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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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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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
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
Limitations
Frequently Asked Questions
What is Faraday?
How can you get started with Faraday?
What is the Faraday Identity Graph?
How does Faraday ensure data is compliant and ethical?
Is Faraday an AI platform? How is it different from an LLM?
Getting Started
- 1 Sign up or 'Get started for free' on faraday.ai and create an account.
- 2 Upload or connect your first-party customer data via the no-code dashboard or API.
- 3 Configure prediction models (propensity, recommender, churn) or select FIG attributes to enrich records.
- 4 Deploy outputs into your stack using REST API, MCP, or direct warehouse integrations (e.g., BigQuery, Snowflake, Redshift).
- 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
REST API (fully documented) and API reference available on the site; supports real-time lookups and batch deployments.
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