If you need a way to see and understand the costs and performance of your GenAI apps in real time, Athina is worth a look. Athina is an end-to-end platform for enterprise GenAI teams, with real-time monitoring, cost tracking and customizable alerts. It includes LLM Observability, Experimentation, Analytics, and Insights features that should help teams speed up their development with working, efficient and accurate AI apps.
Another good option is HoneyHive, which focuses on AI evaluation, testing and observability. It provides a unified LLMOps environment for collaboration, testing and evaluation, with features like production pipeline monitoring and debugging, dataset curation and automated evaluators. HoneyHive also supports a variety of models through integrations with common GPU clouds and offers several pricing tiers, including a free Developer plan and a customizable Enterprise plan.
For a full-stack developer platform, LastMile AI is designed to help engineers productionize generative AI applications. It includes features like Auto-Eval for automated evaluation, RAG Debugger for unified tracing and AIConfig for version control and prompt optimization. The platform has a notebook-like environment for prototyping and deploying apps with multiple AI models, and it's designed to help you deploy production-ready generative AI apps.
Finally, Anyscale is a platform for building, deploying and scaling AI apps that's geared for performance and efficiency. It includes workload scheduling, cloud flexibility and smart instance management that can help you save money. Anyscale supports a variety of AI models and has native integrations with common IDEs so you can run, debug and test code at scale.