Nous Research
Category: AI Infrastructure
Applied AI research group developing and open-sourcing advanced Large Language Models (LLMs), datasets, and architectural improvements, exploring decentralized training. Nous Research was founded in 2023. The company is led by Jeffrey Quesnelle. Based in Decentralized/Remote. Team size: N/A. Total funding raised: $70M. Latest round: Series A. Key investors include Paradigm, Sahil Chaudhary, Vipul Ved Prakash, Balaji Srinivasan, Distributed Global, Alex Atallah.
- Founded
- 2023
- Headquarters
- Decentralized/Remote
- Team size
- N/A
- Total funding
- $70M
Value proposition
Providing high-performance, open-source alternatives to closed AI models through cutting-edge research in language modeling, data synthesis, and local inference.
Products and solutions
Open-source LLMs (e.g., Nous Hermes, Nous Capybara), Open-source datasets, Research publications
Unique value
Focus on open-source AI research and development, particularly LLMs; exploring decentralized training mechanisms potentially via crypto incentives.
Target customer
AI researchers, developers, and organizations utilizing open-source LLMs.
Industries served
Technology, AI Research & Development
Technology advantage
Community-driven model improvement via open-source, potential for more transparent and accessible AI compared to closed-source competitors, leveraging crypto-economic models for training.
How they differentiate
Primarily through its commitment to open-source models and research, exploration of decentralized/crypto-incentivized training methods.
Main competitors
OpenAI, Anthropic, Mistral AI, DeepSeek
Key partnerships
Paradigm (Investor), Collaborations within the open-source AI community (e.g., Hugging Face, EleutherAI)
Notable customers
Not applicable (Focus on open-source community users and developers)
Major milestones
Release of popular open-source LLMs (e.g., Hermes series) Securing $50M investment from Paradigm (April 2024) Establishing a strong presence in the open-source AI research community
Growth metrics
Not publicly available (Primarily tracked via model downloads, community contributions, research impact).
Market positioning
Challenger in the Generative AI/LLM space with a strong reputation within the open-source community.
Geographic focus
Global
Patents and IP
Not publicly available
About Jeffrey Quesnelle
Jeffrey Quesnelle is the co-founder and CEO of Nous Research. He holds a Master of Science in Computer Science from the University of Michigan-Dearborn and an undergraduate degree in Computer Science and Mathematics from Oakland University. His professional interests include AI, cryptocurrencies (with a focus on MEV), and theology. Before founding Nous Research, he worked as an MEV engineer at Eden Network. He is also a published researcher with numerous citations in the field of computer science.
Official website: https://nousresearch.com/