Description
Faraday offers a comprehensive customer context platform designed to empower AI agents and workflows with rich, on-demand data. The platform leverages the Faraday Identity Graph (FIG), which contains over 1,500 data points on approximately 240 million U.S. adults. This extensive dataset allows businesses to gain deep insights into their customers, enabling more personalized experiences and data-driven decision-making.
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Faraday provides customer context through multiple flexible deployment methods, including a real-time API, the Model Context Protocol (MCP), and a user-friendly UI. Businesses can select specific data elements for their payloads, making them readily available for integration into their existing systems. The platform offers access to over 1,500 consumer and identity data points from leading compilers, covering demographics, financial signals, lifestyle attributes, and behavioral indicators.
Beyond static data, Faraday excels at building custom predictive models. By combining the Faraday Identity Graph with a client's first-party data, the platform can automatically generate bespoke machine learning models. These models can predict outcomes such as propensity to convert, next best offer, or persona clustering, providing expert-level context. This predictive power transforms customer engagement, as demonstrated by American Standard, which saw a 3x higher margin on closed customers by prioritizing leads with high Faraday scores.
For ongoing workflows, Faraday supports recurring deployments, continuously infusing customer context throughout a company's tech stack. It integrates with major data warehouses, cloud providers, and marketing tools, ensuring that every customer interaction is informed by relevant data. This continuous integration has led to significant ROI for clients like Bespoke Post, which achieved a 5x ROI and a 5% lift in revenue per customer.
Faraday is committed to data security and ethical practices, holding SOC 2 Type II certification and complying with HIPAA, GDPR, CCPA, and numerous other privacy laws. Client data is strictly isolated, encrypted, and never used to train models for other accounts. The platform is designed to be a complementary intelligence engine for Customer Data Platforms (CDPs), providing the crucial real-world context that makes CDP data actionable and powers more effective AI agents.
- CategoryForecasting & Predictive Analytics
- Pricing ModelContact sales
- DeploymentAPI, MCP, Batch
- PlatformsWeb
Faraday Customer Context Platform's Core Features
On-demand customer context delivery via API, MCP, and UI
Access to 1,500+ consumer and identity data points on 240 million U.S. adults
Builds custom predictive models using first-party and third-party data
Enables AI agents and workflows with real-world data grounding
Recurring deployment for continuous context infusion into tech stacks
Integrates with major data warehouses, cloud providers, and marketing tools
Provides insights for personalization, acquisition, and smarter decision-making
Data security and compliance with HIPAA, GDPR, CCPA, and SOC 2 Type II
Identity resolution for combining disparate data sources
Persona building and segment comparison capabilities
Real-time API with sub-200ms response times
Model Context Protocol (MCP) for direct AI agent integration
How to use Faraday Customer Context Platform?
Configure: Select desired data elements and predictive models.
Integrate: Connect Faraday via API, MCP, or batch deployment.
Deploy: Infuse customer context into AI agents and workflows.
Personalize: Enhance customer experiences with rich, real-time data.
Optimize: Leverage predictive insights for smarter business decisions.
Faraday Customer Context Platform's Use Cases
- AI Agent Grounding
- Personalized Experiences
- Smarter Decisions
- Predictive Modeling
- Customer Segmentation
- Lead Prioritization
- Adaptive Discounting
- Subject Line Personalization
