If you're looking for another Aigur alternative, Dataloop is worth a look. It offers data curation, model management, pipeline orchestration and human feedback to speed up AI application development. The service can handle many types of unstructured data and can connect to major cloud computing platforms, with tools for collaboration and development and strong security to keep things on the up and up.
Another big contender is LastMile AI, which is geared to let engineers productionize generative AI applications with more confidence. It includes features like Auto-Eval for automated hallucination detection, RAG Debugger for better performance and AIConfig for optimizing prompts and model parameters. The service also offers a notebook-like environment for prototyping and app development with multiple AI models, and it's designed to let you deploy production-ready generative AI apps.
Klu is another good option for building, deploying and optimizing generative AI apps using large language models. It supports multiple LLMs and offers features like fast iteration, built-in analytics and support for custom models. Klu lets AI engineers and teams iterate and optimize LLM-based apps quickly, with different pricing levels for different needs.
If you're looking for a unified DevOps platform for building, deploying and monitoring AI apps based on large language models, check out Keywords AI. It offers a single API endpoint for multiple LLM models, easy integration with OpenAI APIs and performance monitoring with auto-evaluations. Keywords AI is geared specifically for AI startups, letting developers focus on products instead of infrastructure.