The investment, co-led by Apis Partners and Aspirity Partners, will help finance Paymentology’s expansion, product development and hiring, per the release.
“Despite the global payments market being estimated at $49 trillion by 2026, much of the issuing layer remains constrained by legacy infrastructure, limiting innovation, speed and the quality of end-user payment experiences,” the release said. “Paymentology is addressing this gap through its highly configurable, cloud-native platform, enabling real-time processing at scale for clients across 68 countries and giving issuers the flexibility to launch, adapt and manage card and digital payment experiences more efficiently across markets.”
The investment comes amid a growth period for Paymentology, which saw new sales increase 117% during its last fiscal year and transaction volumes grow 65%, according to the release. This has been fueled by demand from digital banks, embedded finance providers, digital asset-linked card programs and expense management platforms, as well as established banks updating their legacy systems.
“The future of finance is already here, but legacy infrastructure continues to hold back innovation,” Paymentology CEO Jeff Parker said in the release. “At Paymentology, we see a significant opportunity to remove that friction and enable our clients to move at the pace the market demands.”
Meanwhile, PYMNTS Intelligence found that nearly half of consumers say they are interested in agentic commerce handling grocery shopping or meal planning, signaling that trust in autonomous purchasing is moving from concept to reality. As demand increases, payment infrastructure is becoming the crucial layer that determines whether agentic commerce can operate safely and seamlessly.
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“Yet most existing systems weren’t designed for this environment,” PYMNTS wrote last month. “Legacy payment infrastructure, built for human-initiated, linear transactions, struggles to support the high-velocity, cross-platform activity generated by autonomous agents.”
These systems often lack the flexibility to process parallel transactions, enforce granular controls or adapt in real time, leading to friction when speed and precision matter most.
