CrediLinq, a Singapore-based embedded finance platform for B2B transactions powered by AI, has secured $8.5m in a Series A funding round.
The round was led by OM/VC and MS&AD Ventures, with participation from new backers including Citi North America and Rustem Family Office. Returning investors included 500 Global, Epic Angels, 1982 VC and Big Sky Capital.
Founded to help digital-first small and medium-sized enterprises (SMEs) gain access to capital, CrediLinq provides an API-centric Credit-as-a-Service infrastructure. Its platform enables banks and digital platforms to offer embedded lending products tailored for the procurement, e-commerce, freelancing, supply chain, and payments sectors. The firm is already integrated with major e-commerce platforms such as Amazon, Lazada, and TikTok Shop.
The newly secured funds will support CrediLinq’s international expansion into the United States, United Kingdom and Australia. It also plans to invest in strengthening its executive team across sales, marketing, product, and technology. A key focus will be on enhancing its AI-driven credit scoring and decisioning capabilities to support a broader global reach.
CrediLinq founder and group CEO Deep Singh said, “Today marks a pivotal moment for CrediLinq as we accelerate the growth of embedded finance globally, helping platforms empower digital native SMEs with flexible, transparent and seamless access to capital. With this new funding, we are excited to deepen our partnerships, expand into new markets, and invest in talent and technology that will support the next phase of our growth.”
CrediLinq co-founder Vikram Kotibhaskar added, “The embedded credit revolution continues to gain momentum, and CrediLinq is at the forefront. By being integrated within platforms, our Credit-as-a-Service stack leverages API connectivity, transactional data and credit algorithms for quick decision-making and easy checkout within the partner ecosystem. This results in a fast, frictionless and transparent customer experience and platform partners benefit with higher stickiness, trust, and scalability.”
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