Pluralis Research is pioneering Protocol Learning—an alternative to today’s closed
AI models and economically unsustainable open-source initiatives. Protocol Learning
enables collaborative model training by pooling computational resources across multiple
participants, while ensuring no single entity can obtain the complete model.
This approach
encourages genuine open participation, incentivises contributions without upfront costs, and
guarantees economic sustainability for creators. Protocol Learning relies, along other
things, on solving the open research problem of low-bandwidth, model-parallel training.
Almost no one believes this is solvable. We think it is.
Founding Scientist
Gil Avraham
Founding Scientist
Yan Zuo
Founding Scientist
Ajanthan Thalaiyasingam
Founding Scientist
Sameera Ramasinghe
Research Scientist
Violetta Shevchenko
Research Scientist
Hadi Mohaghegh Dolatabadi
Research Intern
Chamin Hewa Koneputugodage