I didn't grow up planning to build AI companies. I started my career as a pharmaceutical chemist making $55,000 a year. The work was steady. The trajectory was flat. I wasn't building anything that was mine.
Four years later, I run two profitable AI companies with 40+ employees between them. I work from a lake house in Texas when I want to, or from anywhere else when I don't. I built the life by building systems — and I did it by learning AI before most service business owners knew what it could do.
The two companies
KingCaller AI is an AI-powered sales automation platform built for weather-dependent businesses — roofers, HVAC companies, restoration shops. It answers calls, qualifies leads, and books inspections during storm spikes when human teams can't keep up.
SimpliScale is the custom side. We build bespoke AI automation for service companies doing $1M+ a year. No generic SaaS templates. Every system is engineered around the operator's actual workflow — their CRM, their call flow, their sales process. Combined, our work has generated $108M+ in AI-driven sales for clients.
Why I only speak from operating experience
There's a flood of AI gurus on the internet right now. Most of them have never run an operation that hires, fires, schedules, or invoices. They're selling courses about a job they've never done. I don't do that. I share what I'm building, what's working, what broke, and what we fixed — because that's the only useful version of this conversation.
If you run a business doing seven or eight figures, and you're wondering what AI actually changes about your day-to-day — that's the conversation I'm in. Not theory. Not hype. The real mechanics of recovering missed revenue, compressing response times, and pulling owner-operators out of the inbox.