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Johannes Hagemann

Co-founder and Chief Technology Officer, Prime Intellect

Johannes Hagemann is a co-founder and the chief technology officer of Prime Intellect, which builds infrastructure for training and deploying open AI models. Hagemann's site describes earlier work at Aleph Alpha on a distributed training framework, and Hagemann is a co-author of the technical reports for Prime Intellect's INTELLECT-1, INTELLECT-2 and INTELLECT-3 models.12345

At a glance

Current role
Co-founder and Chief Technology Officer
Sector
Company
Work listed
3
Sources cited
8
Profile reviewed

Career

Hagemann joined Aleph Alpha in early 2022 to help build a distributed training framework. At the end of 2023, Hagemann and Vincent Weisser committed to building Prime Intellect, which Hagemann describes as a stack for open AI, from agentic models to the infrastructure used to train, fine-tune and deploy them. Hagemann's GitHub profile lists the role of co-founder and CTO.12

Research

Hagemann co-authored OpenDiLoCo (2024), an open-source framework for distributed training with low communication between sites, and the INTELLECT-1 technical report (2024) on a model trained across distributed infrastructure. Later reports include INTELLECT-2 (2025), a reasoning model trained through globally decentralized reinforcement learning, and INTELLECT-3 (2025).6345

Hagemann is also a co-author of TOPLOC (2025), a locality-sensitive hashing scheme for verifiable inference, and of METAGENE-1 (2025), a metagenomic foundation model for pandemic monitoring.78

Work and contributions

  • INTELLECT model series Open weights

    Co-author of the INTELLECT-1 (2024) and INTELLECT-2 (2025) technical reports, which describe Prime Intellect's models trained on globally distributed compute.34

  • INTELLECT-3 Open weights

    Co-author of the INTELLECT-3 technical report (2025), which describes a mixture-of-experts model post-trained with large-scale reinforcement learning.5

  • OpenDiLoCo Published research

    Co-author, with Sami Jaghouar and Jack Min Ong, of OpenDiLoCo, an open-source framework for globally distributed low-communication training.6

Timeline

  1. Joined Aleph Alpha to help build a distributed training framework.1
  2. Committed with Vincent Weisser to building Prime Intellect at the end of the year.1
  3. Co-authored OpenDiLoCo, a framework for globally distributed low-communication training.6
  4. Co-authored the INTELLECT-1 technical report.3
  5. Co-authored the TOPLOC and METAGENE-1 papers.78
  6. Co-authored the INTELLECT-2 technical report on decentralized reinforcement learning.4
  7. Co-authored the INTELLECT-3 technical report.5

Other documented roles

Roles the sources document that are not confirmed as current.

  • Worked on a distributed training framework, from early 2022, Aleph Alpha1

Where they work

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References

8 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. Johannes Hagemann — personal siteJohannes Hagemann · Official page · accessed Oct 22, 2026
  2. JohannesHa (Johannes Hagemann) on GitHubGitHub · Official page · accessed Oct 22, 2026
  3. INTELLECT-1 Technical Report (arXiv 2412.01152)arXiv · Paper · published Dec 2, 2024 · accessed Oct 22, 2026
  4. INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning (arXiv 2505.07291)arXiv · Paper · published May 12, 2025 · accessed Oct 22, 2026
  5. INTELLECT-3: Technical Report (arXiv 2512.16144)arXiv · Paper · published Dec 18, 2025 · accessed Oct 22, 2026
  6. OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training (arXiv 2407.07852)arXiv · Paper · published Jul 10, 2024 · accessed Oct 22, 2026
  7. TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference (arXiv 2501.16007)arXiv · Paper · published Jan 27, 2025 · accessed Oct 22, 2026
  8. METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring (arXiv 2501.02045)arXiv · Paper · published Jan 3, 2025 · accessed Oct 22, 2026