Abstract: Aspects of the present disclosure describe a system comprising a computer-readable storage medium storing a program and method for analyzing one or more electronic submissions based on a rule set to generate a risk assessment of an applicant. In particular, some embodiments analyze one or more electronic submissions for an applicant of an insurance policy (or insurance product) based on a rule set (e.g., structured, machine-readable rule set) that describes one or more rules, guidelines, or parameters that codify an insurance carrier's risk appetite. Based on the analysis, various embodiments generate a risk assessment for the applicant, where the risk assessment can include a risk summary, a risk classification, a risk score, a listing of detected risk signals, or some combination thereof for the applicant.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for extracting rules and determining risk parameters from an underwriting manual. The program and method provide for receiving an underwriting manual for an insurance carrier, wherein the underwriting manual comprises text describing rules, guidelines and parameters defining a risk appetite of the insurance carrier; processing the underwriting manual using one or more neural network models, the one or more neural network models having been trained with domain-specific data to analyze text across plural underwriting manuals; determining, based on the processing, insurance rules and risk parameters for the text in the underwriting manual; and generating a set of rules based on the insurance rules and risk parameters.

Abstract: Aspects of the present disclosure describe a system comprising a computer-readable storage medium storing a program and method for analyzing one or more electronic submissions based on a rule set to generate a risk assessment of an applicant. In particular, some embodiments analyze one or more electronic submissions for an applicant of an insurance policy (or insurance product) based on a rule set (e.g., structured, machine-readable rule set) that describes one or more rules, guidelines, or parameters that codify an insurance carrier's risk appetite. Based on the analysis, various embodiments generate a risk assessment for the applicant, where the risk assessment can include a risk summary, a risk classification, a risk score, a listing of detected risk signals, or some combination thereof for the applicant.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for extracting rules and determining risk parameters from an underwriting manual. The program and method provide for receiving an underwriting manual for an insurance carrier, wherein the underwriting manual comprises text describing rules, guidelines and parameters defining a risk appetite of the insurance carrier; processing the underwriting manual using one or more neural network models, the one or more neural network models having been trained with domain-specific data to analyze text across plural underwriting manuals; determining, based on the processing, insurance rules and risk parameters for the text in the underwriting manual; and generating a set of rules based on the insurance rules and risk parameters.

Abstract: A server-client architecture including a host server and a client device. The client device executes a client application that communicably couples to the host server. The host server is configured to receive an input including information related to a particular asset, such as a real property. The host server is configured to access one or more third party databases to enumerate encumbrances upon a seller's title to the particular asset and, in response, generate a grading of a property based on, without limitation, the (1) number and (2) type of encumbrances identified by the third party databases. The grading is thereafter transmitted to the client device for display to a user of the client device.

Abstract: A system comprises a machine interface to display one or more display activation controls, each comprising a status of external grading resources and configured to receive an update signal associated with the external grading resources, a machine controller, a grading processor to generate a grade control signal from the one or more resource effects associated with the external grading resources; and a resource effect control memory structure comprising the one or more resource effects.