IP Library › Granted Patent US 12,367,507
Granted Patent B2
US 12,367,507 · App. 18/065,847 · Granted Jul 22, 2025

Systems and methods for managing vehicle operator profiles based on universal telematics inferences via a telematics marketplace

Inventor: Kenneth Jason Sanchez (San Francisco, CA)
Assignee: QUANATA, LLC
G06Q30/0204B60W40/09G06F11/3013G06F11/3089G06F21/6245G06N5/04G06Q30/0201G06Q30/0202G06Q30/0203G06Q30/0251G06Q30/0631G06Q30/08G07C5/06G07C5/08G07C5/12
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Quick Facts
Patent No.
US 12,367,507
App. No.
18/065,847
Granted
Jul 22, 2025
Kind
B2
Abstract

Method, system, device, and non-transitory computer-readable medium for managing vehicle operator profiles based on telematics inferences via a telematics marketplace. In some examples, a computer-implemented method includes: collecting a plurality of personal data sets continually; collecting a plurality of sensor data sets continually via one or more tensing modules; for each vehicle operator of the plurality of vehicle operators: generating and continually updating an operator profile including the personal data set: determining and continually updating one or more telematics inferences using a universal predictive model based at least in part upon the sensor data set, the universal predictive model having weights and biases hidden to marketplace participants; generating and continually updating a data profile including the one or more telematics inferences; and listing and continually updating the data profile onto a telematics marketplace to be accessible by a plurality of marketplace participants.

Claims (76)

1. A computer-implemented method, the computer-implemented method comprising:

collecting, by one or more processors, a plurality of telematics data sets for a plurality of users associated with a plurality of marketplace participants via a software development kit (SDK) commonly installed on: (1) one or more user devices of the plurality of users, (2) two or more different third-party applications installed on one or more user devices of the plurality of users, and (3) one or more on-board computers embedded within one or more vehicles of the plurality of users, wherein the plurality of users include a plurality of vehicle operators, wherein the one or more user devices comprise a laptop computer, a smartphone, a tablet, or a wearable device, wherein, when the SDK is installed on the two or more different third-party applications that are installed on a same user device, a third-party application of the two or more different third-party applications is run while other third-party applications of the two or more different third-party applications are suspended to save processing power and reduce redundancy, and wherein the collecting of the plurality of telematics data sets for the plurality of users associated with the plurality of marketplace participants via the SDK comprises:

collecting a plurality of personal data sets associated with the plurality of vehicle operators;

collecting a plurality of sensor data sets from a plurality of sensors associated with the plurality of vehicle operators via one or more sensing modules in response to each sensor of the plurality of sensors having acquired a predetermined threshold amount of sensor measurements, wherein the plurality of sensors include an accelerometer, a gyroscope, or a magnetometer;

for each of one or more of the (1) one or more user devices of the plurality of users or the (2) two or more different third-party applications installed on the one or more user devices of the plurality of users, and for the (3) one or more on-board computers embedded within the one or more vehicles of the plurality of users:

producing, by the SDK installed thereon, telematics data set of the plurality of telematics data sets in a standardized format, wherein the telematics data set has a uniform format sharable across the plurality of marketplace participants, and wherein the telematics data set includes a sensor data set of the plurality of sensor data sets in the standardized format;

determining one or more telematics inferences in the standardized format based at least in part upon the telematics data set in the standardized format and using one or more universal predictive models, each of the one or more universal predictive models having a plurality of weights determined by a marketplace administrator other than one of the plurality of marketplace participants, wherein the one or more telematics inferences in the standardized format include one or more scores, and wherein the one or more scores include one or more of an industry-specific score, a use-specific score, a party-specific score, or a universal operator score;

generating and updating an operator profile including a personal data set of the plurality of personal data sets associated with a vehicle operator of the plurality of vehicle operators;

generating and updating a data profile associated with the vehicle operator of the plurality of vehicle operators by including in the data profile the sensor data set of the plurality of sensor data sets in the standardized format, the produced telematics data set in the standardized format, and the one or more telematics inferences in the standardized format; and

