Flower

Flower, maintained by Flower Labs, enables federated AI development — training models across decentralized data sources without centralizing the underlying data — backed by MIT, Harvard, University of Cambridge, TUM, Mozilla, J.P. Morgan, and the NHS. The platform includes Flower Agent (a collaborative AI agent framework), Flower Model (a proprietary LLM offering), Flower SuperGrid (federated AI deployment infrastructure), and Flower Hub (a community ecosystem for developers). With 7,000+ GitHub stars, 7,000+ community developers, and 2,500+ ecosystem projects, plus an official DeepLearning.AI course with Andrew Ng, it has real, checkable institutional and educational traction. The core framework is open source; premium services are available through direct consulting ("Work with us"), with pricing not published on the main page. Good fit for an organization (healthcare, finance, research) that needs to train AI models across sensitive, decentralized data sources without centralizing that data in one place.