Question: I'm looking for a platform that allows me to run and compose multi-step AI programs with optimized models and efficient data storage.

If you need a foundation to run and compose multi-step AI programs with optimized models and efficient data storage, Substrate is a strong contender. It's a modular API that includes optimized models, file and vector storage, and a code interpreter. Substrate handles parallelism, throughput and data locality so you can write sophisticated AI programs in a natural, imperative style. It supports a variety of model types, including language, image and audio models, and offers flexible pricing options.

Another strong contender is Parallel AI, which automates business operations and helps you get more done. It comes with a broad range of AI models, including Long-Term Memory for AI employees to recall earlier conversations. The service also comes with a Workflow Builder to create multi-step AI processes and integrates with services like Slack and Google Docs. Parallel AI has security protections with AES-256 encryption and TLS 1.2+ encryption, so it's a good fit for businesses.

If you want an open-source option, LLMStack is worth a look. It lets developers create AI apps using pre-trained language models from other companies. LLMStack can import data from a variety of sources, and it has a no-code builder to connect multiple LLMs to data and business processes. It also has vector databases for efficient data storage and can run on both cloud and on-premise environments.

Anyscale is another general-purpose foundation for developing, deploying and scaling AI applications. It's built on the open-source Ray framework, but it's designed to support a broader range of AI models. It's got features like workload scheduling and smart instance management. Anyscale promises cost savings and has native integration with popular IDEs and persisted storage, so it's a good fit for large enterprises with complex AI needs.