Case Study: Hazel improves its AI agent with Faraday

Hazel builds a working prototype in 1 day with Faraday

Hazel, an agentic marketing platform, wanted to provide its AI agent with third-party consumer data to account for external market factors. The challenge was that acquiring this data through traditional brokers involved six-figure upfront licensing fees and would require a multi-month engineering project to implement. Hazel turned to vendor Faraday for a solution using its consumer context product.

By integrating with Faraday's API, Hazel gained immediate access to the Faraday Identity Graph and a built-in privacy compliance infrastructure. This reduced their build-out time from months to just a few weeks and slashed upfront costs from over $100,000 to zero through usage-based pricing. Faraday's solution allowed Hazel to have a working prototype within a single day, enabling their AI agent to retrieve real-time data and make optimal decisions for clients.

Hazel