Abstract: Systems and methods for generating a virtual synthetic representative based upon a person or user are disclosed. Personal data associated with a person is collected, including personal data regarding a past communication of the person. One or more attributes indicative of personal mannerisms of the individual person are identified from the personal data. A synthetic virtual representative profile is then created from the identified personal mannerisms, and a synthetic virtual representative is virtually constructed based upon the virtual representative profile. The synthetic representative construction including a visual representation of the representative in a virtual environment.

Abstract: Systems and methods for generating personalized virtual content for a user of a virtual experience system are disclosed. Personal data associated with a customer or a user of a virtual experience device is collected, and a set of keywords representative of customer characteristics is identified from the personal data. Virtual content is generated using a machine learning model trained to generate personalized virtual content based upon keywords. The personalized virtual content is generated based upon the set of keywords representative of the customer characteristics. The personalized virtual content is provided via the virtual experience device to the customer or user in a virtual environment.

Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.

Abstract: Systems and methods are described for detecting a leak based upon home telematics data. The method may include: (1) receiving home telematics data from one or more sensors associated with one or more pipes (or piping systems) in a structure, wherein the home telematics data is indicative of the frequency with which the one or more pipes are being used; (2) determining, using a trained machine learning algorithm, pipe activity associated with the one or more pipes is occurring at an irregular frequency; (3) determining, based upon at least the determination that the pipe activity associated with the one or more pipes is occurring at the irregular frequency, that the one or more pipes are leaking; and (4) transmitting an indication to a user associated with the home that the one or more pipes are leaking.

Abstract: A system and method for measuring water pressure on a foundation. Sensors may provide data related to the environment surrounding a foundation. Analysis of the sensor data determines properties of the environment, which may include a foundation water pressure. The system and method may determine damage to the foundation based upon the foundation water pressure.

Abstract: A system and method for detecting blockages or leaks in a piping system. A water-resistant pill sensor is tracked while it travels through the piping system. The pill sensor's travel speed, travel time, movement, images, audio, and/or other data determines if a leak or blockage exists, and if so, an electronic notification detailing the blockage or leak, its location, and corrective action is sent.

Abstract: A system and method for detecting blockages and/or leaking in a piping system. The travel speed, travel time, movement, images, audio, odor, and/or other data provided by a robot ball moving through the piping system may indicate if a blockage or leak exists. An electronic notification may be sent detailing the blockage and/or leak, which may include a location and corrective action.

Abstract: Systems and methods are described for detecting a leak based upon home telematics data. The method may include: (1) receiving home telematics data from one or more sensors associated with one or more pipes (or piping systems) in a structure, wherein the home telematics data is indicative of the frequency with which the one or more pipes are being used; (2) determining, using a trained machine learning algorithm, pipe activity associated with the one or more pipes is occurring at an irregular frequency; (3) determining, based upon at least the determination that the pipe activity associated with the one or more pipes is occurring at the irregular frequency, that the one or more pipes are leaking; and (4) transmitting an indication to a user associated with the home that the one or more pipes are leaking.

Abstract: The following relates generally to implementing a medical data non-fungible token (NFT). In some embodiments, one or more processors receive medical data of a plurality of users, and store the medical data of the plurality of users in a first storage location in a medical data database. The one or more processors may then detect a request to purchase a data feed for one or more types of medical data, and identify medical data corresponding to the request in the medical data database. The one or more processors may then store the identified medical data in a second storage location, and mint a medical data NFT that indicates the second storage location.

Abstract: The following relates generally to creating a backup of data and/or settings of a smart device. In some embodiments, one or more processors receive the data and/or settings of the smart device. The one or more processors may then mint a non-fungible token (NFT) that references a link to a data storage area. The data storage area may store: (i) an identification of the smart device, and/or (ii) the received data and/or settings of the smart device. The following also relates generally to providing a warranty of an item. In some embodiments, one or more processors detect an indication of a sale. The one or more processors may then mint a warranty non-fungible token (NFT) that: (a) is owned by the owner of the item, (b) identifies the item, and (c) identifies warranty information of the item.

Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: The following relates generally to updating an inventory of insured items. In some embodiments, one or more processors: identify a digital wallet of non-fungible tokens (NFTs) configured to store NFTs that correspond to insured items associated with an individual; detect a request to add a NFT corresponding to an insured item to the digital wallet; update the digital wallet to include the NFT; and display a virtual representation of the insured items of the NFTs of the digital wallet.

Abstract: The following relates generally to assisting with replacement of a physical item. In some embodiments, one or more processors: receive an indication of an insurance claim including an indication of a physical item to be replaced; determine a set of potential replacement items for the physical item to be replaced; retrieve virtual data of the set of potential replacement items; and present, in a virtual environment, the set of potential replacement items to a user.

Abstract: The following relates generally to providing insurance for a non-fungible token (NFT). For example, an NFT may represent ownership of a digital asset, such as an image and/or video. However, NFTs are sometimes lost (e.g., due to hacking, data corruption, etc.), and it thus may be wise to purchase insurance for the NFT. As such, in some embodiments, one or more processors: receive a request to purchase insurance for an NFT; determine an insurance premium for the NFT; and send an insurance quote including the determined insurance premium.

Abstract: The following relates generally to assisting with repair of a physical item. In some embodiments, one or more processors: receive an indication of an insurance claim including an indication of a physical item to be repaired; determine a set of potential repair options for the physical item to be repaired; build a virtual model of the physical item to be repaired; and present, in the virtual environment: (i) the set of potential repair options, (ii) the physical item to be repaired, and/or (iii) a repaired version of the physical item to be repaired.

Abstract: The following relates generally to providing insurance for one or more virtual items in a virtual environment. In some embodiments, an insurance server receives a request for insurance for one or more virtual items from a customer. The insurance server then obtains information associated with the one or more virtual items from a virtual environment server, and determines an insurance premium based upon the received information. The following also relates generally to providing backups of virtual items. In some embodiments, a backup server creates backups of virtual items by writing data associated with the virtual item to a data store. The virtual items may be fungible or non-fungible. In some embodiments, the virtual items are periodically backed up.

Abstract: The following relates generally to providing insurance for one or more virtual items in a virtual environment. In some embodiments, an insurance server receives a request for insurance for one or more virtual items from a customer. The insurance server then obtains information associated with the one or more virtual items from a virtual environment server, and determines an insurance premium based upon the received information. The following also relates generally to providing backups of virtual items. In some embodiments, a backup server creates backups of virtual items by writing data associated with the virtual item to a data store. The virtual items may be fungible or non-fungible. In some embodiments, the virtual items are periodically backed up.

Abstract: The following relates generally to providing a virtual insurance kiosk within a virtual environment. In some embodiments, an insurance server receives authentication credentials of a user device attempting to interact with the virtual insurance kiosk. The insurance server may authenticate the user device and establish a secure connection to the user device. The insurance server may then provide an insurance service to the user device. The following also relates generally to providing a secure virtual mall within a virtual environment. In some embodiments, a mall server receives authentication credentials from a user device and/or a vender server. The mall server may then authenticate the user to establish secure connection(s) to the user device and/or vender server. The mall server may process transactions between the user device and vender server, such as by underwriting insurance products related to the transactions.

Abstract: The following relates generally to providing a virtual insurance kiosk within a virtual environment. In some embodiments, an insurance server receives authentication credentials of a user device attempting to interact with the virtual insurance kiosk. The insurance server may authenticate the user device and establish a secure connection to the user device. The insurance server may then provide an insurance service to the user device. The following also relates generally to providing a secure virtual mall within a virtual environment. In some embodiments, a mall server receives authentication credentials from a user device and/or a vender server. The mall server may then authenticate the user to establish secure connection(s) to the user device and/or vender server. The mall server may process transactions between the user device and vender server, such as by underwriting insurance products related to the transactions.

Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. For each driving behavior, a corresponding state of an environment of the rented vehicle when the driving behavior occurred is determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the corresponding state(s) of the environment of the rented vehicle.