Question: I'm looking for a platform that allows teams to experiment, test, and monitor AI models without requiring extensive engineering expertise.

If you're looking for a platform that lets teams experiment, test and observe AI models without having to become AI engineering experts, Athina could be the best fit. Athina is an end-to-end platform for GenAI teams, supporting popular frameworks and including features like real-time monitoring, cost tracking, and customizable alerts. It also includes tools for experimentation, analytics, and insights, making it a good option for teams that want to speed up their development cycle without sacrificing reliability.

Another top contender is Freeplay, an end-to-end lifecycle management tool for large language model (LLM) product development. It lets teams experiment, test, monitor and optimize with features like prompt management, automated batch testing and AI auto-evaluations. Freeplay's single pane of glass for teams and lightweight developer SDKs support a variety of programming languages, letting teams prototype faster, test with confidence and optimize products better.

For teams looking for a platform geared specifically for AI evaluation and testing, HoneyHive is a mission-critical environment for collaboration and testing. It includes automated CI testing, production pipeline monitoring, dataset curation and human feedback collection. HoneyHive supports a variety of models and offers tools for debugging, online evaluation and data analysis, making it a good option for monitoring and optimizing AI applications.

Last, Parea is an experimentation and human annotation platform designed to help AI teams ship LLM applications with confidence. It includes experiment tracking, observability tools and human annotation abilities. With integrations to popular LLM providers and frameworks, Parea lets teams debug failures, track performance and gather user feedback, all while offering a prompt playground for experimenting with new models.