate text without persistent identity context.

Getting Started

  1. 1 Sign up or 'Get started for free' on faraday.ai and create an account.
  2. 2 Upload or connect your first-party customer data via the no-code dashboard or API.
  3. 3 Configure prediction models (propensity, recommender, churn) or select FIG attributes to enrich records.
  4. 4 Deploy outputs into your stack using REST API, MCP, or direct warehouse integrations (e.g., BigQuery, Snowflake, Redshift).
  5. 5 Monitor results, iterate on models, and integrate predictions into downstream tools like CRMs and marketing platforms.

Support

Docs

Product documentation and API reference available via the site (API reference mentioned).

No-code dashboard / self-serve

App interface (app.faraday.ai) for uploads, configuring predictions, and exploring results visually.

Meet with an expert

'Meet with an expert' option on the site for sales or onboarding conversations.

Community & social

Links on the site to Discord, GitHub, and LinkedIn for community and partner engagement.

Contact

Contact via faraday.ai (site provides contact and signup flows).

API

Available: Yes
Documentation:

REST API (fully documented) and API reference available on the site; supports real-time lookups and batch deployments.

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