Story
Most small businesses are handed two options: hire a software engineer at a salary they can't justify, or rent software they don't control. GradientV exists to offer a third.
Custom software has never been more capable, and for most small businesses it has never felt further out of reach. The companies that would benefit most from software built around how they actually work are the ones least able to get it.
That isn't because the technology is hard to come by. It's because of how it's sold.
What we do
GradientV builds and runs the software so you don't have to hire for it, and builds it around how you already work so you aren't bending to someone else's product roadmap. You get systems that fit, without taking on an engineering department to keep them running.
We're also the face of the technical work. One person to call, who explains what's happening in plain language rather than in jargon, and who is accountable when something needs to change. You should never have to become technical to get software that works for you — that translation is our job, not yours.
AI is where this gap is widest right now. The tools are real and genuinely useful, and most small businesses still have no practical way in — the guidance available is either marketing copy or a research paper, and neither tells an owner what to actually do on Monday.
We approach it the way we approach everything else. Start with the bottleneck that's actually costing you time, apply the smallest thing that solves it, and make sure you understand what it does and where it stops. No rebuilding how you operate around a trend, and no dependence on something nobody at your company can explain.
Adopting AI well is mostly a matter of judgment about which problems are worth pointing it at. That judgment is the part we're here to supply.
Founder & aspiring Software Engineer
I started GradientV because I kept running into the same gap from both sides. I'm a Computer Science and Applied Mathematics student at Stony Brook University, focused on data science, machine learning, and applied AI systems — and I kept meeting small business owners who needed exactly that kind of work and had nowhere sensible to get it.
My background includes coursework in data science, data mining, machine learning, and analytics. I will be joining CRIZM, an AI-powered platform built to support grading workflows, feedback systems, and academic outcomes reporting as an Undergraduate Researcher and hope to gain experience that I can further implement in my work at GradientV.
I call myself an aspiring software engineer on purpose. I'm early in my career, I'm still learning, and I would rather say that plainly than oversell it. What I can promise is that I'll be direct about what I can build, honest about what I can't, and that you'll always be talking to the person actually doing the work.