Faraday

Faraday is a customer context platform that supplies consumer data and predictions to AI agents, applications and marketing workflows. It covers 240 million U.S. adults with more than 1,400 consumer and identity data points drawn from commercial data compilers, delivered through an MCP server, a real time API, a web interface and batch file append. The problem it addresses is that most systems know what a customer did but not who the customer is, and that agents and language models arrive at a conversation with no context about the person on the other side. There are two halves to the product. On demand context lets a team choose the elements it wants in a payload and receive them immediately. Custom predictions build models on the customer's own data: propensity to convert, next best offer, predicted lifetime value, persona clustering and forecasts. Faraday engineers predictors from first party data automatically, trains large ensembles of gradient boosted trees and keeps the best, normalizes features geographically, and selects the ensemble matched to a subject's tenure at the moment of inference. Reporting covers model performance, feature importances with direction and deeper technical detail, and predictions can optionally be bias managed. For ongoing work, recurring deployment pushes context back into data warehouses, cloud providers and marketing tools. Published use cases include adaptive discounting, subject line personalization, lead bidding, next best offer insertion, sales rep assignment, direct mail list pruning and loyalty targeting. Faraday does not publish prices. There is no pricing page on the site. A self serve tier called Faraday Pro is sold with no contract and no minimum, new accounts start with 200 free credits, and larger deployments are handled through sales. The credit rate itself is not published, so a quote is required to size a deployment.