Alegeus Technologies, LLC

John Bull

Chris Rodkey

Mark Neuville

Christopher Rodkey

Steven Auerbach

Jennifer Irwin

A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface ('API') configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Systems and methods for allocating resources via information technology infrastructure

Detecting and controlling fraud in centralized processing is provided. A system receives data packets carrying electronic transactions, and clusters the electronic transactions based on an intermediary identifier of each of the electronic transactions to identify a first cluster and a second cluster. The system generates a first model for the first cluster and a second model for the second cluster. The system detects a fraudulent electronic transaction having a first source identifier. The system locks a first data structure to prevent transfer of a first resource in electronic transactions associated with the first source identifier. The system identifies source identifiers associated with the first cluster in a first tier. The system locks absent detection of the fraudulent electronic transaction in one or more electronic transaction associated with the source identifiers, the data structure corresponding to each of the source identifiers in the first cluster.

Fraud detection and control in multi-tiered centralized processing

The present solution is generally directed to dynamic state-driven centralized processing that manages remote procedure calls. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition, and provide dynamic-state-driven processing.

Dynamic state-driven centralized processing

The present solution is generally directed to managing remote procedure calls in centralized processing. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition.

Manage remote procedure calls in centralized processing

Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Systems and methods for allocating resources using information technology infrastructure

The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

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Nashua, NH, United States of America

John Bull