listing and updating the data profile onto one or more databases of a telematics marketplace, wherein the data profile is accessible by the plurality of marketplace participants, and wherein the data profile is configured to be utilized for a plurality of uses by the plurality of marketplace participants;

receiving, by the one or more processors and from a requesting party of the plurality of marketplace participants, an information request for a target operator profile associated with a target data profile selected from the data profiles of the plurality of vehicle operators, wherein the requesting party represents a different marketplace participant; and

transmitting, by the one or more processors and in response to the information request, the target operator profile including at least one of the sensor data set of the plurality of sensor data sets in the standardized format or the produced telematics data set in the standardized format from the one or more databases to the requesting party.

2. The computer-implemented method of claim 1 , wherein the determining one or more telematics inferences in the standardized format includes:

determining and updating a predicted profitability based at least in part upon the personal data set associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

3. The computer-implemented method of claim 2 , wherein the determining and updating the predicted profitability includes:

determining and updating the predicted profitability using a universal predictive model of the one or more universal predictive models having a plurality of weights that correspond to an importance of each type of sensor data in the determination of the predicted profitability.

4. The computer-implemented method of claim 2 , wherein the determining and updating the predicted profitability includes:

determining and updating predicted costs based at least in part upon the personal data set associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

5. The computer-implemented method of claim 4 , wherein the determining and updating the predicted costs includes:

determining and updating a predicted losses and a predicted expenses based at least in part upon the personal data associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

6. The computer-implemented method of claim 1 , wherein the determining one or more telematics inferences in the standardized format includes:

collecting, from the plurality of marketplace participants, user acquisition data indicative of whether or not vehicle operators associated with transmitted target operator profiles are successfully acquired as users;

determining, based at least in part upon the user acquisition data, one or more model modifications to the one or more universal predictive models; and

modifying the one or more universal predictive models based at least in part upon the one or more model modifications.

7. The computer-implemented method of claim 1 , wherein:

the one or more sensing modules includes a common module used by a plurality of mobile applications;

the common module is a software module or a common hardware module; and

each vehicle operator uses at least one mobile application of the plurality of mobile applications.

8. The computer-implemented method of claim 7 , wherein the plurality of mobile applications include one or more of a system software application, an entertainment software application, a gaming software application, a navigation software application, or an environment software application.

9. The computer-implemented method of claim 1 , wherein the one or more telematics inferences in the standardized format include one or more of a profitability score, a reliability score, a financial stability score, a financial reliability score, a demographic score, a mobility score, a predicted risk score, a predicted costs score, a predicted retention score, or a payment reliability score.

10. A computing system, the computing system comprising:

a plurality of processors; and

a plurality of memories storing instructions that, upon execution by the plurality of processors, cause the plurality of processors to perform processes including:

collecting, by one or more processors, a plurality of telematics data sets for a plurality of users associated with a plurality of marketplace participants via a software development kit (SDK) commonly installed on: (1) one or more user devices of the plurality of users, (2) two or more different third-party applications installed on one or more user devices of the plurality of users, and (3) one or more on-board computers embedded within one or more vehicles of the plurality of users, wherein the plurality of users include a plurality of vehicle operators, wherein the one or more user devices comprise a laptop computer, a smartphone, a tablet, or a wearable device, wherein, when the SDK is installed on the two or more different third-party applications that are installed on a same user device, a third-party application of the two or more different third-party applications is run while other third-party applications of the two or more different third-party applications are suspended to save processing power and reduce redundancy, and wherein the collecting of the plurality of telematics data sets for the plurality of users associated with the plurality of marketplace participants via the SDK comprises:

collecting a plurality of personal data sets associated with the plurality of vehicle operators;

collecting a plurality of sensor data sets from a plurality of sensors associated with the plurality of vehicle operators via one or more sensing modules in response to each sensor of the plurality of sensors having acquired a predetermined threshold amount of sensor measurements, wherein the plurality of sensors include an accelerometer, a gyroscope, or a magnetometer;

