Roku was granted a patent for multimodal content-asset quality management

{
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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:41:12+00:00",
  "company": {
    "name": "Roku",
    "domain": "roku.com"
  },
  "data": {
    "cpc": [
      {
        "code": "H04N 21/482",
        "label": "Pictorial communication, e.g. television"
      },
      {
        "code": "H04N 21/435",
        "label": "Pictorial communication, e.g. television"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Enhanced Content"
    ],
    "detail": "In September 2026 Roku patented technology for improving metadata used to select and organize streaming content across content-selection interfaces.",
    "summary": "Roku was granted a patent for multimodal content-asset quality management",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Atishay Jain",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/atishay-jain-bb4654101"
      },
      {
        "name": "Jinesh Dineshbhai Patel",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Fei Xiao",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Aravindkumar Ilangovan",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Poornima Chozhiyath Raman",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/pcraman"
      },
      {
        "name": "Arpit Malhotra",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/arpitmalhotra"
      },
      {
        "name": "Ajay Pande",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Abhishek Bambha",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/abambha"
      }
    ],
    "tech_area": "video / streaming",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12750559",
    "cpc_primary": {
      "code": "H04N 21/482",
      "label": "Pictorial communication, e.g. television"
    },
    "patent_title": "Asset quality management using multimodality",
    "patent_number": "US12750559",
    "uspto_assignee": "Roku, Inc.",
    "patent_abstract": "Disclosed herein are system, method, and computer program product embodiments that evaluate quality of metadata elements for use in a content selection graphical user interface. The metadata elements are processed using a deep neural network (DNN) trained to generate quality labels or scores for the metadata elements. Training metadata elements are processed using a large language model to generate asset embeddings corresponding to the training metadata elements. Similarity scores between pairs of the asset embeddings are computed. Training metadata elements having asset embeddings outside of first and second score thresholds are labeled with a first label indicative of “bad” metadata, and training metadata elements having asset embeddings between the thresholds are labeled with a second label indicative of “good” metadata. The DNN is trained to perform the generation of the quality labels or scores using supervised learning, based on the labeled training metadata elements.",
    "precision_class": "structural",
    "invention_explanation": "A system that uses language-model embeddings and a neural network to score how useful each piece of content metadata is for choosing what to display.",
    "technologies_mentioned": [
      "content metadata",
      "deep neural networks",
      "large language models",
      "streaming video"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/ef81ee5b-fac7-57e4-a89b-3fa7154de7ac \
  -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":"roku.com","limit":20}'