
Pluralis Research enables organizations and communities to collaboratively train and own large foundation models using a decentralized protocol. It provides a protocol-level framework for decentralized training, contribution tracking, and shared ownership of model weights and checkpoints. The company focuses on open-source foundation models and collaborative workflows, combining peer-to-peer coordination with cryptographic provenance for contributions. Pluralis Research is an AI protocol startup targeting teams and institutions that need governed, decentralized model training and ownership.

Pluralis Research enables organizations and communities to collaboratively train and own large foundation models using a decentralized protocol. It provides a protocol-level framework for decentralized training, contribution tracking, and shared ownership of model weights and checkpoints. The company focuses on open-source foundation models and collaborative workflows, combining peer-to-peer coordination with cryptographic provenance for contributions. Pluralis Research is an AI protocol startup targeting teams and institutions that need governed, decentralized model training and ownership.
Core focus: Decentralized, multi‑participant training of foundation models (Protocol Learning)
Founded: 2024
Headcount (approx.): 16
Notable investors: CoinFund, Union Square Ventures, Amazon Web Services, Balaji Srinivasan
Total funding reported: USD 8,600,000
Decentralized/federated training of large language models and governance of shared model ownership.
2024
Data and Analytics
Seed announced March 19, 2025; some sources report lead investors as CoinFund and Union Square Ventures
“Includes institutional crypto/VC and notable individual investors (e.g., CoinFund, Union Square Ventures, Amazon Web Services, Balaji Srinivasan, Clem Delangue, Variant, Eden Block, Bodhi Ventures, topology)”
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Pluralis Research works on Protocol Learning— training large models in a fully decentralised way on small consumer-grade devices connected via the internet. Despite being dismissed as infeasible, we have made significant advances on this problem, most recently training an 8B llama model from scratch with devices in physically different regions.
Overview Pluralis Research is building foundational systems for decentralised model training. As a Senior or Staff Frontend Engineer focused on Visualisation and UX, you’ll shape how users interact with distributed training systems — translating complex infrastructure into intuitive, high-fidelity interfaces.
You’ll work closely with research and product teams to design, build, and refine interactive tools that make large-scale model training legible, visual, and accessible.
Responsibilities
What We're Looking For
Nice to Have
Not Preferred
FYI’s
Backed by Union Square Ventures and other tier-1 investors , we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please apply.