Exela Technologies Launches New Invoice Financing Platform
Zuma was initially developed to address the large and underserved invoice lending market for businesses, which has been hampered by high underwriting costs. The invoice financing platform allows banks to automate their underwriting processes so that they can create accounts receivable-based lending solutions to compete in the approximately
As a white-labeled product, Zuma seamlessly and rapidly integrates with a lender’s existing backend lending system. When coupled with Exela’s BPA suite, Zuma will also support:
- Automated risk scoring and underwriting based on existing bank lending guidelines
- Exception resolution, including direct client engagement when loan packages are incomplete
- Data retrieval and entry from existing client accounting systems, such as QuickBooks
“We are excited to launch and demonstrate the Zuma platform at Finovate Spring, and to show conference participants and customers how our technology can help automate underwriting processes,” said
To speak with someone to learn more about Zuma, contact Cisco Liquido: Cisco.firstname.lastname@example.org.
About Zuma Liquidity Solutions:
Zuma emerged to address the large and underserved lending market which is limited by high-costs and lack of automation. Zuma’s automation enabled lending platform allows institutions to tap new markets, offering lenders the ability to focus on a particular sector. As a white-label product, Zuma is in discussion with banks and alternate liquidity providers that have expressed interest in the platform.
The lending marketplace will allow institutional investors to register and utilize auto-invest algorithms to match their institution’s risk and sector preferences, allowing for portfolio diversification. The marketplace will consist of five borrowing sectors: Business, Mortgages, Personal, Government-sponsored, Auto.
For Liquidity Institutions, ZLS serves as a platform to make invoice financing a more cost-efficient and transparent process; from borrower acquisition to credit decisioning and payment settlement. We make it more profitable to diversify your portfolio into invoices as an alternative low-risk asset; the auto–invest machine learning algorithms match your institution’s risk preferences to invoice investments. Find out more at https://zuma.global/zlsweb/
Follow Zuma on Twitter: https://twitter.com/@ZumaHQ
Follow Zuma on LinkedIn: https://www.linkedin.com/company/zumatechnologies/
Source: Exela Technologies, Inc.