Singapore-based fintech company CrediLinq has raised US$8.5 million in a series A funding round announced on May 16, 2025.

The round was led by OM/VC and MS&AD Ventures, with new investors Citi North America and Rustem Family Office joining returning investors 500 Global, Epic Angels, 1982 VC, and Big Sky Capital.

The funds will help CrediLinq expand into the United States, United Kingdom, and Australia.

The company also plans to enhance its technology by improving its AI-driven credit algorithms.

CrediLinq’s platform integrates credit solutions across sectors like ecommerce, supply chain, and banking. It has partnerships with Amazon, Lazada, and TikTok Shop.

🔗 Source: CrediLinq

🧠 Food for thought

1️⃣ Embedded finance reaches inflection point amid massive projected growth

CrediLinq’s $8.5 million funding arrives at a pivotal moment for the embedded finance sector, which is projected to reach $7.2 trillion in market value by 2030 1.

This capital raise aligns with industry predictions that 2025 will be a breakthrough year for embedded finance adoption at scale, as software platforms increasingly integrate financial services directly into their offerings 2.

The trend toward embedded finance represents a fundamental shift in how financial services are delivered, moving from standalone fintech applications toward seamless integration within non-financial platforms, similar to how the internet, cloud, and mobile became foundational technology layers 3.

For businesses adopting these solutions, the primary benefits include simplified transactions, improved customer retention, new revenue streams, and enhanced operational insights through financial data 4.

2️⃣ The transformation of lending spans centuries, with AI as the latest evolution

CrediLinq’s AI-powered credit algorithms represent the latest chapter in the evolution of lending, which dates back to ancient Mesopotamia’s first credit systems around 1754 BCE 5.

Just as technological advancements in the 1950s-70s revolutionized lending through credit cards and computerized systems, today’s AI-driven solutions are transforming how credit decisions are made—enabling real-time processing and personalized financial services 1.

The integration of AI into credit decisioning addresses traditional inefficiencies that have persisted throughout lending history, particularly for small and medium enterprises that have historically faced challenges accessing capital 6.