Flower Labs is thrilled to announce that it has successfully raised $20 million in its latest funding round, a significant milestone that underscores the growing demand for privacy-enhancing technologies in artificial intelligence. As the leading open-source framework dedicated to training better AI on distributed data through federated learning, Flower is at the forefront of an exciting revolution within the tech landscape. Industry giants from diverse sectors—including telecommunications (Nokia), healthcare (Korean AI Center for Drug Discovery), finance (a stealth project), automotive (Porsche), and personal computing (Brave)—are already leveraging the Flower platform to foster collaboration in model training. This latest investment will be instrumental in further enhancing our capabilities, allowing us to expedite the development of innovative solutions that unlock the potential of distributed private data. By championing privacy in AI, we aim to transform high-value verticals and demonstrate the untapped possibilities of using comprehensive datasets beyond public domain information. With this fresh infusion of capital, Flower Labs is poised to expand its technological infrastructure, enhance our community-driven efforts, and pioneer the future of decentralized AI practices. As we embark on this next chapter, we remain focused on empowering enterprises and researchers to collaborate seamlessly, paving the way for AI systems that not only respect privacy but are also significantly more accurate and effective. The future of AI is not just in the cloud—it’s in the vast, invisible networks of private data waiting to be utilized responsibly. Stay tuned as we unveil new developments in our mission to revolutionize AI through privacy!









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