If you're looking for a replacement for HoneyHive, Humanloop is another option. The platform is geared for managing and optimizing Large Language Model (LLM) development, a process plagued by workflow inefficiencies and bad collaboration. It's a sandbox for developers, product managers and domain experts to develop and iterate on AI features, along with a suite of tools for debugging and monitoring AI performance. It integrates with common LLM suppliers and comes with Python and TypeScript SDKs for easy integration, so it should be adaptable to a wide range of AI development needs.
Another option is Parea, an experimentation and human annotation platform geared for AI teams. Parea has powerful tools to track experiments, monitor model performance and gather human feedback. It's got a prompt playground for testing multiple prompts on large swaths of data, and it integrates with common LLM suppliers like OpenAI and Anthropic. The company offers a variety of SDKs for integration and a few pricing tiers, including a free option, so it should be usable by small teams and adaptable to large enterprises.
Freeplay is a wide-ranging set of tools for managing the life cycle of LLM product development. It's got tools for experimentation, testing, monitoring and optimization, with features for prompt management and versioning, automated batch testing and AI auto-evaluations. Freeplay offers lightweight developer SDKs and compliance deployment options, so it should be a good option for speeding up development velocity and lowering costs.
If you want something more elaborate, LastMile AI is a full-stack platform for productionizing generative AI applications. It's got features like Auto-Eval for automated hallucination detection, RAG Debugger for better performance monitoring and Service Mesh for unified API gateway access. The company's platform supports a range of AI models, and it's got a notebook-inspired environment for prototyping and building applications, so it's a good option for building more mature AI applications.