Capital One Services, LLC

Deep Node, Inc.

Hatchb Labs, Inc.

3d Data LLC

Benjamin Lindquist

Zviad Aznaurashvili

Dan Givol

Victor Mayaki

Timur Sherif

Richard Snyder

Vijay Chakilam

Carl Fairbank

M Firoze Lafeer

Douglas Lanzo

A device may receive access information that permits access to messages associated with an electronic messaging account. The device may process the messages associated with the electronic messaging account to identify one or more of the messages that include at least one coupon after receiving the access information. The one or more of the messages may be identified using at least two of an image processing technique, a text processing technique, or a code processing technique. The device may store information identifying the one or more of the messages that include the at least one coupon after processing the messages. The device may perform one or more actions to facilitate use of the at least one coupon in association with completing a transaction.

Processing messages for value extraction

A device may receive transaction information that identifies a set of third parties. The device may process messages in an electronic messaging account using a set of processing techniques after receiving the transaction information. The device may identify, in the electronic messaging account, a first set of messages associated with the set of third parties. The device may determine a manner in which to configure a user interface of an application associated with a user device to display the first set of messages based on the transaction information. The device may provide a set of instructions to the user device to configure the user interface of the application to display the first set of messages.

Dynamic re-configuration of a user interface based on transaction information

A system for verifying a user identity. The system comprises one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive information associated with an account of a user. The processors are further configured to generate a first profile, where the first profile being related to the user. The processors also receive an indication that the account is accessed by an accessor through an accessor device; and receive, from the accessor device, identity data comprising a plurality of data subsets associated with the accessor. The processors are configured to store the data subsets in respective clusters. The processors are further configured generate cluster analyses by analyzing the data subsets in respective clusters; and output the cluster analyses to node instances that weighs the cluster analyses outputs. The processors also generate a second profile, the second profile related to the accessor and being based on the received identity data and weighted cluster analysis. And the processors are configured to determine a likelihood factor that the accessor is the user based on a comparison of the first profile and the second profile.

Methods and processes for utilizing information collected for enhanced verification

A system for verifying a user identity. The system comprises one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive information associated with an account of a user. The processors are further configured to generate a first profile, where the first profile being related to the user. The processors also receives an indication that the account is accessed by an accessor through an accessor device; and receive, from the accessor device, identity data comprising a plurality of data subsets associated with the accessor. The processors are configured to store the data subsets in respective clusters. The processors are further configured generate cluster analyses by analyzing the data subsets in respective clusters; and output the cluster analyses to node instances that weighs the cluster analyses outputs. The processors also generate a second profile, the second profile related to the accessor and being based on the received identity data and weighted cluster analysis. And the processors are configured to determine a likelihood factor that the accessor is the user based on a comparison of the first profile and the second profile.

A device may receive location information that identifies a location of a user device associated with an individual. The location information may be received from the user device. The device may determine a distance between the location of the user device and each of a set of third party locations of a set of third parties using a digital map after receiving the location information. The device may provide a set of instructions to configure a user interface of an application associated with the user device to display messages of an electronic messaging account associated with the set of third parties after determining the distance between the location of the user device and each of the set of third party locations.

Dynamic re-configuration of a user interface based on location information

A trained neural network that is configured to generate predictions for periods of time in the future based on input data can be received, where the neural network is trained using training data that includes time series data segmented into windows. Observed time series data can be processed to generate the input data. Using the trained neural network and the generated input data, data predictions can be generated. The predictions can be provided to a reinforcement learning model configured to generate predicted outcomes, where the reinforcement learning model varies parameters to simulate conditions for a first and second entity, and an artificial intelligence agent simulates actions performed by one of the first and second entities, the data predictions being a parameter for the simulation. Parameters for the first and second entities can be selected, where the selected parameters correspond to a predicted outcome that meets a criteria.

Simulation-based controls optimization using time series data forecast

A system for verifying a user identity is disclosed. The system is configured to generate a first profile related to the user and receive an indication that the account is accessed by an accessor through an accessor device. The system receives, from the accessor device, identity data associated with the accessor. The system is configured to store the identity data subsets in clusters, analyze the clusters, and output the cluster analyses to node instances that weighs the cluster analyses outputs. The system also generates a second profile related to the accessor based on the received identity data and weighted cluster analysis. The system determines a likelihood factor that the accessor is the user based on a comparison of the first profile and the second profile.

A dynamically configured tree form and corresponding graphical elements graphically represent information contained in a live stream of event data. The tree form is positioned in virtual three dimensional space within a computer graphical user interface such that the root of the tree is in the center of the screen, originating at the farthest distance from the viewer along the z axis. The tree form is configured to guide movement of the three dimensional graphical elements which represent individual measurements of events during specific time periods. The outermost, or leaf, portions of the tree represent the present time. The root or base of the tree represents the maximum duration that is being measured.

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Falls Church, VA, United States of America

Benjamin Lindquist