If you want a platform that lets data, ML and embedded teams collaborate on AI model development, Hugging Face is a top contender. The open-source platform is a full-fledged ecosystem for model collaboration, dataset exploration and app development. With more than 400,000 models, 150,000 apps and access to more than 100,000 public datasets, Hugging Face has a lot of collaborative horsepower. It's got optimized compute options, single sign-on and private dataset management, too, so it's good for both solo developers and companies.
Another strong contender is Humanloop. It's geared for managing and optimizing the development of Large Language Models (LLMs) apps. It's got a collaborative prompt management system with version control and history tracking, an evaluation and monitoring suite, and customization and optimization tools. Humanloop can integrate with popular LLM providers and has Python and TypeScript SDKs for easy integration. It's geared for teams building AI features, and notable customers include Athena, Duolingo, Gusto and Oviva Group.
If you want a governed environment, check out Domino Data Lab. It's designed to work with a broad ecosystem of tools and infrastructure so you can get the best of both worlds in terms of best practices, reproducibility and governance. It's got features like hybrid and multi-cloud deployment, integrated workflows and the ability to give data scientists the autonomy they need while keeping IT secure and compliant. It's geared for life sciences, financial services and manufacturing customers, but can be used in hybrid multi-cloud environments.
Last, Dataloop is a platform that combines data curation, model management, pipeline orchestration and human feedback to speed up AI app development. It includes data management for exploring and analyzing large amounts of unstructured data, automated preprocessing and model management for deploying and managing AI models. Dataloop supports a variety of unstructured data types and has strong security controls, so it's a good option for those who want to improve collaboration and speed up development.