Alicent vs Chalice AI

Chalice AI: Brand-Specific Models for Programmatic

This AdExchanger Talks podcast episode features Ali Manning, COO and co-founder of Chalice AI, discussing the company's approach to letting brands bring their own models into walled gardens, DSPs and SSPs. Chalice positions its software as continuously running, refreshable models (including generative AI) that optimize for brand-specific business outcomes rather than standard proxies like clicks or video completion. Manning describes challenges around the term "custom algorithm," explains Chalice's origin story, and gives a client example (Bayer’s One A Day) where Chalice used AI modelling and DSP bidding to drive offline "new to brand" sales. The conversation also touches on containerization and agentic bidding as possible ways to realize more precise programmatic outcomes.

• The article is a podcast interview with Ali Manning, COO & Co-Founder of Chalice AI.
• Chalice AI is described as a startup that enables brands to bring their own models into walled gardens, DSPs and SSPs.
• Chalice uses generative AI and continuously refreshed models to optimize for brand-specific outcomes rather than standard DSP proxies.