Databricks was granted a patent for distributed data retrieval.

{
  "signal_id": "24b66b6c-071f-5253-9273-bbea67fad5fe",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-14T15:50:22+00:00",
  "company": {
    "name": "Databricks",
    "domain": "databricks.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 16/27",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 9/547",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/2455",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/252",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/284",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Big Data",
      "Cloud",
      "Data Management"
    ],
    "detail": "In October 2026 Databricks patented a system for serving large datasets across cloud and enterprise storage to applications and client devices.",
    "summary": "Databricks was granted a patent for distributed data retrieval.",
    "event_at": "2026-10-13",
    "inventors": [
      {
        "name": "Amandeep Khurana",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Nong Li",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/nongl"
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-10-13",
    "source_url": "https://patents.google.com/patent/US12762146",
    "cpc_primary": {
      "code": "G06F 16/27",
      "label": "Electric digital data processing"
    },
    "patent_title": "Data retrieval using distributed workers in a large-scale data access system",
    "patent_number": "US12762146",
    "uspto_assignee": "Databricks, Inc.",
    "patent_abstract": "Disclosed herein provides enhancements for operating a data access application service executing on a data access server system and an external computing system. In the data access server system, a request is received from a client device executing at least one of multiple application services for a dataset from one or more of multiple storage systems. In the data access server system, a data retrieval instruction is generated for the client device to access the dataset from the one or more of the multiple storage systems. The data retrieval instruction comprises task descriptions and a temporary credential. The data retrieval instruction is transferred to the external computing system via the client device and the requested dataset is retrieved and deployed based on the task descriptions and the temporary credential from the one or more of the multiple storage systems.",
    "precision_class": "structural",
    "invention_explanation": "A coordinator turns an application’s data request into retrieval instructions that distributed workers use to fetch pieces of a dataset from multiple storage systems.",
    "technologies_mentioned": [
      "distributed computing",
      "data retrieval",
      "data access services",
      "cloud storage"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/24b66b6c-071f-5253-9273-bbea67fad5fe \
  -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":"databricks.com","limit":20}'