Invisible Holdings was granted a patent for AI-powered object search.

{
  "signal_id": "d48a4f7c-279d-5774-be1b-35690acb1ec0",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-15T03:16:57+00:00",
  "company": {
    "name": "Invisible Technologies",
    "domain": "invisibletech.ai"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 16/2425",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/243",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 40/284",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Language Technology",
      "Search"
    ],
    "detail": "In September 2026 Invisible Holdings patented a system for turning descriptions of objects into searchable, generated information for digital discovery tools.",
    "summary": "Invisible Holdings was granted a patent for AI-powered object search.",
    "event_at": "2026-09-08",
    "inventors": [
      {
        "name": "Raymond Francis St. Martin",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Andrew Lee Van Valer",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-08",
    "source_url": "https://patents.google.com/patent/US12730799",
    "cpc_primary": {
      "code": "G06F 16/2425",
      "label": "Electric digital data processing"
    },
    "patent_title": "Interactive search and generation system for social identity of objects data using large language model(s)",
    "patent_number": "US12730799",
    "uspto_assignee": "Invisible Holdings LLC",
    "patent_abstract": "Machine learning based processing systems and techniques are described. In some examples, a machine learning based processing system analyzes text-based input to extract a plurality of natural language elements from the text-based input. The text-based input is associated with an object. The machine learning based processing system generates a prompt from at least a subset of the plurality of natural language elements. The machine learning based processing system analyzes the prompt by using a trained machine learning model to generate a response. The response is responsive to the prompt. The machine learning based processing system analyzes the response to extract a plurality of media content elements from the response. The plurality of media content elements corresponds to different aspects of the object.",
    "precision_class": "structural",
    "invention_explanation": "A system that extracts meaningful phrases from an object description, builds a question from them, and uses a language model to find or create relevant results.",
    "technologies_mentioned": [
      "large language models",
      "machine learning",
      "natural language processing",
      "search"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/d48a4f7c-279d-5774-be1b-35690acb1ec0 \
  -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":"invisibletech.ai","limit":20}'