AT&T was granted a patent for AI-powered network issue resolution.

{
  "signal_id": "1dc2a4bc-6692-5eec-8e8d-d08e2337af19",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-21T16:16:39+00:00",
  "company": {
    "name": "AT&T",
    "domain": "att.com"
  },
  "data": {
    "cpc": [
      {
        "code": "H04L 41/0654",
        "label": "Transmission of digital information"
      },
      {
        "code": "H04L 41/0627",
        "label": "Transmission of digital information"
      },
      {
        "code": "H04L 41/12",
        "label": "Transmission of digital information"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Telecom"
    ],
    "detail": "In October 2026 AT&T patented technology for identifying and fixing network problems across telecommunications infrastructure.",
    "summary": "AT&T was granted a patent for AI-powered network issue resolution.",
    "event_at": "2026-10-20",
    "inventors": [
      {
        "name": "Lucus Haugen",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/lucus-haugen"
      },
      {
        "name": "Lakshmanan Ravichandran",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/lakshmanan-ravichandran33"
      },
      {
        "name": "Shimona Kavdia",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/shimona-kavdia"
      }
    ],
    "tech_area": "networking / data transmission",
    "event_kind": "grant_date",
    "grant_date": "2026-10-20",
    "source_url": "https://patents.google.com/patent/US12771594",
    "cpc_primary": {
      "code": "H04L 41/0654",
      "label": "Transmission of digital information"
    },
    "patent_title": "Apparatuses and methods for identifying and disseminating information pertaining to issues in networks and systems utilizing machine learning and artificial intelligence",
    "patent_number": "US12771594",
    "uspto_assignee": "AT&T Intellectual Property I, L.P.",
    "patent_abstract": "Aspects of the subject disclosure may include, for example, obtaining a plurality of alarms associated with a network, correlating the plurality of alarms to data that identifies a topology of the network to obtain a plurality of correlated events, applying a model that is based on machine learning to the plurality of correlated events to generate an extended correlated event, identifying a solution to the extended correlated event, and implementing the solution as part of the network. Other embodiments are disclosed.",
    "precision_class": "structural",
    "invention_explanation": "A system that groups network alarms by topology, uses machine learning to understand the underlying problem, and applies a recommended fix.",
    "technologies_mentioned": [
      "network monitoring",
      "machine learning",
      "artificial intelligence",
      "network automation"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/1dc2a4bc-6692-5eec-8e8d-d08e2337af19 \
  -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":"att.com","limit":20}'