Lamini is an enterprise-focused platform for software teams to create, manage and deploy their own Large Language Models (LLMs). It's got features like memory tuning for high accuracy, deployment on different environments, and high-throughput inference. It can be installed on-premise or in the cloud, and scales up to thousands of LLMs. The service offers a free tier and a custom enterprise tier with support, so it's a good option for enterprises.
Another good option is Vellum, which offers a collection of tools for managing the lifecycle of LLM-powered applications. It's got tools for rapid prompt engineering, complex multi-step chain composition, and large-scale prompt evaluation. Vellum is built for enterprise scale with top security, privacy and scalability, including SOC2 Type II and HIPAA compliance. That makes it a good option for sensitive and high-security environments.
If you want a more streamlined development process, Freeplay offers end-to-end lifecycle management for LLM product development. It lets you experiment, test, monitor and optimize AI features with prompt management and versioning, automated batch testing and AI auto-evaluations. Freeplay is good for bypassing manual and laborious processes, so it's a good option for enterprise teams trying to speed development and cut costs.