{
  "id": "AIBD-0251",
  "title": "Orca AI's watchkeeping may have cut high-severity close encounters 52% across 139 container ships in its first year",
  "summary": "Riviera and Hellenic Shipping News (16 Apr 2026): the P&I club and Orca AI analyzed 10.8 million nautical miles; high-severity close encounters fell from 2.7 to 1.3 per vessel-month between months ...",
  "date_observed": "2026-04-15",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "Trade reports published on 15 and 16 Apr 2026 describe a study by the protection and indemnity insurer NorthStandard with Orca AI. The reports are MarineLink, Riviera Maritime Media's Martyn Wingrove, and Hellenic Shipping News reproducing Orca AI's release. The study covered a globally operating cohort of 139 container vessels fitted with Orca AI's navigation platform. Across more than 10.8 million nautical miles, it compared the first three months after installation with months 10 to 12. It reported a 52% reduction in high-severity close encounters, with 22% within the first six months. The reduction was 36% in the North and Baltic Seas and 18% in the seas around China and Japan. Encounters were defined by closest point of approach, time to closest point of approach, COLREGs interactions and traffic density. Orca AI's report page states that such encounters declined from 2.7 per vessel per month early after implementation to 1.3 by months 10 to 12. NorthStandard's head of loss prevention Colin Gillespie and Orca AI's chief executive Yarden Gross are quoted. The design is a before-and-after comparison on the same vessels with no control fleet, and the report is hosted by the vendor.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Orca AI's platform is built to give bridge teams AI-assisted situational awareness and earlier detection of risky targets.",
  "system": "Orca AI navigation platform (digital watchkeeper modules and software)",
  "model_version": "Orca AI SeaPod digital watchkeeper",
  "developer": "Orca AI",
  "deployer": "Operators of 139 container vessels insured with NorthStandard",
  "location": null,
  "domain": "Maritime safety",
  "segment": "Commercial shipping / navigational decision support",
  "benefit_type": "Increased Product Safety",
  "taxonomy_note": "The metric is close encounters rather than collisions.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "organizational",
      "depth": null,
      "reason": "Aggregate change in a proxy metric; no collision, claim or cost outcome is documented."
    },
    {
      "group": "societal",
      "depth": null,
      "reason": "No outcome beyond the proxy metric is documented."
    },
    {
      "group": "personal",
      "depth": null,
      "reason": "No individual outcome is documented."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The platform's detections feed bridge decisions. The reported reduction compares the same vessels early and late in their first year. Crew familiarization, seasonality and route changes are not separated from the system's effect."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Wingrove M (16 Apr 2026). NorthStandard study demonstrates benefits of AI navigation support. Riviera Maritime Media.",
      "title": "NorthStandard study demonstrates benefits of AI navigation support",
      "url": "https://www.rivieramm.com/news-content-hub/news-content-hub/northstandard-study-demonstrates-benefits-of-ai-navigation-support-88473",
      "date": "2026-04-16",
      "written_by": "independent",
      "quote": "NorthStandard P&I club undertook a 12-month study with Orca AI, using its AI navigation services for a cohort of 139 container vessels."
    },
    {
      "kind": "press release",
      "citation": "Hellenic Shipping News (16 Apr 2026). Joint Orca AI-NorthStandard study highlights strong impact of AI on navigational safety (source credited as Orca AI).",
      "title": "Joint Orca AI-NorthStandard study highlights strong impact of AI on navigational safety",
      "url": "https://www.hellenicshippingnews.com/joint-orca-ai-northstandard-study-highlights-strong-impact-of-ai-on-navigational-safety/",
      "date": "2026-04-16",
      "written_by": "makers",
      "quote": "What we’re seeing through our work with Orca AI, and now reinforced by this study, is that improved situational awareness and earlier risk detection can materially reduce close-quarters situations."
    },
    {
      "kind": "news report",
      "citation": "MarineLink / Maritime Activity Reports (15 Apr 2026). Study From Orca AI, NorthStandard Highlights Role of AI on Navigational Safety.",
      "title": "Study From Orca AI, NorthStandard Highlights Role of AI on Navigational Safety",
      "url": "https://www.marinelink.com/news/study-orca-ai-northstandard-highlights-538079",
      "date": "2026-04-15",
      "written_by": "independent",
      "quote": "The study examined more than 10.8 million nautical miles of voyages, comparing the initial system adaptation period (first three months after installation) with the stabilized usage phase (months 10–12)."
