CME was granted a patent for low-latency trading risk controls.

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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:22:49+00:00",
  "company": {
    "name": "CME",
    "domain": "cmegroup.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06Q 40/04",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 40/044",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 40/045",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 40/0421",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Finance",
      "Risk",
      "Financial Systems"
    ],
    "detail": "In September 2026 CME patented a system for managing credit and risk limits across geographically distributed financial trading venues.",
    "summary": "CME was granted a patent for low-latency trading risk controls.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Michael S. Merold",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Venkatesh Hegde",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Matthew Morano",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Francis B. Bakalar",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/francis-bernie-bakalar-cfa-b511264"
      },
      {
        "name": "Brian G. Dugdale",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Indira P. Sinha",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Stanislav Liberman",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/stanliberman"
      },
      {
        "name": "Michal Sheves",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/michalsheves"
      }
    ],
    "tech_area": "business methods / CRM / fintech",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12749115",
    "cpc_primary": {
      "code": "G06Q 40/04",
      "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
    },
    "patent_title": "Low latency regulation of distributed transaction processing in accordance with centralized demand-based dynamically reallocated limits",
    "patent_number": "US12749115",
    "uspto_assignee": "Chicago Mercantile Exchange Inc.",
    "patent_abstract": "The disclosed embodiments relate to systems/methods for low latency regulation of distributed, e.g., geographically and/or logically, transaction processing, such as trading of financial instruments, in accordance with centralized demand-based dynamically reallocated post-trade-based limits, e.g., credit/risk limits. In particular, the disclosed embodiments relate to monitoring credit demand across execution venues, as opposed to actual utilization, and, based thereon, modifying execution specific limits to reallocate of portions of a credit/risk allotment, such as a credit/risk limit, to multiple execution venues for use in approving transactions, which may implement order driven and/or quote driven markets, so as to dynamically rebalance the allocations to the execution venues based on demand/need, rather than utilization, thereby avoiding having to mitigate latencies in determining and responding to utilization. In addition, the disclosed embodiments may maximize the total available amount for reallocation by recognizing inter-execution venue limit offsetting positions, i.e., trades, during the rebalancing process.",
    "precision_class": "structural",
    "invention_explanation": "A central controller watches expected credit demand at different trading locations and quickly shifts their post-trade limits before transactions are processed.",
    "technologies_mentioned": [
      "financial trading systems",
      "risk management",
      "distributed transaction processing",
      "low-latency computing"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/133897ea-9578-5b4c-a85a-07bd613602a6 \
  -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":"cmegroup.com","limit":20}'