Who it is built for
- Teams enriching U.S. customer or lead records
- Marketing and sales teams that need predictive lead prioritization
- Product teams that need customer context through an API or MCP
Customer context and predictive data for business workflows
Faraday enriches customer and lead records with U.S. consumer context, and can build predictive models from first-party data. Teams can deliver selected attributes and propensity scores to their stack through an API, MCP, file append, or integrations.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Users can select consumer and identity data points and receive them through an API, MCP, or file append.
Faraday can use a customer's data to build and deploy bespoke machine-learning models.
The platform supports recurring deployments of customer context into connected business systems.
Choose the customer context or outcome to address, then provide customer or lead identifiers through a file upload, API, or connected system. Faraday matches records to its identity graph, enriches them with selected attributes, and can deploy custom predictive scores into the customer's workflow.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.