If you're looking for a different alternative to Lamini, Vellum is another top option. Vellum offers a full suite of tools to manage the life cycle of large language model (LLM) applications, including prompt engineering, semantic search, prompt chaining, evaluation and monitoring. It can be used for a variety of use cases, including workflow automation and chatbots, and is designed for enterprise-level security, privacy and scalability.
Another option is ClearGPT, which is geared for internal enterprise use. ClearGPT is designed to address security, performance, cost and data governance concerns, with features including role-based access, data governance and continuous fresh data for adaptive AI. It has zero data and IP leakage since it runs on a private network, so it's a good option for companies that want to deploy AI models internally.
For those who want a collaborative environment to develop and optimize LLM applications, Humanloop offers a sandbox environment for developers, product managers and domain experts. It includes a collaborative prompt management system, an evaluation and monitoring suite and tools for customization and optimization. Humanloop supports popular LLM providers and integrates with Python and TypeScript, so it's a good option for teams.
Last, Prem is an AI platform that lets companies use personalized LLMs with data sovereignty and independence from third-party providers. It offers a user-friendly development environment for prompt engineering, evaluation and deployment, with on-premise deployment options to keep sensitive data in-house. Prem lets companies customize and fine-tune for their specific business needs, and it's a modernized approach to AI operations.