Humana was granted a patent for a machine-learning data platform.

{
  "signal_id": "1c307e29-253e-54ca-b53e-469b8ce4bbf1",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-16T04:14:40+00:00",
  "company": {
    "name": "Humana",
    "domain": "humana.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06N 5/022",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06F 21/6218",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Data Management"
    ],
    "detail": "In August 2026 Humana patented a shared feature-generation and model-development platform for efficiently building and deploying predictive models across healthcare data workflows.",
    "summary": "Humana was granted a patent for a machine-learning data platform.",
    "event_at": "2026-08-11",
    "inventors": [
      {
        "name": "Keegan Nesbitt",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/keegannesbitt"
      },
      {
        "name": "David Christopher Mack",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/david-mack-phd-60653b8"
      },
      {
        "name": "Rajagopal Subramanian",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Brent Sundheimer",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/brentsundheimer"
      },
      {
        "name": "Xinyu Liu",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Suresh Venkatesan",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/suresh-venkatesan"
      },
      {
        "name": "Suresh Siva",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/suresh-siva-059877150"
      }
    ],
    "tech_area": "artificial intelligence / machine learning",
    "event_kind": "grant_date",
    "grant_date": "2026-08-11",
    "source_url": "https://patents.google.com/patent/US12705506",
    "cpc_primary": {
      "code": "G06N 5/022",
      "label": "Computing arrangements based on specific computational models"
    },
    "patent_title": "Machine learning platform and feature generation for efficient data processing",
    "patent_number": "US12705506",
    "uspto_assignee": "Humana Inc.",
    "patent_abstract": "A system enables agile model development to speed up innovation by data scientists. Model training and deployment are coordinated and standardized to reduce redundancy. Data is obtained for feature generation and reformatted and de-sensitized for storage. The features are stored in locations available to all models and training modules of a system so data does not need to be adjusted for new models. To generate a machine learning model, the system establishes a cohort for evaluation by the model. A model template and features for use by the model are identified. The selected template and features are used for experimentation and evaluation. Model training artifacts, such as model weights are subsequently recorded in a model store and the model scripts and settings can then be registered in a centralized database where it can be accessed for execution.",
    "precision_class": "structural",
    "invention_explanation": "A system that cleans, de-identifies, and stores reusable data features so different machine-learning models can train and launch without repeatedly reworking the same data.",
    "technologies_mentioned": [
      "machine learning",
      "feature engineering",
      "data de-identification",
      "model deployment"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/1c307e29-253e-54ca-b53e-469b8ce4bbf1 \
  -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":"humana.com","limit":20}'