Question: Is there a tool that provides end-to-end lifecycle support for AI projects, from idea to deployment, including workspaces and training?

If you're looking for a more comprehensive tool that spans the lifecycle of an AI project, from conception to deployment, Freeplay is a good option. It includes a variety of tools like prompt management, automated batch testing, AI auto-evaluation and human labeling all in one interface. Freeplay is geared to speed up development, making it a good choice for enterprise teams that want to speed up their work and cut costs.

Another powerful option is Clarifai, which offers an AI workflow orchestration platform. It helps bring AI prototypes to production by standardizing workflows and lowering development costs. Clarifai supports many modern AI technologies and has features like automated data labeling, content moderation and visual inspection that should be useful to no-code and low-code users.

Athina is another powerful option for enterprise GenAI teams, with a full stack for experimentation, measurement and optimization of AI applications. It includes features like LLM Observability, Experimentation, Analytics and Real-time Monitoring, giving AI teams a full suite to speed up development and deploy with confidence.

If you're more focused on workload optimization and orchestration, Run:ai is worth a look. It dynamically manages AI workloads and resources to maximize GPU usage, and it supports a variety of tools and frameworks like Jupyter Notebook and Pycharm. Run:ai is geared for data scientists, MLOps engineers and DevOps teams trying to optimize AI development and get more use out of their resources.