
Pluralis
Protocol for decentralized training and ownership of foundation models.
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Pluralis is focused on developing a protocol that enables decentralized training and ownership of foundation models. The company operates in the field of artificial intelligence and machine learning, targeting clients who are interested in leveraging decentralized systems for model training. Pluralis's business model revolves around creating a framework that allows for collaborative and distributed model development, which can be particularly appealing to organizations looking to reduce reliance on centralized data processing. Revenue generation is likely tied to licensing the protocol or offering consulting services to entities seeking to implement decentralized training methodologies. The team comprises former FAANG research scientists, bringing a wealth of experience to the project.
Keywords: decentralized, protocol, training, ownership, foundation models, AI, machine learning, FAANG, collaborative, distributed