Two founders. One studio. Zero tolerance for AI theatre.
Bynry Foundry is Danny Goh and CK Koay – two people who’ve spent careers building digital products in fintech, healthcare, telecommunications, and professional services. We started this because most “AI transformation” discussions produce presentations, not products.
Who We Are
We’re a boutique digital studio in Malaysia that builds websites, apps, and workflow automation for businesses ready to do something with AI instead of just talking about it.
No account managers to translate your needs. No junior teams learning on your project. No 50-slide decks explaining what could theoretically be done. Just two founders who’ve built enough products to know the difference between impressive demos and systems that work when nobody’s watching.
We work directly with decision-makers who can say yes without a committee. That means faster timelines, fewer misunderstandings, and solutions shaped by people who’ll actually use them.
What We Actually Do
We automate workflows. Document processing. Approval chains. Data entry. Reporting. Anything repetitive enough to warrant fixing instead of tolerating.
We design and build digital products. Full-stack websites. iOS and Android apps. Client portals. Internal tools. The kind of work that requires knowing how to write code, not just how to spec it out for someone else.
We integrate AI where it solves real problems. Chatbots that handle actual customer questions. Content generation that maintains your voice. Analysis tools that surface patterns you’d miss manually. Not AI for the sake of having AI—AI because it handles a specific task better than the alternative.
How We Work Differently
You’re not hiring consultants who research AI for clients. You’re hiring people who’ve already integrated it into how they work, learned what actually delivers value, and can now apply that to your business.
Most agencies have “AI experts” who’ve never shipped an AI-powered product. We have AI running in our own operations—automating internal processes, accelerating development, generating first drafts we edit instead of writing from scratch.
The difference: When we recommend AI for something, it’s because we’ve already used it ourselves and know it works. When we recommend against it, it’s because we’ve tried it and it doesn’t.