Abstract: The present methods and systems relate to using and accessing data stored in a blockchain, and in particular, interacting with the blockchain and users via smart contracts to handle account funding and distribution methods. The methods and systems include receiving a transaction from a participant, and verifying the transaction, such as by accessing a smart contract stored on the blockchain and checking a set of parameters against a set of conditions stored in the smart contract. Depending on whether the set of parameters satisfy the conditions, the results may be communicated to participants about the success or failure of the transaction.

Abstract: Systems and methods are disclosed for creating, maintaining, and interacting with a distributed ledger for VIN recordkeeping related to a particular vehicle. The systems and methods include the use of smart contracts, and receiving information about the vehicle, such as a description of the vehicle, whether the vehicle is covered by insurance, financial information related to the vehicle, and any maintenance data about the vehicle. This information may be used to create a distributed ledger for the particular vehicle, and during the vehicle's lifetime events related to the vehicle may be recorded in the distributed ledger.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, determining fault as part of the subrogation process. An exemplary embodiment may include receiving an electronic notification of a vehicle collision; receiving sensor data (such as telematics, image, audio, vehicle operational, or other sensor data) related to the vehicle collision; determining a percentage of fault of the vehicle collision for one or more vehicles, vehicle systems, and/or drivers based upon, at least in part, analysis of the sensor data collected; and creating a blockchain for the vehicle collision with one or more links to the sensor image data and an indication of the percentage of fault(s) determined to facilitate blockchain-based claim handling.

Abstract: Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

Abstract: The present embodiments relate to systems and methods for using a blockchain to record information related to processes and services in the vehicle industry. The systems and methods may include (1) receiving an indication of vehicle being involved a vehicle collision and a vehicle VIN; (2) accessing, at a memory, a loss history blockchain associated with the vehicle using the VIN as a key; (3) receiving vehicle sensor data generated or collected prior to, during, and/or after the vehicle collision; (4) creating a block to add to the loss history blockchain that includes the vehicle sensor data, or otherwise updating the loss history blockchain with the vehicle sensor data associated with the vehicle collision; (5) analyzing the vehicle sensor data to reconstruct the vehicle collision; and/or (6) updating the loss history blockchain to include and/or indicate the reconstructed vehicle collision by including the created block.

Abstract: A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant. Evidence regarding the value of the subrogation claim is sent to the shared ledger by entities involved in the claim such as sending to a smart contract deployed on the shared ledger. The parties to the subrogation claim may supplement evidence and settlement proposals on the blockchain by broadcasting a transaction or sending data to the smart contract. Once the claim is resolved, the parties may settle the subrogation payment off-chain or may transact a token having value on the chain. A subrogation smart contract may be programmed to release funds under certain conditions including holding a bond by a claimant and/or upon final resolution of the subrogation claim.

Abstract: A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim, such as sending data to a smart contract deployed on the shared ledger. The parties to the claim may request arbitration, especially after attempts to settle the claim on-chain between the two parties have failed. An arbitrator may request evidence from the parties and/or request responses from the parties to accept damages calculations and/or settlement offers. Once the claim is resolved, the arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

Abstract: Systems and methods are disclosed for creating, maintaining, and interacting with a distributed ledger for VIN recordkeeping related to a particular vehicle. The systems and methods include the use of smart contracts, and receiving information about the vehicle, such as a description of the vehicle, whether the vehicle is covered by insurance, financial information related to the vehicle, and any maintenance data about the vehicle. This information may be used to create a distributed ledger for the particular vehicle, and during the vehicle's lifetime events related to the vehicle may be recorded in the distributed ledger.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for tracking changes for a user. Example methods may include implementing one or more servers, each of the one or more servers maintaining a copy of a distributed ledger; detecting a change in a policy or claim status for a user; responding to the detection of the change, including: (i) generating, via a server of the one or more servers, a transaction record for the distributed ledger including data corresponding to the change; (ii) generating a hash value representative of at least the transaction record using at least a generated nonce value; and (iii) storing the transaction record and the hash value to each copy of the distributed ledger at the one or more servers; and performing a function based upon the transaction record stored to the distributed ledger.

Abstract: Methods and systems for predictively generating an insurance claim in response to detecting an imminent insurance-related event are provided. According to certain aspects, a smart home controller or insurance provider remote processor may store a first set of data received from smart devices disposed on, or proximate to, a property. This data may be analyzed to detect that an insurance-related event is imminent and calculate a likelihood that a property owner will file an insurance claim in response to damage caused by the imminent insurance-related event. If there is a sufficient likelihood that an insurance claim will be filed, the smart home controller or remote processor may store a second set of data received from the smart devices. Subsequently, according to certain aspects, the second set of data may be analyzed to prepopulate an automatically generated insurance claim with information detailing damage to the property caused by the insurance-related event.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart vehicle data. The managed data may relate to a detected vehicle event, such as: a motion or position detected by a motion or position sensor as a GPS chip, an accelerometer, a compass, a speedometer, a gyroscope, etc.; braking detected by a braking sensor; turn input detected by a steering wheel sensor; wheel position detected by a wheel sensor; engine temperature detected by a temperature gauge; oil temperature detected by a temperature gauge; a seatbelt status detected by a seatbelt and/or seat sensor; etc.

Abstract: Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

Abstract: The present embodiments relate to systems and methods for using a blockchain to record information related to processes and services in the vehicle industry. The systems and methods may include (1) receiving an indication of vehicle being involved a vehicle collision and a vehicle VIN; (2) accessing, at a memory, a loss history blockchain associated with the vehicle using the VIN as a key; (3) receiving vehicle sensor data generated or collected prior to, during, and/or after the vehicle collision; (4) creating a block to add to the loss history blockchain that includes the vehicle sensor data, or otherwise updating the loss history blockchain with the vehicle sensor data associated with the vehicle collision; (5) analyzing the vehicle sensor data to reconstruct the vehicle collision; and/or (6) updating the loss history blockchain to include and/or indicate the reconstructed vehicle collision by including the created block.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, determining fault as part of the subrogation process. An exemplary embodiment may include receiving an electronic notification of a vehicle collision; receiving sensor data (such as telematics, image, audio, vehicle operational, or other sensor data) related to the vehicle collision; determining a percentage of fault of the vehicle collision for one or more vehicles, vehicle systems, and/or drivers based upon, at least in part, analysis of the sensor data collected; and creating a blockchain for the vehicle collision with one or more links to the sensor image data and an indication of the percentage of fault(s) determined to facilitate blockchain-based claim handling.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, utilizing historical data related to a vehicle or vehicle collisions as part of the subrogation process. An exemplary embodiment may include receiving historical sensor data, such as image, audio, telematics, and/or autonomous vehicle data, associated with a past vehicle collision; inputting the historical sensor data into a machine learning program to determine data relevant to a past vehicle collision; receiving current sensor data associated with a current vehicle collision; inputting the current sensor data into the machine learning program to determine data relevant to the current vehicle collision; and determining a percentage of fault of the vehicle collision for one or more autonomous vehicles, autonomous vehicle systems, and/or drivers based upon, at least in part, analysis of the historical sensor data and the current sensor data.