The team behind WhiteHorse AI
We started WhiteHorse AI because we kept seeing the same problem — businesses spending serious money on AI that looked great in demos but didn't survive contact with reality. We decided to build the thing we wished existed.
Co-Founder
Alex Sidhu
Sydney, Australia
I love building products that actually move the needle for businesses. That means I'm involved across the full stack — from how a system is designed to how it gets adopted and whether it's generating real results. I do technical work, not just strategy.
WhiteHorse AI is my second business. My first I started right out of university — built it up, then automated significant parts of it. That's what got me deep into AI and what convinced me there was a serious opportunity in helping other businesses do the same.
I studied Mechatronic Engineering, Economics and Philosophy at the University of Sydney and UNC Chapel Hill. Outside of work I think a lot about philosophy, follow basketball and cricket closely, and I always have a new idea on the go.
Co-Founder
Alex Swan
Sydney, Australia
I focus on the product and engineering side of WhiteHorse AI — making sure what we build is practical, reliable, and genuinely useful. The gap between a polished demo and something that holds up in a real business is where most AI projects die. That's the gap I care about closing.
Before co-founding WhiteHorse AI, I worked across engineering and product roles at Luxury Escapes and Fenero. That experience shaped how I think about what good actually looks like — not just technically, but in terms of real-world outcomes for the businesses using it.
I studied Computer Science at UNSW and am based in Sydney.
Why we started WhiteHorse AI
Most AI vendors sell the dream. We sell the outcome. There's a big gap between a polished demo and something that runs reliably in a real business — and that gap is where most AI projects die.
We started WhiteHorse AI to sit on the right side of that gap. Every system we build is designed around how your business actually works — your SOPs, your team, your edge cases — not a generic template dressed up to look custom.
We stay deliberately lean — two founders and a team of AI agents we've put to work on our own operations. It means we move fast, stay close to the results, and only take on clients where we know we can make a real difference.
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