Citibank was granted a patent for resource-aware AI model selection.

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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-17T19:58:31+00:00",
  "company": {
    "name": "Citi",
    "domain": "citi.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 11/3419",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 9/5055",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Software"
    ],
    "detail": "In July 2026 Citibank patented technology for choosing AI models based on computing resources and expected output requirements in digital applications.",
    "summary": "Citibank was granted a patent for resource-aware AI model selection.",
    "event_at": "2026-07-14",
    "inventors": [
      {
        "name": "Sourabh Deb",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/sourabhdeb"
      },
      {
        "name": "Jason Engelbrecht",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Zheyu Wang",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/zywang"
      },
      {
        "name": "Haolin Jin",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Payal Jain",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Tariq Husayn Maonah",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Mariusz Saternus",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Daniel Lewandowski",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-07-14",
    "source_url": "https://patents.google.com/patent/US12681830",
    "cpc_primary": {
      "code": "G06F 11/3419",
      "label": "Electric digital data processing"
    },
    "patent_title": "Dynamic system resource-sensitive model software and hardware selection",
    "patent_number": "US12681830",
    "uspto_assignee": "CITIBANK. N.A.",
    "patent_abstract": "The systems and methods disclosed herein enable the dynamic selection of one or more AI models to generate an output in response to an input. The system receives, from a computing device, an output generation request including an input for the generation of an output using one or more models from a plurality of models. The system generates expected values for a set of output attributes of the output generation request. For each particular model in the plurality of models, the system determines the capabilities of the particular model, and dynamically select a subset of models from the plurality of models. The system dynamically selects a subset of available system resources to process the input included in the output generation request. The system generates the output by processing the input included in the output generation request using the selected subset of available system resources.",
    "precision_class": "structural",
    "invention_explanation": "A system that compares available AI models with the task and current hardware limits, then selects the best fit to produce the requested result.",
    "technologies_mentioned": [
      "artificial intelligence",
      "machine learning models",
      "resource management",
      "software selection"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/61319865-3c5b-5084-b935-9012f53e082e \
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curl -X POST https://signals.autobound.ai/v1/companies/enrich \
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  -d '{"domain":"citi.com","limit":20}'