for each of one or more of the (1) one or more user devices of the plurality of users or the (2) two or more different third-party applications installed on the one or more user devices of the plurality of users, and for the (3) one or more on-board computers embedded within the one or more vehicles of the plurality of users:

producing, by the SDK installed thereon, a telematics data set of the plurality of telematics data sets in a standardized format, wherein the telematics data set has a uniform format sharable across the plurality of marketplace participants, and wherein the telematics data set includes a sensor data set of the plurality of sensor data sets in the standardized format;

determining one or more telematics inferences in the standardized format based at least in part upon the telematics data set in the standardized format and using one or more universal predictive models, each of the one or more universal predictive models having a plurality of weights determined by a marketplace administrator other than one of the plurality of marketplace participants, wherein the one or more telematics inferences in the standardized format include one or more scores, and wherein the one or more scores include one or more of an industry-specific score, a use-specific score, a party-specific score, or a universal operator score;

generating and updating an operator profile including a personal data set of the plurality of personal data sets associated with a vehicle operator of the plurality of vehicle operators;

generating and updating a data profile associated with the vehicle operator of the plurality of vehicle operators by including in the data profile the sensor data set of the plurality of sensor data sets in the standardized format, the produced telematics data set in the standardized format, and the one or more telematics inferences in the standardized format; and

listing and updating the data profile onto one or more databases of a telematics marketplace, wherein the data profile is accessible by the plurality of marketplace participants, and wherein the data profile is configured to be utilized for a plurality of uses by the plurality of marketplace participants;

receiving, by the one or more processors and from a requesting party of the plurality of marketplace participants, an information request for a target operator profile associated with a target data profile selected from the data profiles of the plurality of vehicle operators, wherein the requesting party represents a different marketplace participant; and

transmitting, by the one or more processors and in response to the information request, the target operator profile including at least one of the sensor data set of the plurality of sensor data sets in the standardized format or the produced telematics data set in the standardized format from the one or more databases to the requesting party.

11. The computing system of claim 10 , wherein the determining one or more telematics inferences in the standardized format includes:

determining and updating a predicted profitability based at least in part upon the personal data set associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

12. The computing system of claim 11 , wherein the determining and updating the predicted profitability includes:

determining and updating the predicted profitability using a universal predictive model of the one or more universal predictive models having a plurality of weights that correspond to an importance of each type of sensor data in the determination of the predicted profitability.

13. The computing system of claim 11 , wherein the determining and updating the predicted profitability includes:

determining and updating predicted costs based at least in part upon personal data set associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

14. The computing system of claim 13 , wherein the determining and updating the predicted costs includes:

determining and updating a predicted losses and a predicted expenses based at least in part upon the personal data associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

15. The computing system of claim 10 , wherein the determining one or more telematics inferences in the standardized format includes:

collecting, from the plurality of marketplace participants, user acquisition data indicative of whether or not vehicle operators associated with transmitted target operator profiles are successfully acquired as users;

determining, based at least in part upon the user acquisition data, one or more model modifications to the one or more universal predictive models; and

modifying the one or more universal predictive models based at least in part upon the one or more model modifications.

16. The computing system of claim 10 , wherein:

the one or more sensing modules includes a common module used by a plurality of mobile applications;

the common module is a software module or a common hardware module; and

each vehicle operator uses at least one mobile application of the plurality of mobile applications.

17. The computing system of claim 16 , wherein the plurality of mobile applications include one or more of a system software application, an entertainment software application, a gaming software application, a navigation software application, or an environment software application.

18. The computing system of claim 10 , wherein the one or more telematics inferences in the standardized format include one or more of a profitability score, a reliability score, a financial stability score, a financial reliability score, a demographic score, a mobility score, a predicted risk score, a predicted costs score, a predicted retention score, or a payment reliability score.

