KPMG was granted a patent for AI-enabled fraud analysis.

{
  "signal_id": "220015ea-4c77-57c5-ab01-d3a88eaad4ae",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-23T15:08:26+00:00",
  "company": {
    "name": "KPMG",
    "domain": "kpmg.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06Q 30/0185",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06N 20/00",
        "label": "Computing arrangements based on specific computational models"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Fraud Protection",
      "Analytics & Insights"
    ],
    "detail": "In September 2026 KPMG patented a financial-risk assessment tool for evaluating companies and comparing their fraud indicators with peer organizations.",
    "summary": "KPMG was granted a patent for AI-enabled fraud analysis.",
    "event_at": "2026-09-22",
    "inventors": [
      {
        "name": "Jan Gelke",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/jan-gelke-6104967"
      },
      {
        "name": "Jon Gray",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Sebastian Stockle",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/sebastianstoeckle"
      },
      {
        "name": "Dennis Triepke",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "business methods / CRM / fintech",
    "event_kind": "grant_date",
    "grant_date": "2026-09-22",
    "source_url": "https://patents.google.com/patent/US12743707",
    "cpc_primary": {
      "code": "G06Q 30/0185",
      "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
    },
    "patent_title": "AI-enabled fraud analysis",
    "patent_number": "US12743707",
    "uspto_assignee": "KPMG International Services Ltd.",
    "patent_abstract": "Methods, apparatus, and computer program products described herein provide for calculation of a score representative of the risk of fraud by a target entity. A set of financial ratios, lens model scores, risk area scores, and academic scores are all calculated in relation to the target entity and a group of peer entities. These calculated scores are all indicative of the risk of fraud by the target entity. The calculated scores and other market data related to the target entity are displayed to a user to evaluate the risk of fraud by the target entity.",
    "precision_class": "structural",
    "invention_explanation": "A system that combines financial ratios, risk scores, academic information, and market data to estimate how likely a company is to commit fraud.",
    "technologies_mentioned": [
      "fraud analytics",
      "artificial intelligence",
      "financial risk scoring",
      "peer benchmarking"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/220015ea-4c77-57c5-ab01-d3a88eaad4ae \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"kpmg.com","limit":20}'