The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 22, 2025

Filed:

Dec. 14, 2022
Applicant:

Quanata, Llc, San Francisco, CA (US);

Inventor:

Kenneth Jason Sanchez, San Francisco, CA (US);

Assignee:

QUANATA, LLC, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2023.01); B60W 40/09 (2012.01); G06F 11/30 (2006.01); G06F 21/62 (2013.01); G06N 5/04 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0203 (2023.01); G06Q 30/0204 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0601 (2023.01); G06Q 30/08 (2012.01); G07C 5/06 (2006.01); G07C 5/08 (2006.01); G07C 5/12 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0204 (2013.01); B60W 40/09 (2013.01); G06F 11/3013 (2013.01); G06F 11/3089 (2013.01); G06F 21/6245 (2013.01); G06N 5/04 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0203 (2013.01); G06Q 30/0251 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/08 (2013.01); G07C 5/06 (2013.01); G07C 5/08 (2013.01); G07C 5/12 (2013.01);
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.


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