Paymentology has secured $175 million in new investment, co-led by Apis Partners and Aspirity Partners. The round is aimed at pushing the company’s next phase of growth, with a clear focus on global expansion, product development, and team scaling. The company sits in issuer processing, a layer of payments infrastructure that often stays invisible until it breaks.

The raise and what it signals

This deal brings together two investors with deep exposure to financial infrastructure and payments. Apis Partners, investing through Apis Growth Fund III, marks its 16th payments deal. Aspirity Partners joins as co-lead, making this its first investment from its inaugural fund.

Both investors are backing the same view: issuer processing is still structurally underserved, and demand for modern infrastructure is accelerating as digital payments expand globally.

For Paymentology, the capital is not positioned as a reset. It is fuel for scale.

The bottleneck in issuer processing

Global payments are estimated at $49 trillion by 2026, but a large part of the issuing stack still runs on legacy systems. That creates friction in areas that should be fast and flexible, like launching card programmes or adapting payment products across markets.

Issuer processing sits right in that gap. It determines how quickly financial institutions can move from idea to product, and how well they can support real-time, multi-market payment experiences.

Paymentology’s positioning is straightforward. It offers a cloud-native issuing platform designed to operate across markets without requiring heavy infrastructure rebuilds on the client side.

Where the capital goes

The company plans to use the investment to support three main areas: global expansion, product development, and strengthening its team.

It already operates across 68 countries and supports clients close to 70 markets globally. That footprint includes digital banks, fintechs, embedded finance providers, and established financial institutions modernising legacy systems.

The platform also spans high-growth regions including the Middle East, Latin America, Africa, and APAC.

Alongside geographic expansion, Paymentology is also extending its product direction into adjacent areas such as credit, stablecoin-linked programmes, tokenisation, and AI-driven services.

Growth signals and market demand

Momentum inside the business has been strong. New sales increased 117% year-on-year in FY25, while transaction volumes grew 65%. That growth reflects demand from both newer fintech players and traditional banks shifting away from older infrastructure.

Clients include well-known digital financial services and neobanks such as M-Pesa by Safaricom, GoTyme, Wio Bank, and others operating in fast-scaling markets.

The consistent theme is the same across segments. Institutions want faster product rollout cycles and less dependency on rigid issuing systems.

Key takeaways for fintech startups

This deal highlights where attention is shifting in payments infrastructure and what modern issuers are optimising for.

• Issuer processing is moving closer to core infrastructure conversations, not just back-end operations
  
  
• Cloud-native issuing platforms are becoming a baseline expectation for speed and flexibility
  
  
• Growth is being driven by both digital-first fintechs and incumbent banks replacing legacy systems
  
  
• Expansion across emerging markets is a key driver of transaction volume and product adoption
  
  
• Adjacent services like tokenisation and AI-driven tooling are now part of the issuing roadmap

If you are building in payments or scaling a financial product, this shift is worth paying attention to. Reach out if you want to explore how infrastructure choices shape growth.

Banks are in a slightly awkward phase with AI right now. Every executive presentation mentions it. Every vendor says they are “AI-native.” Every board wants a roadmap yesterday. At the same time, most banks still run on layers of legacy infrastructure that were never designed for large-scale AI operations in the first place. That tension sits at the center of the new partnership between Backbase and Atos.

The two companies announced a strategic partnership focused on helping financial institutions roll out AI-driven transformation programs across regions including Africa, Asia Pacific, the Middle East, Portugal, Spain, Southeast Europe, Switzerland, and Turkey. The agreement combines Backbase’s AI-native Banking OS with Atos’ systems integration, sovereign cloud infrastructure, cybersecurity, and delivery capabilities.

This partnership is really about governance

The interesting part is not the phrase “AI-driven transformation.” Everyone says that now. The interesting part is the focus on governance, sovereignty, and operational control. For most banks, the challenge is no longer whether to experiment with AI. That phase is already happening. The harder question is how to deploy AI inside environments that are heavily regulated, geographically fragmented, and politically sensitive around data ownership. Especially across markets with stricter sovereignty expectations, banks cannot simply push sensitive operations into loosely governed AI systems and hope compliance teams stay comfortable with it.

This partnership seems designed to reduce exactly that fear. According to Backbase Global VP Partnerships and Alliances Ricardo Ribelles, the goal is to close the gap between AI ambition and the operational reality of running those capabilities at scale inside compliant architectures that meet local data sovereignty requirements. Atos Head of International Markets Daniele Principato focused on a similar point: banks want innovation without losing regulatory standing or control over their data.

Banking infrastructure priorities are shifting again

The wording from both companies reflects a broader shift happening across fintech and banking infrastructure. A few years ago, the conversation was mostly about speed. Launch faster. Digitize faster. Move to cloud faster.

Now the industry is entering a more mature phase where resilience, governance, interoperability, and operational ownership are back in focus. Slightly less exciting for conference panels maybe, but far more relevant for actual banking operations. The partnership also highlights another reality: banks increasingly want fewer fragmented systems. The promise of a single operating model that connects customer lifecycle management, frontline operations, and AI capabilities becomes more attractive as institutions get tired of stitching together disconnected platforms. Whether these modernization partnerships fully deliver is always the harder part.

Integration projects in banking have a long history of becoming expensive multi-year exercises. Still, the direction here makes sense. Banks want AI capabilities, but they also want guardrails, control, and regional compliance built into the architecture from day one.

Key takeaways for fintech startups

Here are a few things fintech founders should pay attention to:

• AI adoption in banking is increasingly tied to governance and sovereignty, not just product capability.
  
  
• Large financial institutions are moving away from fragmented architectures toward unified operating models.
  
  
• Infrastructure, compliance, and systems integration are becoming part of the AI conversation again.
  
  
• Regional delivery capabilities still matter heavily in banking partnerships.
  
  
• Enterprise AI deals are shifting from experimentation toward operational deployment at scale.

If you’re building fintech infrastructure, growth strategy, or modernization products for financial institutions, this shift is worth watching closely. Feel free to reach out if you want help positioning your startup.