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How a Machine Learning Model Predicts Your Home's Health Score

This patent describes using machine learning to analyze home data and predict a 'home score' based on the age and health of key components.

Granted 2026ActiveExpires 2043

Original patent title: “Systems and methods for generating a home score and modifications for a user”

Plain-English explanation by SahiLast reviewed · October 3, 2026

This patent describes using machine learning to analyze home data and predict a 'home score' based on the age and health of key components. Granted in 2026.

Coverage

What does this patent actually cover?

This patent outlines a system that takes in data about your home, like information from smart devices (telematics data), and uses a machine learning model to figure out how old different parts of your house are. It focuses on components that affect the structural integrity, like the roof or foundation. Based on this age information, it calculates a 'home health indicator' and then generates an overall 'home score' for the property. For example, if the system detects that your HVAC system is very old based on its usage patterns, this would contribute to a lower home health indicator and thus a lower home score.

The gap

What does this patent NOT cover?

  • Does not cover scores based on market value or neighborhood statistics.
  • Does not cover systems that only analyze financial data about the home.
  • Does not cover methods that do not use machine learning to determine component age.
  • Does not cover health indicators unrelated to component age.
  • Does not cover systems that do not generate a specific 'home score'.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

Key facts

Patent numberUS 12737817
StatusActive
FieldConsumer Electronics
Filed2023
Granted2026
Times cited0
LitigationNone on record
Value · $19K–$61KMinimal

What made this novel

The noveltynoveltyThe requirement that an invention be different from anything publicly known before its priority date.Read more → lies in using machine learning to infer the age and health of structural components from indirect telematics data, creating a predictive health score rather than relying solely on direct inspection or known installation dates.

Systems and methods for genera…(Primary claim)consumer electronicssoftwareai mlfinancereal estate

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Smart home monitoring systems

02

Home insurance risk assessment tools

03

Property valuation platforms

Why it matters

The bigger picture

This technology could be valuable for homeowners, insurance companies, and potential buyers. It offers a data-driven way to assess a property's condition beyond a simple visual inspection, potentially influencing insurance premiums or sale prices.

Filed

May 22, 2023

Granted

September 15, 2026

Market context

Who's building on this

Companies in this space

Companies involved in smart home technology, property management software, and insurance technology (insurtech) are likely exploring or utilizing similar predictive analytics for property assessment.

Market impact

This patent could enable new services for homeowners and real estate professionals, offering a more objective and data-driven assessment of property condition. It might lead to more personalized insurance policies or facilitate more informed property transactions.

Claim 1 — Plain English

What this patent covers

This patent outlines a system that takes in data about your home, like information from smart devices (telematics data), and uses a machine learning model to figure out how old different parts of your house are. It focuses on components that affect the structural integrity, like the roof or foundation. Based on this age information, it calculates a 'home health indicator' and then generates an overall 'home score' for the property. For example, if the system detects that your HVAC system is very old based on its usage patterns, this would contribute to a lower home health indicator and thus a lower home score.

The clever bit

The novelty lies in using machine learning to infer the age and health of structural components from indirect telematics data, creating a predictive health score rather than relying solely on direct inspection or known installation dates.

What it does not cover

  • Does not cover scores based on market value or neighborhood statistics.
  • Does not cover systems that only analyze financial data about the home.
  • Does not cover methods that do not use machine learning to determine component age.
  • Does not cover health indicators unrelated to component age.
  • Does not cover systems that do not generate a specific 'home score'.

Patent timeline

Filing

Application submitted to the patent office

Grant

Patent officially issued

PatentBrief Score

Impact Score

Early stage

Citation count

0/40

No citations yet

Claim breadth

0/20

Narrow claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

20/20

Granted within 5 years

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Minimal

$19K – $61K

Midpoint $38K · 16.6 yr remaining · industry ×1.6

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

Claim text not yet imported for this patent

Claim text not yet imported for this patent.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Cite this patent

(2026). How a Machine Learning Model Predicts Your Home's Health Score (U.S. Patent No. 12,737,817). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/12737817/systems-and-methods-for-generating-a-home-score-and-modifications-for-a-user-12737817

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How a Machine Learning Model Predicts Your Home's Health Score cover?

This patent describes using machine learning to analyze home data and predict a 'home score' based on the age and health of key components.

When does this patent expire?

This patent is expected to expire on September 15, 2046, when the invention enters the public domain.

What problem does this patent solve?

This technology could be valuable for homeowners, insurance companies, and potential buyers. It offers a data-driven way to assess a property's condition beyond a simple visual inspection, potentially influencing insurance premiums or sale prices.

What does this patent NOT cover?

Does not cover scores based on market value or neighborhood statistics.

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Last reviewed: October 3, 2026 · PatentBrief is not a law firm and this is not legal advice.