With AI becoming mission-critical, relying solely on out-of-the-box evaluation metrics is not enough. Custom metrics empower teams to define exactly what “success” means for their unique AI use cases—whether it’s domain-specific, agentic, or multimodal. In this upcoming webinar, you’ll learn how to design, implement, and validate custom metrics for AI reliability, including strategies for scaling evaluations across millions of interactions and a live demo of Galileo's proprietary small language evaluation models, Luna, which can cut the cost and latency of real-time evaluations while improving accuracy for custom metrics.