19. A plurality of non-transitory computer-readable mediums storing instructions, the instructions upon execution by a plurality of processors of a computing system, cause the computing system plurality of processors to perform processes including:

collecting, by one or more processors, a plurality of telematics data sets for a plurality of users associated with a plurality of marketplace participants via a software development kit (SDK) commonly installed on: (1) one or more user devices of the plurality of users, (2) two or more different third-party applications installed on one or more user devices of the plurality of users, and (3) one or more on-board computers embedded within one or more vehicles of the plurality of users, wherein the plurality of users include a plurality of vehicle operators, wherein the one or more user devices comprise a laptop computer, a smartphone, a tablet, or a wearable device, wherein, when the SDK is installed on the two or more different third-party applications that are installed on a same user device, a third-party application of the two or more different third-party applications is run while other third-party applications of the two or more different third-party applications are suspended to save processing power and reduce redundancy, and wherein the collecting of the plurality of telematics data sets for the plurality of users associated with the plurality of marketplace participants via the SDK comprises:

collecting a plurality of personal data sets associated with the plurality of vehicle operators;

collecting a plurality of sensor data sets from a plurality of sensors associated with the plurality of vehicle operators via one or more sensing modules in response to each sensor of the plurality of sensors having acquired a predetermined threshold amount of sensor measurements, wherein the plurality of sensors include an accelerometer, a gyroscope, or a magnetometer;

for each of one or more of the (1) one or more user devices of the plurality of users or the (2) two or more different third-party applications installed on the one or more user devices of the plurality of users, and for the (3) one or more on-board computers embedded within the one or more vehicles of the plurality of users:

producing, by the SDK installed thereon, a telematics data set of the plurality of telematics data sets in a standardized format, wherein the telematics data set has a uniform format sharable across the plurality of marketplace participants, and wherein the telematics data set includes a sensor data set of the plurality of sensor data sets in the standardized format;

determining one or more telematics inferences in the standardized format based at least in part upon the telematics data set in the standardized format and using one or more universal predictive models, each of the one or more universal predictive models having a plurality of weights determined by a marketplace administrator other than one of the plurality of marketplace participants, wherein the one or more telematics inferences in the standardized format include one or more scores, and wherein the one or more scores include one or more of an industry-specific score, a use-specific score, a party-specific score, or a universal operator score;

generating and updating an operator profile including a personal data set of the plurality of personal data sets associated with a vehicle operator of the plurality of vehicle operators;

generating and updating a data profile associated with the vehicle operator of the plurality of vehicle operators by including in the data profile the sensor data set of the plurality of sensor data sets in the standardized format, the produced telematics data set in the standardized format, and the one or more telematics inferences in the standardized format; and

listing and updating the data profile onto one or more databases of a telematics marketplace, wherein the data profile is accessible by the plurality of marketplace participants, and wherein the data profile is configured to be utilized for a plurality of uses by the plurality of marketplace participants;

receiving, by the one or more processors and from a requesting party of the plurality of marketplace participants, an information request for a target operator profile associated with a target data profile selected from the data profiles of the plurality of vehicle operators, wherein the requesting party represents a different marketplace participant; and

transmitting, by the one or more processors and in response to the information request, the target operator profile including at least one of the sensor data set of the plurality of sensor data sets in the standardized format or the produced telematics data set in the standardized format from the one or more databases to the requesting party.

20. The plurality of non-transitory computer-readable mediums of claim 19 , the instructions upon execution by the plurality of processors of the computing system, further cause the plurality of processors to perform one or more processes including:

determining and updating a predicted profitability based at least in part upon the personal data set associated with the vehicle operator of the plurality of vehicle operators and the sensor data set of the plurality of sensor data sets in the standardized format.

Assignments (2)
CHANGE OF NAME Recorded May 29, 2024
From: BLUEOWL, LLC
To: QUANATA, LLC
Reel/Frame 067558/0600 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 14, 2024
From: SANCHEZ, KENNETH JASON
To: BLUEOWL, LLC
Reel/Frame 067411/0926 →
Continuity (3)
Continuation PCTUS2021040282 · Jul 2, 2021
Provisional Application 63049052 · Jul 7, 2020
Related Publication 20230113388A1 · Apr 13, 2023
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