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公开(公告)号：US20220414807A1
公开(公告)日：2022-12-29
申请号：US17896617
申请日：2022-08-26
发明人： Ryan Maurer , Nolan White , Kyle D. Weber , Edward Austin , William Guthrie , Dustin Helland , Bharat Prasad , Sharon Kay Haverlah , Karen Marie Shackelford-George
摘要： Aspects of distributed ledger technology are leveraged to verify subrogation settlements. In particular, two parties to a subrogation claim provide cryptographic hashes to a subrogation demand smart contract stored at an address on a blockchain. The subrogation demand smart contract determines that the parties have reached an agreement by determining that the cryptographic hashes match. A settlement amount from the subrogation claim may be appended to a set of settlement amounts to determine a net settlement amount to facilitate a single payment between the parties on a periodic basis, such as daily, to alleviate the need for the parties to send or receive a payment for each individual settlement amount.
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公开(公告)号：US12002108B2
公开(公告)日：2024-06-04
申请号：US17973108
申请日：2022-10-25
发明人： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号： G06Q40/08
CPC分类号： G06Q40/08
摘要： Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a first property; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) retrieving past hazard data associated with a second property; and (5) generating based upon at least the past hazard data, a home modification recommendation.
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3.发明公开公开(公告)号：US20230394034A1
公开(公告)日：2023-12-07
申请号：US18235214
申请日：2023-08-17
发明人： Puneit Dua , Joshua James Wiggs , Matt Corbin , Dustin Helland
IPC分类号： G06F16/23
CPC分类号： G06F16/2365 , G06F16/2358 , G06Q50/163
摘要： The following relates generally to generating a property measurement (e.g., a property value, a construction replacement cost, a property health score, etc.) of a subject property, and, more particularly, to generating a property measurement of the subject property when at least one property parameter of the subject property is unknown or inaccurate. In some embodiments, a set of properties nearby the subject property is identified, and information of the set of properties is received. At least one property parameter (e.g., a year built, a square footage, a qualitative build grade of the subject property, etc.) is optimized. The property measurement of the subject property may then be optimized based upon the determined at least one property parameter.
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4.发明公开公开(公告)号：US20230394033A1
公开(公告)日：2023-12-07
申请号：US18235206
申请日：2023-08-17
发明人： Puneit Dua , Joshua James Wiggs , Matt Corbin , Dustin Helland
IPC分类号： G06F16/23
CPC分类号： G06F16/2365 , G06F16/2358 , G06Q50/163
摘要： The following relates generally to generating a property measurement (e.g., a property value, a construction replacement cost, a property health score, etc.) of a subject property, and, more particularly, to generating a property measurement of the subject property when at least one property parameter of the subject property is unknown or inaccurate. In some embodiments, a set of properties nearby the subject property is identified, and information of the set of properties is received. At least one property parameter (e.g., a year built, a square footage, a qualitative build grade of the subject property, etc.) is optimized. The property measurement of the subject property may then be optimized based upon the determined at least one property parameter.
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公开(公告)号：US11922526B2
公开(公告)日：2024-03-05
申请号：US17896617
申请日：2022-08-26
发明人： Ryan Maurer , Nolan White , Kyle D. Weber , Edward Austin , William Guthrie , Dustin Helland , Bharat Prasad , Sharon Kay Haverlah , Karen Marie Shackelford-George
CPC分类号： G06Q50/18 , G06F16/2365 , H04L9/3236
摘要： Aspects of distributed ledger technology are leveraged to verify subrogation settlements. In particular, two parties to a subrogation claim provide cryptographic hashes to a subrogation demand smart contract stored at an address on a blockchain. The subrogation demand smart contract determines that the parties have reached an agreement by determining that the cryptographic hashes match. A settlement amount from the subrogation claim may be appended to a set of settlement amounts to determine a net settlement amount to facilitate a single payment between the parties on a periodic basis, such as daily, to alleviate the need for the parties to send or receive a payment for each individual settlement amount.
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公开(公告)号：US20240037680A1
公开(公告)日：2024-02-01
申请号：US18380069
申请日：2023-10-13
发明人： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号： G06Q50/16
CPC分类号： G06Q50/16
摘要： Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.
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公开(公告)号：US20230342859A1
公开(公告)日：2023-10-26
申请号：US17973108
申请日：2022-10-25
发明人： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号： G06Q40/08
CPC分类号： G06Q40/08
摘要： Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a first property; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) retrieving past hazard data associated with a second property; and (5) generating based upon at least the past hazard data, a home modification recommendation.
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公开(公告)号：US20240212078A1
公开(公告)日：2024-06-27
申请号：US18433608
申请日：2024-02-06
发明人： Ryan Maurer , Nolan White , Kyle D. Weber , Edward Austin , William Guthrie , Dustin Helland , Bharat Prasad , Sharon Kay Haverlah , Karen Marie Shackelford-George
CPC分类号： G06Q50/18 , G06F16/2365 , H04L9/3236
摘要： Aspects of distributed ledger technology are leveraged to verify subrogation settlements.
In particular, two parties to a subrogation claim provide cryptographic hashes to a subrogation demand smart contract stored at an address on a blockchain. The subrogation demand smart contract determines that the parties have reached an agreement by determining that the cryptographic hashes match. A settlement amount from the subrogation claim may be appended to a set of settlement amounts to determine a net settlement amount to facilitate a single payment between the parties on a periodic basis, such as daily, to alleviate the need for the parties to send or receive a payment for each individual settlement amount.-
公开(公告)号：US20230377070A1
公开(公告)日：2023-11-23
申请号：US18228158
申请日：2023-07-31
发明人： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号： G06Q50/16
CPC分类号： G06Q50/16
摘要： Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.
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10.发明公开公开(公告)号：US20230342869A1
公开(公告)日：2023-10-26
申请号：US17973099
申请日：2022-10-25
发明人： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号： G06Q50/16
CPC分类号： G06Q50/16
摘要： Systems and methods are described for analyzing home data to generate a home score. The method may include: retrieving home data for a first property; determining that the first property shares home characteristics with a second property; retrieving past hazard data associated with the second property; determining, based upon at least the home data and the past hazard data, one or more first home score factors, wherein the determining includes: analyzing, using a trained machine learning data evaluation model, the home data to determine home characteristic data for the first property, determining second home score factors for the second property based at least upon the past hazard data, and determining, based upon the home characteristic data and the second home score factors, the one or more first home score factors; and generating, based upon the one or more first home score factors, a home score for the first property.
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