QUASH.ai, a Miami, Florida-based artificial intelligence platform for improving credit origination for financial institutions in Latin America, received $3.7 million in Seed Round
Backed by well-known investors in Silicon Valley, including angels such as Alex Porto from Riverwood Capital, Barak Kaufman as a scout from Insight Partners, as well as HTwenty, G2 Momentum, and Q Capital Venture Capital firms.
The new capital will enable QUASH to expand its reach and provide its services to over 1,000 financial institutions in the next three years.
As a result of this new investment, QUASH plans to expand its services to more financial institutions in the coming years. With the aim of increasing credit originations by 20% without additional risk, more than 100 financial institutions are expected to use QUASH by 2023.
"We are thrilled to receive this investment and look forward to expanding our reach and helping even more financial institutions increase their credit originations," said Yoel Gavlovski, CEO and founder of QUASH.ai. "We are dedicated to providing credit risk managers with the technology they need to make informed decisions and improve the lives of individuals and Small & Medium Businesses in Latin America."
The QUASH platform is designed to tackle the issue of inaccessible credit for many individuals & Small & Medium Businesses in Latin America.
QUASH is a co-pilot for credit risk managers, helping them automate credit decision-making processes efficiently. With 70% of its clients concentrated in Mexico and Brazil, QUASH is well-positioned to continue growing and serving the needs of financial institutions in the region.
Round: Seed Round
Funding Month: February 2023
Additional Investors: Alex Porto, Barak Kaufman, HTwenty, G2 Momentum, and Q Capital Venture Capital firms
Company Website: https://quash.ai/
Software Category: AI Credit Engine
About the Company: Founded by Yoel Gavlovski in 2019, QUASH.ai is an that makes it easier for Financial Institutions to increase credit approvals without increasing risk by enriching what they know about their applicants with Alternative data and auto-machine learning. The platform has pre-trained models for 14 financial products, fed by over 30 million repayment events in 10 Latin American countries.