Capital One Services, LLC

Alan Ilango

Dinesh Sundaram

Raman Bajaj

Sanjiv Yajnik

Rajaboopathy Vijayaraghavan

Trent Jones

Jacob Creech

Thomas Sickert

Jacques Morel

Hala Salim El-Ali

Alex Baird

Katelyn Ge

Avijit Sarkar

Ishu Gupta

Vikramaditya Repaka

Hala Salim Eli-Ali

The system and methods described herein allow users to give their applicant information to at least one entity when seeking to submit an inquiry associated with an item, and have various lender microservices run in parallel, segregated by entity, in a jailed environment. The result of these microservices may be returned as a response to the inquiry, being determined autonomously for each respective entity based on one or more respective rule sets or executable logic for each respective entity. Payloads for multiple entities may be combined in a single output from the jailed environment due to outputs from the environment being encrypted in a universal format.

Jailed environment restricting programmatic access to multi-tenant data

The system and methods described herein allow users to give their applicant information when seeking to submit an inquiry associated with a product provided by at least one entity, and have various lender microservices run in parallel, segregated by entity, in a jailed and self-contained, autonomous environment. The result of these microservices may be returned as a response to the inquity, being determined autonomously for each respective entity based on one or more respective rule sets or executable logic for each respective entity. Payloads for multiple entities may be combined in a single output from the jailed and self-contained environment due to outputs from the environment being encrypted in a universal format, wherein the outputs are decrypted in a user session in an application, allowing the user to see the results of the respective responses of each of the at least one entity, to their inquiry.

The system and methods described herein allow users to apply for a purchase of a good from multiple providers using provider specific methodologies for generating offers for the product. For example, the system described herein may include a multi-layer architecture that includes interactive micro-services that communicate together in a bi-directional manner to create a normalized process for the purchase of a good, such as commercial goods/products (e.g. a vehicle) or real property. The micro-services may assess prequalification for a loan or financing for a good, followed by determining eligibility of the good for financing, and further followed by calculating pricing details for loans (e.g. for financing purchase of the good) that would be offered for a consumer's particular financial credentials, for each of a plurality of lenders. Prequalification and pricing may be performed on a good by good basis, or for a plurality of goods near or substantially simultaneously.

Multi-lender platform that securely stores proprietary information for generating offers

A multi-lender architecture evaluates applicant data against lending rule sets of multiple lenders. Rule sets provided by different lenders may be expressed differently. The multi-lender architecture transforms the rules in each rule set and represents the rules in a normalization grid. The normalization grid allows a single algorithm to evaluate the rules of different lenders.

Normalization grid for secured multi-lender platform

Multi-lender platform that securely stores proprietary information for pre-qualifying an applicant

Normalization grid

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McKinney, TX, United States of America

Alan Ilango