Nomupay Raises $37M to Expand Unified Payments Platform in Asia

Nomupay, a Dublin-based payment infrastructure provider, has successfully secured €35.9 million ($37 million) through an investment round aimed at expanding its unified payments platform across Asian markets. This strategic move is driven by the necessity to address market fragmentation in the region, where merchants often struggle with varying regulations and diverse payment preferences. Nomupay’s technology facilitates the processing of online payments, point-of-sale transactions, and payouts through a single API integration, eliminating the need for companies to manage multiple regional relationships.

Funding and Investment Support

The recent funding of €35.9 million ($37 million) comprises an €11.6 million ($11.9 million) investment led by Endeit Capital, a European growth equity firm, and includes participation from Uneti Ventures, a firm backed by former Adyen employees. Additionally, existing investors contributed €24.2 million ($24.9 million) over the past 18 months, highlighting sustained support for Nomupay’s growth plans.

Innovative Payment Solutions

Nomupay’s unified platform operates on a gateway-agnostic model, allowing merchants to connect with multiple payment providers without establishing direct relationships. This significantly reduces the technical integration burden for companies entering Asian markets. Chief Executive Officer Peter Burridge emphasized that many organizations are currently beholden to dominant global gateway acquirers, which often provide limited regional access and payment method options.

Growth and Acquisitions

Founded in 2021, Nomupay has reported a 100% annual growth rate over two years and anticipates reaching profitability by 2025. The company’s expansion strategy includes both organic growth and strategic acquisitions. Notably, in 2023, Nomupay acquired Total Processing, a Manchester-based payment services provider, enhancing its presence in the UK market.

Industry Expertise and Regional Expansion

To support its regional growth, Nomupay has onboarded payment industry veterans, including Judith Loh, formerly of Worldpay, and Alson Lau, previously with BBSML. Jonne de Leeuw, Partner at Endeit Capital, praised Nomupay for addressing a significant deficiency in the payments landscape by bringing innovation and enhanced access to the EMEA and APAC markets.

Future Plans and Market Impact

Nomupay’s regional expansion plans include establishing local teams and partnership networks in additional markets such as Indonesia, Japan, and Vietnam. The company’s aim is to alleviate the technical challenges faced by Payment Service Providers (PSPs) and Independent Sales Organizations (ISOs) when navigating the complex regulatory environments of various Asian countries.

Strategic Importance

Nomupay, a payment infrastructure provider based in Dublin, has successfully raised €35.9 million ($37 million) through an investment round to enhance its unified payments platform in Asian markets. This strategic effort aims to tackle market fragmentation in the region, where merchants frequently face challenges due to different regulations and a variety of payment preferences. Nomupay’s technology streamlines the processing of online payments, point-of-sale transactions, and payouts by offering a single API integration. This eliminates the need for businesses to manage multiple regional relationships, providing a more efficient and cohesive solution. The funding will enable Nomupay to expand its reach and improve its services, making it easier for merchants to navigate the complexities of the Asian payment landscape. By addressing these challenges, Nomupay is positioned to facilitate smoother and more streamlined financial transactions across Asia, benefiting both merchants and consumers alike.

Explore more

How Does Martech Orchestration Align Customer Journeys?

A consumer who completes a high-value transaction only to be bombarded by discount advertisements for that exact same item moments later experiences the digital equivalent of a salesperson following them out of a store and shouting through a megaphone. This friction point is not merely a minor annoyance for the user; it is a glaring indicator of a systemic failure

AMD Launches Ryzen PRO 9000 Series for AI Workstations

Modern high-performance computing has reached a definitive turning point where raw clock speeds alone no longer satisfy the insatiable hunger of local machine learning models. This roundup explores how the Zen 5 architecture addresses the shift from general productivity to AI-centric workstation requirements. By repositioning the Ryzen PRO brand, the industry is witnessing a focused effort to eliminate the data

Will the Radeon RX 9050 Redefine Mid-Range Efficiency?

The pursuit of graphical fidelity has often come at the expense of power consumption, yet the upcoming release of the Radeon RX 9050 suggests a calculated shift toward energy efficiency in the mainstream market. Leaked specifications from an anonymous board partner indicate that this new entry-level or mid-range card utilizes the Navi 44 GPU architecture, a cornerstone of the RDNA

Can the AMD Instinct MI350P Unlock Enterprise AI Scaling?

The relentless surge of agentic artificial intelligence has forced modern corporations to confront a harsh reality: the traditional cloud-centric computing model is rapidly becoming an unsustainable drain on capital and operational flexibility. Many enterprises today find themselves trapped in a costly paradox where scaling their internal AI capabilities threatens to erase the very profit margins those technologies were intended to

How Does OpenAI Symphony Scale AI Engineering Teams?

Scaling a software team once meant navigating a sea of resumes and conducting endless technical interviews, but the emergence of automated orchestration has redefined the very nature of human-led productivity. The traditional model of human-AI collaboration hit a hard limit where a single engineer could typically only supervise three to five concurrent AI sessions before the cognitive load of context