Faraday

Faraday started out as a predictive analytics vendor and has evolved into what it now calls a customer context platform. The core idea is that AI agents and marketing workflows are only as good as the data behind them, so Faraday assembles identity resolution, 1,400+ consumer and identity attributes, and custom machine-learning predictions into one context layer that can be queried by API, by MCP, or appended to files and warehouses in bulk.

On top of that data layer sits a modeling layer. Teams can build propensity-to-convert models, likelihood-to-churn models, next-best-offer recommenders and persona clustering without writing ML code, then deploy those scores back into their stack on a recurring schedule. Faraday integrates with major data warehouses, cloud providers and marketing tools, and reports its own security posture as SOC 2 Type II audited with GDPR, CCPA and HIPAA alignment.

The product is sold two ways. Faraday Pro is self-serve: you pick data points, consume them by real-time lookup, file upload or warehouse connection, and pay per match with free starter credits. Faraday Enterprise is a managed engagement with a dedicated context consultant aimed at complex event-history modeling. Both share the same identity graph.