Workday was granted a patent for automated machine-learning model tuning.

{
  "signal_id": "13f5a100-0d12-5c06-a2d5-2bb58f2ea250",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:21:06+00:00",
  "company": {
    "name": "Workday",
    "domain": "workday.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06N 20/00",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06F 8/63",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06N 3/0985",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06F 2009/45562",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Cloud"
    ],
    "detail": "In September 2026 Workday patented a system for optimizing and serving machine-learning models across computing clusters, helping automate model development and deployment.",
    "summary": "Workday was granted a patent for automated machine-learning model tuning.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Volodymyr Tomenko",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/volodymyr-tomenko-9287961b"
      },
      {
        "name": "Arun Krishnaswamy",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/arun-krishnaswamy"
      },
      {
        "name": "Naveen Sundar Govindarajulu",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/naveensundarg"
      },
      {
        "name": "Narayanan Krishnaswamy",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "artificial intelligence / machine learning",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12749008",
    "cpc_primary": {
      "code": "G06N 20/00",
      "label": "Computing arrangements based on specific computational models"
    },
    "patent_title": "Automated model hyperparameter determination and serving",
    "patent_number": "US12749008",
    "uspto_assignee": "Workday, Inc.",
    "patent_abstract": "A system for automated model hyperparameter determination and serving includes an interface and a processor. The interface is configured to receive a request to determine optimal hyperparameters for a model. The processor is configured to determine a framework extension to implement the model; determine an optimization assembly to support the framework extension; determine a cluster to execute the optimization assembly; determine an optimization script for the optimization assembly; cause the cluster to execute the optimization script to determine the optimal hyperparameters; and build an optimal model using the optimal hyperparameters.",
    "precision_class": "structural",
    "invention_explanation": "A system that chooses the model framework, tuning tools, computing cluster, and optimization instructions needed to find effective settings automatically.",
    "technologies_mentioned": [
      "machine learning",
      "hyperparameter optimization",
      "model serving",
      "computing clusters"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/13f5a100-0d12-5c06-a2d5-2bb58f2ea250 \
  -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":"workday.com","limit":20}'