{
  "schema_version": "1.2.0",
  "rubric_version": "1.1",
  "license": "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)",
  "record": {
    "id": "O-0215",
    "slug": "openmined",
    "title": "OpenMined",
    "aliases": [],
    "status": "published",
    "last_reviewed": "2026-09-25",
    "review_interval_days": 90,
    "steward": null,
    "provenance": {
      "drafted_by": "ai",
      "reviewed_by": [
        "codex-review"
      ]
    },
    "risk_flags": [],
    "flags": [
      "provider-reported"
    ],
    "kind": "nonprofit",
    "homepage": "https://openmined.org/",
    "one_liner": "A nonprofit developing PySyft, software for joint analysis of private data, including confidential AI evaluations.",
    "sources": [
      {
        "source": "S-3564",
        "supports": "nonprofit status, open-source software for secure work across organizations, PySyft research agreement",
        "locator": "first paragraph"
      },
      {
        "source": "S-3563",
        "supports": "nonprofit status, PySyft development and role in double-blind evaluations",
        "locator": "Executive Summary; Details of the pilots; page footer"
      },
      {
        "source": "S-3320",
        "supports": "PySyft in the 2026 pilot and OpenMined author affiliations",
        "locator": "abstract; §2.5; §3"
      }
    ],
    "type": "organization",
    "url": "https://trustbutveri.fyi/organizations/openmined/",
    "source_file": "content/organizations/openmined.md",
    "flags_all": [
      "provider-reported"
    ],
    "body_markdown": "OpenMined is a nonprofit that develops open-source software for work across private datasets [[S-3564]]. Its work on this map is [[I-0017|PySyft double-blind evaluations]]:\n\n- OpenMined reports that PySyft coordinated the submission, approval and execution of private code and assets in GPU enclaves for 2026 evaluations by AVERI and Singapore AISI [[S-3563]].\n- The pilot's technical report describes a run of Gemini 2.5 Flash Lite on private MLCommons AILuminate prompts in a Google Cloud confidential VM with an H100, using PySyft v0.10.x [[S-3320]].",
    "body_text": "OpenMined is a nonprofit that develops open-source software for work across private datasets [S-3564]. Its work on this map is PySyft double-blind evaluations: - OpenMined reports that PySyft coordinated the submission, approval and execution of private code and assets in GPU enclaves for 2026 evaluations by AVERI and Singapore AISI [S-3563]. - The pilot's technical report describes a run of Gemini 2.5 Flash Lite on private MLCommons AILuminate prompts in a Google Cloud confidential VM with an H100, using PySyft v0.10.x [S-3320].",
    "referenced_by": [
      {
        "id": "M-0025",
        "title": "Confidential multi-party verification",
        "url": "https://trustbutveri.fyi/mechanisms/confidential-multi-party-verification/"
      },
      {
        "id": "I-0017",
        "title": "PySyft double-blind evaluations",
        "url": "https://trustbutveri.fyi/implementations/pysyft-double-blind-evaluations/"
      },
      {
        "id": "S-3563",
        "title": "PySyft used for first double-blind evaluation of a proprietary, frontier-class AI model",
        "url": "https://trustbutveri.fyi/sources/openmined-double-blind-evaluation/"
      },
      {
        "id": "S-3320",
        "title": "Double Blind Evals: Resolving the Dual Confidentiality Dilemma in AI Safety Auditing",
        "url": "https://trustbutveri.fyi/sources/trask-double-blind-evals/"
      }
    ]
  }
}