Pluralis Research
Research lab developing decentralized, communication-efficient training and serving of foundation models across contributor networks
Highlights
- New on EvolcAdded 2026-11-14
About Pluralis Research
Pluralis Research is a research lab focused on decentralized AI. Its approach, called Protocol Learning, covers decentralized, communication-efficient model-parallel training of foundation models, with models developed, trained and served across networks of many participants.
The lab carries out open, multi-participant training runs and invites participants to join the planning and development of future runs. Its publications include papers at NeurIPS, ICML and ICLR, and a technical report on Agora, a decentralized pretraining system. That report describes Pluralis-8B, an 8.6B-parameter open pretraining run trained on 500B tokens across 330 contributor nodes.
Open positions are listed in San Francisco and Australia. They are mainly research roles in pre-training, post-training, decentralized training and inference verification, and geo-distributed inference, plus an ML training platform engineering role and internships.
Product: Open multi-participant training runs and research on decentralized, model-parallel training of foundation models under Protocol Learning.
Jobs at Pluralis Research
More ai & ml companies
Poetic
AI workflow automation that learns business procedures and executes complex processes for enterprisesNew on EvolcPoetiq
AI reasoning systems that improve how businesses use large language models to solve practical workflowsNew on EvolcPosh
Agentic AI platform automating customer and employee workflows for banks and credit unionsNew on EvolcPramaana Labs
Builds verification systems that make AI answers machine-checkable for high-stakes domainsNew on EvolcPreference Model
Builds reinforcement-learning training environments for AI labs developing and aligning advanced modelsNew on Evolc
Website technologies
Tools and platforms detected on this company’s website, grouped by purpose. Dates record when Evolc observed them.
Content delivery
- FastlyHigh confidence
- First detected
- Last detected
- Last checked
Detection evidence
- Response headerx-served-by
Frontend frameworks
- Next.jsHigh confidence
- First detected
- Last detected
- Last checked
Detection evidence
- Website resourcedeclared script/iframe or software asset
- ReactMedium confidence
- First detected
- Last detected
- Last checked
Detection evidence
- Related technologyimplied by Next.js
Hosting
- GitHub PagesHigh confidence
- First detected
- Last detected
- Last checked
Detection evidence
- Response headerserver
Recruiting
- AshbyMedium confidence
- First detected
- Last detected
- Last checked
Detection evidence
- Page markupsoftware structure signature
Website detection does not establish a paid subscription or company-wide use. Tools loaded after consent or sign-in may be missed. “No longer observed” does not prove the company stopped using a tool.