    },
    {
      "kind": "press release",
      "citation": "Orca AI (2026). Orca AI and NorthStandard Safety Report (report landing page).",
      "title": "Orca AI and NorthStandard Safety Report",
      "url": "https://www.orca-ai.io/reports/safetyreport/",
      "date": null,
      "written_by": "makers",
      "quote": "High-severity close encounters declined from 2.7 per vessel per month in the early post-implementation phase to 1.3 by months 10–12 - a 52% reduction."
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents and Hazards Monitor, incident 2026-04-15-b7a4: AI Navigation System Reduces Maritime Near Misses by 52%.",
      "title": "AI Navigation System Reduces Maritime Near Misses by 52%",
      "url": "https://oecd.ai/en/incidents/2026-04-15-b7a4",
      "date": "2026-04-15",
      "written_by": "independent",
      "quote": "deploying Orca AI's navigation platform on 139 container vessels led to a 52% reduction in high-severity close encounters over 12 months"
    },
    {
      "kind": "report",
      "citation": "Orca AI and NorthStandard (Mar 2026). Orca AI and NorthStandard Safety Report: Orca AI's impact on navigational safety.",
      "title": "Orca AI and NorthStandard Safety Report",
      "url": "https://d3cpegos94401u.cloudfront.net/publications/documents/orca-ai-&-northstandard-safety-report---final.pdf",
      "date": null,
      "written_by": "makers",
      "quote": null
    }
  ],
  "replication": {
    "produced_by": [
      "Fleet-wide installation of a sensor-and-software watchkeeping platform",
      "Twelve months of anonymized operational data per vessel",
      "An insurer willing to analyze member-fleet data"
    ],
    "must_hold": [
      "Crews keep using the system after the adaptation phase",
      "The close-encounter definition stays constant across the comparison",
      "Routes and traffic density are comparable between periods"
    ],
    "echoes": [
      {
        "date": "2020-04-15",
        "setting": "Shore-side AI collision-risk prediction at the Tokyo Wan VTS Center: warnings about two minutes earlier in simulated tasks (Maritime Executive)",
        "model_version": null,
        "outcome": "unknown",
        "source": "https://www.maritime-executive.com/article/ai-system-tested-by-tokyo-bay-vessel-traffic-controllers"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Orca AI may have cut high-severity close encounters by 52%",
  "metric": "high-severity close encounters fell from 2.7 to 1.3 per vessel-month",
  "comparator": {
    "against": "the same vessels' first three months after installation (early post-implementation phase), no control fleet",
    "before": "2.7 per vessel per month in the early post-implementation phase",
    "after": "1.3 by months 10–12 - a 52% reduction",
    "basis": "measured",
    "quote": "High-severity close encounters declined from 2.7 per vessel per month in the early post-implementation phase to 1.3 by months 10–12 - a 52% reduction.",
    "url": "https://www.orca-ai.io/reports/safetyreport/"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No development after the report of 15 April 2026 is established. The vendor's October 2025 post predates it.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United Kingdom",
  "deployer_country": null,
  "unrated_because": null,
  "brief_notes": null,
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  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Headline reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Title reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against, the model version from the cited sources.",
      "source": "https://www.orca-ai.io/reports/safetyreport/; https://d3cpegos94401u.cloudfront.net/publications/documents/orca-ai-&-northstandard-safety-report---final.pdf",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://www.orca-ai.io/contact",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
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  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
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                "source": "https://www.orca-ai.io/reports/safetyreport/; https://d3cpegos94401u.cloudfront.net/publications/documents/orca-ai-&-northstandard-safety-report---final.pdf",
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              {
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              },
              {
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              {
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                "written_by": "makers",
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        "value": {
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            "summary": "Riviera and Hellenic Shipping News (16 Apr 2026): the P&I club and Orca AI analyzed 10.8 million nautical miles; high-severity close encounters fell from 2.7 to 1.3 per vessel-month between months ...",
            "account": "Trade reports published on 15 and 16 Apr 2026 describe a study by the protection and indemnity insurer NorthStandard with Orca AI. The reports are MarineLink, Riviera Maritime Media's Martyn Wingrove, and Hellenic Shipping News reproducing Orca AI's release. The study covered a globally operating cohort of 139 container vessels fitted with Orca AI's navigation platform. Across more than 10.8 million nautical miles, it compared the first three months after installation with months 10 to 12. It reported a 52% reduction in high-severity close encounters, with 22% within the first six months. The reduction was 36% in the North and Baltic Seas and 18% in the seas around China and Japan. Encounters were defined by closest point of approach, time to closest point of approach, COLREGs interactions and traffic density. Orca AI's report page states that such encounters declined from 2.7 per vessel per month early after implementation to 1.3 by months 10 to 12. NorthStandard's head of loss prevention Colin Gillespie and Orca AI's chief executive Yarden Gross are quoted. The design is a before-and-after comparison on the same vessels with no control fleet, and the report is hosted by the vendor."
