Hong Kong Island · Applied AI
AI fraud detection in Cyberport
AI fraud detection that lives in your stack, not on a vendor's roadmap. Shipped from Hong Kong Island.
What AI fraud detection actually does
Pattern-watching AI for refund abuse, chargebacks, fake reviews, employee fiddles, and odd supplier invoices. Flags weirdness early – before it's a real problem.
The reason we take on work in Cyberport is that the businesses here tend to be sharper about what they want than the brief lets on. AI fraud detection for a Cyberport team almost always ends up looking different to AI fraud detection for a downtown Auckland one.
- 01 Learns your normal patterns and flags outliers
- 02 Daily anomaly report, not a constant alert flood
- 03 Explainable scoring so you can act with confidence
- 04 Integrates with Xero, Shopify, and POS systems
Built on: Claude DuckDB Postgres Vercel
Why Cyberport businesses choose this
Cyberport is Hong Kong's dedicated tech and fintech precinct, purpose-built to house the city's startup and digital economy – AI here is judged by founders and engineers, not procurement committees.
Our field notes from Cyberport builds.
A government-backed tech park concentrating fintech, AI and digital media startups alongside venture capital and accelerator programs. Businesses here expect AI built with real technical rigor, since many of them build software themselves.
We work with teams across Cyberport: Pok Fu Lam · Telegraph Bay · Wah Fu · Aberdeen.
How we build AI fraud detection for a Cyberport team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cyberport business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI fraud + anomaly.
The outcome for Cyberport teams
The shape of the result for Cyberport teams: Recovers 3-5x its cost in caught fraud within 6 months. Built on Claude, hardened with the rest of the stack as it scales.
Recovers 3-5x its cost in caught fraud within 6 months.
AI fraud detection in Cyberport – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI fraud detection worth it for a smaller Cyberport?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Do you have proof this works for Cyberport businesses?
Direct case study: Recovers 3-5x its cost in caught fraud within 6 months. Happy to walk you through full numbers on a call.
What tools do you build AI fraud detection on?
For AI fraud detection we usually reach for Claude, DuckDB, Postgres, Vercel. We're tool-agnostic at heart – we pick what your Cyberport team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.