Spireon, Inc.

Bertram Capital Management, LLC

Sean Michael Walsh

Richard Frank Pearlman

Daris Amon Schantz

Brian Wheeler

Jeremy Leng

Steve Gertz

Brad Jarvis

Steven Gertz

Alec Michael Hale-Pletka

Daris Schantz

Alec Hale-Pletka

A method of geospatial data based assessment driver behavior to improve driver safety and efficiency is disclosed. A method of a server device may comprise determining that a telemetry data is associated with a vehicle communicatively coupled with the server device and comparing the telemetry data with a driver objective data. A variance between the telemetry data and the driver objective data may then be determined. A performance score may be generated upon comparison of the variance to a threshold limit and/or the driver objective data. The performance score may be published along with other performance scores of other drivers in other vehicles also communicatively coupled with the server device to a reporting dashboard module. Elements of game theory may be implemented to create a team driving challenge and/or a driver performance program to generate the performance score to improve driver safety and efficiency for commercial fleets.

Geospatial data based assessment of driver behavior

Disclosed are a method and/or a system of insurance rate optimization through driver behavior which includes a computer server of the driver monitoring environment to determine if a newly insured driver operating a private vehicle is adhering to a set of parameters set by an entity i.e. a driving school, an insurance provider and/or a family member of the newly insured driver. The system assigns a credit to the newly insured driver when it adheres to the set of parameters. The newly insured driver is monitored by the entity. A metadata is generated which includes a behavioral trait of the newly insured driver and an insurance rate is set through the insurance provider based on an adherence to the set of parameters set by the entity.

Insurance rate optimization through driver behavior monitoring

A system, method, and apparatus of social log file collaboration and annotation is disclosed. In one embodiment, a method identifies a log file of importance, centralizes storage of the log file of importance and generates a social profile of the log file of importance. The method sets an access privilege associated with a user accessing the social profile of the log file of importance and permits the access the social profile of the log file of importance. The method processes a comment and/or an annotation in the social profile of the log file of importance of the user accessing the social profile of the log file of importance using a processor and a memory.

Social log file collaboration and annotation

Disclosed are a database selection system and/or a method to automatically adjust a database schema based on an input data. The method of the database selection system includes identifying an attribute of the input data. An optimal database type is determined in which the input data is to be stored based on a match between the optimal database type and the attribute. The method selects an ideal database based on the optimal database type from a set of distributed heterogeneous databases. The method determines if an existing database schema of the ideal database is optimally structured based on the input data. An ideal database schema is automatically adjusted based on the input data using a processor and a memory.

Database selection system and method to automatically adjust a database schema based on an input data

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Redwood City, CA, United States of America

Sean Michael Walsh