A builder, first.
My technical foundation is entirely self-taught — no computer-science program, no bootcamp. I learned the way the best engineers always have: by building real systems under real constraints, then pushing past where they break. That compounded into rare end-to-end command of the modern AI stack — agentic systems and multi-step pipelines, retrieval-augmented generation, model fine-tuning, real-time voice AI, full-stack deployment, and increasingly the hard edge of it: drone and UAS autonomy, where intelligence has to run onboard, in real time, with no second chances.
There is no co-founder writing the code, no technical lead I delegate to. I am the architect, the engineer, the CEO, and the closer — one mind holding the whole system from the data model to the customer. That is not a constraint I'm apologizing for. It's an edge: I can move from a market insight to a shipped, production-grade system without a single round of translation in between.
Why the adoption wasn't happening.
Businesses with the resources and the need to adopt AI simply were not. The tools existed. The use cases were obvious. Adoption was not happening. I began asking why — and it became an obsession.
The gap was even more pronounced across the GCC. Enormous capital flowing into Vision-2030-era modernization, yet the software and AI infrastructure serving those markets lagged far behind what the opportunity demanded.
Serve the US mid-market and the GCC enterprise simultaneously — technically serious, not a reseller or an integrator wrapping someone else's product. I came back with that conviction fully formed.
There was a company to be built. That company is Agaro.
Agaro
Technologies
A founder-controlled AI automation and enterprise software company. Not a friendly SaaS vendor — a technical partner for organizations that take their operations seriously, serving four distinct markets at once.
Too large for off-the-shelf software, too small to build it in-house. The gap where serious engineering pays for itself.
Federal contractors and government-services organizations across the defense and GovCon space — intelligence and outreach infrastructure.
Public-sector and government entities across the Kingdom — Vision-2030 digital transformation, where serious AI and software capacity is in real demand.
Saudi Arabia, the UAE, and Qatar — the intersection of Vision-2030-era modernization and genuine enterprise software demand.
My company. AI automation and enterprise software for organizations that run on uptime — voice agents, agentic pipelines, and custom systems I architect, ship, and stand behind. Serving US mid-market, GovCon, and GCC enterprise.
My flagship product — an AI-native business operating system I'm building from the data model up. Where legacy ERP bolts a chatbot onto forms, Vontra makes the AI the operator: it runs the books, the pipeline, and the busywork so the founder doesn't have to.
Systems shipped to production.
Not demos. Not prototypes called products. Each entry below is something I personally built, shipped, or architected — designed to run, scale, and be handed off to a client who depends on it.
How I think about building.
Modularity, observability, and long-term maintainability are first-order constraints — not afterthoughts. I build systems the way an engineer thinks about infrastructure.
I don't believe in demos that can't survive production. I don't build prototypes and call them products. Every system is designed to run, scale, and be handed off.
Not "how do we add AI to this?" but "what does this workflow look like if intelligence is native to every step?" That framing changes everything — schema, API surface, experience.
The GCC opportunity is real not in the abstract, but because I've seen the gap personally — the constraints, the regulation, the cultural dynamics of enterprise sales that shape what can actually be adopted.
Let's build something that survives production.
I'm 100% committed to making Agaro the defining AI automation company for the mid-market and GCC enterprise. Not one of many. The one. If that's a mission you're near — let's talk.