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          "source_refs": []
        },
        "review_state": "record_mapped",
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        "coverage": "partial"
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        "value": {
          "kind": "text",
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        "provenance": {
          "kind": "legacy_record",
          "basis": "Restated the mechanical task already described in the existing system and AI-role fields. No new source review is claimed.",
          "record_fields": [
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The vessel used Orca AI’s SeaPod system."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Separated the model, software, hardware, or operation already described in the existing record. No new source review is claimed.",
          "record_fields": [
            "model_version",
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "model_version": "Orca AI SeaPod digital watchkeeper"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "model_version"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "Exact release not established.",
          "editor_note": ""
        }
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "Orca AI navigation platform (digital watchkeeper modules and software)"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "system"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "Orca AI"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "developer"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "Orca AI's watchkeeping may have cut high-severity close encounters 52% across 139 container ships in its first year",
            "headline": "Orca AI may have cut high-severity close encounters by 52%"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "version": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "3e2ae9be39315bbb7ce89e6cf4892315109aaf1fac6e2d44cfac2c982c9674f6"
          ],
          "role": "SHA-256 of normalized original case data"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "Trade reports published on 15 and 16 Apr 2026 describe a study by the protection and indemnity insurer NorthStandard with Orca AI. The reports are MarineLink, Riviera Maritime Media's Martyn Wingrove, and Hellenic Shipping News reproducing Orca AI's release. The study covered a globally operating cohort of 139 container vessels fitted with Orca AI's navigation platform. Across more than 10.8 million nautical miles, it compared the first three months after installation with months 10 to 12. It reported a 52% reduction in high-severity close encounters, with 22% within the first six months. The reduction was 36% in the North and Baltic Seas and 18% in the seas around China and Japan. Encounters were defined by closest point of approach, time to closest point of approach, COLREGs interactions and traffic density. Orca AI's report page states that such encounters declined from 2.7 per vessel per month early after implementation to 1.3 by months 10 to 12. NorthStandard's head of loss prevention Colin Gillespie and Orca AI's chief executive Yarden Gross are quoted. The design is a before-and-after comparison on the same vessels with no control fleet, and the report is hosted by the vendor.",
            "replication": {
              "produced_by": [
                "Fleet-wide installation of a sensor-and-software watchkeeping platform",
                "Twelve months of anonymized operational data per vessel",
                "An insurer willing to analyze member-fleet data"
              ],
              "must_hold": [
                "Crews keep using the system after the adaptation phase",
                "The close-encounter definition stays constant across the comparison",
                "Routes and traffic density are comparable between periods"
              ],
              "echoes": [
                {
                  "date": "2020-04-15",
                  "setting": "Shore-side AI collision-risk prediction at the Tokyo Wan VTS Center: warnings about two minutes earlier in simulated tasks (Maritime Executive)",
                  "outcome": "unknown",
                  "source": "https://www.maritime-executive.com/article/ai-system-tested-by-tokyo-bay-vessel-traffic-controllers"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 31,
      "reviewed": 0,
      "record_mapped": 31,
      "not_assessed": 60,
      "complete": false,
      "by_state": {
        "value_present": 31,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 60,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}
