Synopsys was granted a patent for predicting integrated-circuit performance.

{
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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:20:05+00:00",
  "company": {
    "name": "Synopsys",
    "domain": "synopsys.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 30/398",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 30/31",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 30/27",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 30/3308",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 30/367",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Engineering",
      "Software"
    ],
    "detail": "In September 2026 Synopsys patented statistical modeling software for evaluating circuit designs during semiconductor development and verification.",
    "summary": "Synopsys was granted a patent for predicting integrated-circuit performance.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Xiang Gao",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Hursh Naik",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/hurshnaik"
      },
      {
        "name": "Bryan Charles Walsh",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Manish Sharma",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/manish-sharma-373281b6"
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12748908",
    "cpc_primary": {
      "code": "G06F 30/398",
      "label": "Electric digital data processing"
    },
    "patent_title": "Statistical graph circuit component probability model for an integrated circuit design",
    "patent_number": "US12748908",
    "uspto_assignee": "Synopsys, Inc.",
    "patent_abstract": "A system and method predicts performance of a circuit design by receiving circuit design training data and circuit design test data. The circuit design training data includes training nodes and training paths. The training paths connect the training nodes including circuit components. The circuit design test data includes a first test node and a second test node. Further, testing information is determined for the circuit components of each training path from the circuit design training data. A statistical representation of the circuit design test data is determined based on the testing information and the circuit design test data, and first test information for a test path connecting the first test node with the second test node is determined based on the statistical representation.",
    "precision_class": "structural",
    "invention_explanation": "A method that learns from circuit paths and components in past designs to estimate how a new integrated circuit will perform.",
    "technologies_mentioned": [
      "integrated-circuit design",
      "statistical modeling",
      "electronic design automation",
      "circuit simulation"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/5d11cb5c-d759-5ee8-bff9-cca5c0493844 \
  -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":"synopsys.com","limit":20}'