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Freddie MacPatent grant

Freddie Mac was granted a patent for geospatial property analysis.

Source: Autobound Signal API · 91 signals tracked for Freddie Mac · updated

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What happened

In August 2026 Freddie Mac patented a system for enriching property-location data, used in real estate analytics and mortgage decision-making.

Source

Abstract

In an illustrative embodiment, an automated system and method develops customized feature vectors from geospatial information system (GIS) information. The system and method may obtain GIS features located within a predetermined boundary surrounding a property location and store the GIS features within a feature vector. The system can add amplifying data features accessed from external data sources that expand a knowledge scope of GIS feature(s). Amounts of correlation between the GIS features and associated amplifying data features within the feature vector and a property value of the property location can be identified using at least one data model trained with a data set including types of GIS features of the customized feature vector of the property location.

patents.google.com/patent/US12705263Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Aug 11, 2026
Inventors
3
Tech area
software / computing
Patent number
US12705263

The full record

From the Signal API record

People

  • Yuang TangInventor
  • Fabio QuijadaInventor
  • Jianglong LiInventor

Details

Primary CPC class
G06F 16/29 (Electric digital data processing)
USPTO assignee
Federal Home Loan Mortage Corporation (Freddie Mac)
What the invention does
A method that gathers nearby map features and outside data into a tailored profile for each property, then measures how those features relate to one another.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Analytics & Insights
  • Data Science
  • Real Estate

Technologies named

  • GIS data
  • geospatial analytics
  • feature vectors
  • property data

Extraction

Detected
Sep 16, 2026
signal_type
patents-company
signal_subtype
patentGrant

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This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/6b8904cd-3ef2-527e-90c0-f0ea07a28cb6 returns this record as JSON. POST /v1/companies/enrich returns every signal for freddiemac.com.

{
  "signal_id": "6b8904cd-3ef2-527e-90c0-f0ea07a28cb6",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-16T04:12:30+00:00",
  "company": {
    "name": "Freddie Mac",
    "domain": "freddiemac.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 16/29",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/24573",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/2465",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/248",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 16/288",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Analytics & Insights",
      "Data Science",
      "Real Estate"
    ],
    "detail": "In August 2026 Freddie Mac patented a system for enriching property-location data, used in real estate analytics and mortgage decision-making.",
    "summary": "Freddie Mac was granted a patent for geospatial property analysis.",
    "event_at": "2026-08-11",
    "inventors": [
      {
        "name": "Yuang Tang",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Fabio Quijada",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Jianglong Li",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-08-11",
    "source_url": "https://patents.google.com/patent/US12705263",
    "cpc_primary": {
      "code": "G06F 16/29",
      "label": "Electric digital data processing"
    },
    "patent_title": "Systems and methods of establishing correlative relationships between geospatial data features in feature vectors representing property locations",
    "patent_number": "US12705263",
    "uspto_assignee": "Federal Home Loan Mortage Corporation (Freddie Mac)",
    "patent_abstract": "In an illustrative embodiment, an automated system and method develops customized feature vectors from geospatial information system (GIS) information. The system and method may obtain GIS features located within a predetermined boundary surrounding a property location and store the GIS features within a feature vector. The system can add amplifying data features accessed from external data sources that expand a knowledge scope of GIS feature(s). Amounts of correlation between the GIS features and associated amplifying data features within the feature vector and a property value of the property location can be identified using at least one data model trained with a data set including types of GIS features of the customized feature vector of the property location.",
    "precision_class": "structural",
    "invention_explanation": "A method that gathers nearby map features and outside data into a tailored profile for each property, then measures how those features relate to one another.",
    "technologies_mentioned": [
      "GIS data",
      "geospatial analytics",
      "feature vectors",
      "property data"
    ]
  }
}

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