The startup develops digital financial software that verifies customer data accuracy and retrieves relevant data points for mortgage applications based on documents provided by brokers. This platform enables faster lending decisions for lenders and simplifies the mortgage process for customers, improving overall outcomes.
Funding
$47.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mortgage lenders and brokers face challenges in efficiently verifying customer data and retrieving relevant information from documents during the mortgage application process. Manual data extraction and validation are time-consuming, prone to errors, and can lead to delays in lending decisions. This can result in increased operational costs and a less-than-ideal experience for customers seeking mortgage financing.
Solution
MQube's Origo platform streamlines the mortgage origination process by automating data assessment and decisioning. The platform uses AI-powered document extraction and data validation to instantly verify data inputs and trigger adaptive questions, ensuring data integrity and completeness. By integrating data assessment and decisioning into a single, real-time process, Origo enables lenders to make faster, more accurate mortgage decisions while reducing operational costs and improving customer satisfaction. The platform's composable decisioning engine allows lenders to define and refine lending criteria and seamlessly integrate with existing operations.
Target Audience
MQube primarily targets mortgage lenders and brokers seeking to automate and streamline their mortgage origination processes, reduce operational costs, and improve the customer experience.
Features
- AI-powered document extraction technology for automated data capture
- Real-time data validation and integrity checks
- Composable decisioning engine for configurable lending rules
- Integrated affordability model combining analytics, API integrations, and ONS data
- Automated underwriting from initial data input
- Real-time insights from 28 integrated APIs for compliance reporting and auditing
- Support for flexible workflows and rule configurations to manage fraud and AML referrals