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Nous Research

Private

Open-Source AI

Founded 2023New York, NY~30 employees
Website

Valuation

~$1B (2025)

Total Funding

$50M+

Profit Status

Research-stage

Employees

~30

About Nous Research

Nous Research is an applied AI research organization focused on open-source large language models, decentralized training, and human-aligned agents. Known for its widely used Hermes model series (fine-tuned open models), it also pioneers distributed training methods like DisTrO and Psyche that let models be trained across the internet rather than in a single data center. Nous has a strong following in the open-source and crypto-adjacent AI communities.

Company History

Founded 2023 as a collective building open-source models, Nous Research gained prominence for its Hermes fine-tunes of Llama and other base models. It pioneered decentralized and bandwidth-efficient distributed training (DisTrO, then the Psyche network), demonstrating large-model pretraining across geographically distributed hardware. In 2025 Nous raised a reported $50M round led by Paradigm at around a $1B valuation, cementing its role as a leading open-source and decentralized AI lab.

Company Timeline

  • 2023

    Founded; released early Hermes open-source fine-tunes

  • 2024

    Introduced DisTrO for bandwidth-efficient distributed training

  • 2025

    $50M round led by Paradigm at ~$1B valuation; Psyche network launched

Products & Services

Hermes model seriesDisTrO / Psyche (distributed training)Nous ChatForge API

Company Details

Focus Area

Open-Source AI

Stage

Private

Founded

2023

Headquarters

New York, NY

Employees

~30

Financial Overview

Total Funding

$50M+

Valuation

~$1B (2025)

Profit Status

Research-stage

Funding Rounds

  • Seed$5.2M
    2024Distributed Global, OSS Capital
  • Series A$50M
    2025Paradigm, ~$1B valuation

Key Investors

ParadigmNorth Island VenturesDistributed Global

Key People

  • Jeffrey Quesnelle (CEO, co-founder)
  • Karan Malhotra (co-founder)

Tags

Open-Source
LLM
Decentralized Training
Fine-Tuning
Agents