FIS was granted a patent for machine-learning transaction engagement.

{
  "signal_id": "2e1a2a77-74de-5fe1-83c5-e715e84d492c",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-23T15:08:20+00:00",
  "company": {
    "name": "FIS",
    "domain": "fisglobal.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06Q 20/4014",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06N 20/00",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06Q 20/389",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 20/4016",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Financial Transactions"
    ],
    "detail": "In September 2026 FIS patented technology for tailoring payment interactions across identity and funding providers at digital points of engagement.",
    "summary": "FIS was granted a patent for machine-learning transaction engagement.",
    "event_at": "2026-09-22",
    "inventors": [
      {
        "name": "Stephane Wyper",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/stephanewyper"
      },
      {
        "name": "James Clayton",
        "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/US12743695",
    "cpc_primary": {
      "code": "G06Q 20/4014",
      "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
    },
    "patent_title": "Methods, systems, and devices for machine learning-based contextual engagement decision engine",
    "patent_number": "US12743695",
    "uspto_assignee": "FIDELITY INFORMATION SERVICES, LLC",
    "patent_abstract": "A system for processing a transaction at a point of engagement comprising receiving an input interaction from a user, communicating with a plurality of identity providers to validate an identity of the user, communicating with a plurality of payment providers to collect available payment or funding options, mapping the input interaction to an output interaction, and performing a transaction that reflects the mapping of the input interaction to the output interaction.",
    "precision_class": "structural",
    "invention_explanation": "A decision engine verifies the user, checks available ways to pay, and converts the initial request into the transaction response best suited to that interaction.",
    "technologies_mentioned": [
      "machine learning",
      "payment processing",
      "identity verification",
      "transaction systems"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/2e1a2a77-74de-5fe1-83c5-e715e84d492c \
  -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":"fisglobal.com","limit":20}'