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Prime Intellect

Private

Decentralized Training

Founded 2024San Francisco, CA~20 employees
Website

Valuation

Undisclosed

Total Funding

$20M+

Profit Status

Early-stage

Employees

~20

About Prime Intellect

Prime Intellect is a decentralized AI compute and training platform building toward open, distributed artificial intelligence. It aggregates GPU compute from many providers and pioneers globally distributed model training, having produced INTELLECT-1 and INTELLECT-2 — some of the largest models ever trained across geographically separated hardware. Its mission is to make frontier-scale training accessible outside centralized data centers.

Company History

Founded 2024 by Vincent Weisser and Johannes Hagemann to democratize AI development through decentralized compute and training. In late 2024 it trained INTELLECT-1, a 10B-parameter model, across globally distributed hardware, followed by INTELLECT-2, a 32B reinforcement-learning model trained on a permissionless distributed network. The company raised a $15M round (2025) led by Founders Fund to expand its compute marketplace and open distributed-training stack.

Company Timeline

  • 2024

    Founded; trained INTELLECT-1 across globally distributed hardware

  • 2025

    Released INTELLECT-2, a 32B model trained via permissionless distributed RL

  • 2025

    $15M Series A led by Founders Fund

Products & Services

Prime Intellect Compute MarketplaceINTELLECT-1INTELLECT-2prime (distributed training framework)

Company Details

Focus Area

Decentralized Training

Stage

Private

Founded

2024

Headquarters

San Francisco, CA

Employees

~20

Financial Overview

Total Funding

$20M+

Valuation

Undisclosed

Profit Status

Early-stage

Funding Rounds

  • Seed$5.5M
    2024CoinFund, Compound
  • Series A$15M
    2025Founders Fund, Menlo Ventures

Key Investors

Founders FundMenlo VenturesCoinFund

Key People

  • Vincent Weisser (CEO, co-founder)
  • Johannes Hagemann (co-founder)

Competitive Landscape

Tags

Decentralized Training
Compute
Open-Source
Distributed Systems
GPU