Question: Can you recommend a solution that helps me manage and monitor AI model usage and consumption across my organization?

Athina is a full featured end-to-end platform for enterprise GenAI teams. It provides real-time monitoring, cost tracking, and customizable alerting, supports popular frameworks, and offers features like LLM Observability, Experimentation, Analytics, and Insights. With tiered pricing, it's geared for teams of all sizes, and is designed to help accelerate development and ensure AI reliability.

Another strong contender is Openlayer. This advanced platform is geared for developing, deploying and managing high-quality AI models, especially large language models. It offers automated testing, monitoring and alerting, versioning and tracking. Openlayer is for a wide range of users, including data scientists and ML engineers, and offers peace of mind with features like SOC 2 Type 2 compliance and on-premise hosting.

If you prefer a more collaborative approach, HoneyHive offers a single LLMOps environment for testing, evaluation and observability. It includes automated CI testing, production pipeline monitoring and a shared workspace for managing prompts. With features like automated evaluators, human feedback collection and distributed tracing, HoneyHive is geared for heavy-duty model management and debugging, and is a good choice for teams that want to get their AI development work done more efficiently.