LenderLink, a pioneering FinTech based in the Philippines focused on improving credit data infrastructure, has successfully closed its first external funding round.
The company secured $1.25m in an oversubscribed pre-seed round, with investments from Kaya Founders, Iterative, Founders Launchpad, and local business angels including Manila Business Angels.
LenderLink is developing the first high-tech, real-time credit bureau in the Philippines. Its mission is to modernise the country’s consumer lending market by enabling lenders to access and report credit risk data instantly. Through its API-first platform, the firm aims to lower borrowing costs by tackling high default rates and advancing financial inclusion.
The newly raised funds will be used to enhance LenderLink’s technology, expand its market presence, and establish partnerships with key lenders and financial institutions. These efforts are intended to help reshape the Philippine lending landscape, offering better credit risk assessment tools for lenders and fairer access to credit for consumers.
Already integrating over 25 million records across five ecosystems, LenderLink is building an exclusive network where early adopters benefit from improved lending terms and access to high-quality real-time credit data.
LenderLink CEO Christo Georgiev said, “We’ve spent years in fintech and observed that one of the biggest barriers to affordable lending in emerging markets is the lack of real-time credit data infrastructure.
“With this funding, we are addressing this foundational problem by bringing credit into the tech age, leveraging AI, data science, and automation to empower lenders while enabling consumers to rehabilitate their credit profiles faster and more safely.”
Kaya Founders general partner Ray Alimurung said, “What sets LenderLink apart isn’t just the technology—it’s the caliber of the founding team and the clarity of their vision. Founders Christo Georgiev, Dimitar Manolov, Dimo Hristov, and Petya Dimitrova bring to the table deep domain expertise in fintech, credit assessment, and data science. Their years of industry experience has helped to inform their insight that lenders can only make optimal lending decisions through real-time credit intelligence.”
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