Backbase launches AI-native banking OS to unify frontline
Backbase has launched an AI-native Banking OS, which it describes as a new category in banking technology.
The software is designed to sit above a bank's existing core, payments, cards, risk and customer relationship management systems, rather than replace them.
The launch targets a longstanding problem in banking operations: work that falls between separate systems and teams. Drawing on more than 120 deployments, Backbase estimates that about 80% of frontline banking work happens in these gaps, including handoffs, coordination and exception handling.
That matters because banks are trying to apply artificial intelligence to the same areas, yet many of those tasks remain spread across disconnected applications. Backbase argues that fragmentation, rather than a lack of AI tools, is now the main barrier to wider use of AI agents in banking.
"AI agents need shared context, clear authority, and a unified execution layer," said Jouk Pleiter, chief executive officer and founder of Backbase. "Without it, adding more AI accelerates the fragmentation it was meant to solve."
Three layers
The Banking OS is built around three new layers. The first, the Intelligence Layer, is designed to identify signals around risk, revenue and customer churn before they become visible in day-to-day operations.
The second is a semantic layer called Nexus, which creates a single shared customer record across systems so employees and AI agents work from the same information.
The third is an authority layer called Sentinel, which checks actions taken by customers, staff, or AI agents against bank policy in real time and records them for governance purposes.
Backbase describes the broader model as a "Unified Frontline", in which customers, employees and AI agents operate in a single environment across digital channels, front-office functions and operations. This structure is intended to coordinate work across systems, maintain a shared customer view and apply controls before tasks are executed.
Scale claims
The Amsterdam-headquartered group said it exceeded USD $350 million in revenue in 2025 and now serves more than 120 financial institutions across 50 countries. Its clients include Navy Federal Credit Union, TD Bank, Techcombank, Standard Bank Group, Eurobank and Keybank.
Backbase added that it reached a valuation of €2.5 billion before taking its first external investment from Motive Partners in 2022. Founded in 2003, the company has positioned itself as a provider of software for digital banking, retail banking, business banking, private banking, and wealth management.
The launch comes as banks face growing pressure to show practical returns from AI spending while maintaining compliance controls and connecting ageing technology estates with newer digital tools. Many financial institutions have already added automation and data tools, but integration across customer service, onboarding, lending and operations remains uneven.
Backbase says the system is intended to enable banks to scale their customer base, products, and support without a corresponding rise in staff numbers or process complexity. It is called the operating model Elastic Operations.
"Elastic Operations is a state no fragmented bank can match, and it's only possible on a Unified Frontline. That changes the strategic question every bank CEO has to answer in the next five years: can you still afford to run the bank on a fragmented frontline? Can you scale onboarding, credit, and servicing when your employees, your AI, and your customers are all on different systems? The banks that answer those questions now will compound their advantage every quarter. There's no version of the next decade where a fragmented bank wins," Pleiter said.