Singapore-based fintech company Moneythor just rolled out a new artificial intelligence tool for banks. It’s not subtle. It’s not slow. And it’s not about back-office automation. This one’s coming straight for the customer—on their phone, in their feed, and in real time.
The product is called the AI Suite, and it’s being pitched as a personalization engine for banks that want to behave more like Netflix or Spotify than 1990s-era financial institutions. Think tailored prompts, dynamic content, and customer nudges that actually make sense. All of it underpinned by a mix of generative AI, real-time analytics, and language model integrations that learn, adapt, and respond without needing constant human tweaking.
And here’s the thing: Southeast Asian banks, usually careful and conservative, are already biting.
An AI-Driven Push for Hyper-Personalisation
Moneythor’s AI Suite is built to fix what banks have long struggled with: making digital banking feel personal. Martin Frick, the firm’s CEO, says traditional institutions have the data, but not the tools or mindset to use it well.
“Built-for-purpose AI is the missing ingredient in delivering deep banking,” Frick said, calling out the industry’s failure to keep up with how consumers actually use their phones. “Banks are at the heart of daily life. Why shouldn’t their services reflect that?”
This isn’t just another chatbot or a better way to surface mortgage ads. The new tool taps directly into customer behavior and intent. Want to prompt a Gen Z user to save for a vacation or nudge a new homeowner toward smarter insurance options? The AI Suite can script, deliver, and tweak that interaction without needing someone to manually approve every sentence.
One short paragraph here: It’s also not a walled garden. Banks can feed in their existing systems, data lakes, and content pipelines without starting from scratch.
From Side Project to Strategic Pivot
Moneythor didn’t just stumble into AI. The fintech has been around for over a decade, mostly behind the scenes, working with giants like DBS, ANZ, and Standard Chartered. But this rollout marks a sharp shift from enabling backend intelligence to powering what customers see, read, and do.
Over the last 13 years, Moneythor built a reputation as a smart data shop. The AI Suite leverages that same infrastructure—but pushes it to the front of the digital experience. This means content that adapts to real-time changes in a customer’s transaction patterns, language models that shift tone based on mood or urgency, and features that reconfigure based on performance.
• Banks can use the AI Suite to launch campaigns in real time, with results fed back into the system to improve the next round
• Content isn’t hard-coded. It’s generated, tweaked, and localized on the fly
• There’s no need to retrain LLMs for each campaign—the tool adapts contextually
This helps explain why traditional players like Trust Bank and RHB Bank are already signed up, even though many banks only recently started warming to AI in public-facing applications.
Why Now? Two Big Pushes: MiCAR and Customer Expectations
So what changed? A couple things.
First, there’s regulation. The European Union’s new Markets in Crypto-Assets Regulation (MiCAR) set a standard. By laying out a clear legal framework for how AI and crypto can coexist in banking, it gave conservative banks the green light to experiment without flying blind.
Second—and maybe more important—is consumer behavior. Frick said banks are under pressure to deliver “the kind of experience customers are familiar with from consumer or lifestyle apps.” That means fewer PDFs, less jargon, more real-time insights, and a lot more emotional intelligence in digital banking.
One-sentence paragraph here: People don’t want banking—they want help.
A Global Play from a Singapore Base
While Moneythor is proudly Singaporean, the company has ambitions that stretch far beyond Marina Bay. It already has offices in Tokyo, Paris, Sydney, Dubai, Miami, and Riyadh. Its client list reads like a who’s-who of both old-money banks and digital upstarts: NAB, Booster, Orange Bank, and Standard Chartered are all in.
To get a sense of how fast this shift is happening, take a look at the firm’s global expansion timeline:
| Year | Expansion Location | Notable Wins |
|---|---|---|
| 2020 | Sydney | NAB Partnership |
| 2021 | Paris | Orange Bank |
| 2022 | Tokyo | Embedded AI Pilot |
| 2023 | Riyadh | Personalization Engine Deployment |
| 2024 | Miami | B2B Fintech Onboarding |
| 2025 | Singapore (HQ) | Launch of AI Suite |
That sort of momentum tells you banks aren’t just curious. They’re hungry.
Pressure from Fintech Peers and a New Bar for Engagement
Banks aren’t just racing against their peers anymore. They’re up against Apple, Google, and TikTok in the race for consumer attention. That means expectations have changed.
Banking apps, which used to be nothing more than balance checkers, are now expected to recommend products, show spending habits, and maybe even cheer you on for hitting your savings goal.
And fintechs like Moneythor are banking on that shift—literally.
This also raises a broader question: If banks finally crack personalization at scale, what happens to all the fintech startups built around solving that very problem? Do they partner up or get pushed out?
One-sentence paragraph again: It’s too early to say, but AI Suite is clearly Moneythor’s move to be the one doing the pushing.
