He once read defenses from the pocket. Now he reads enterprise buyers, and he's calling the plays for Corvic AI.
In March 2026, Matt Stone walked into a Mountain View startup with a peculiar product and an even more peculiar job: convince the enterprise world that a phrase it had never heard - "Intelligence Composition" - was about to matter a great deal. Corvic AI builds the logic layer that sits between a company's raw, messy data and the AI it wants to put into production. Stone's role as Chief Business Officer is to turn that engineering claim into pipeline, partnerships, and closed deals.
It is a job that rewards a rare double skill set. You need enough technical literacy to sit across from a skeptical CTO in pharma or manufacturing and not flinch. And you need the sales instinct to walk that same CTO toward a signature. Stone has spent a decade collecting both, in places that rarely overlap on one resume.
His own framing is blunt. "The Intelligence Composition category is one of the most important spaces in enterprise AI right now," he said when his appointment was announced. "Corvic AI solves that - and I'm here to make sure the market knows it." Categories do not announce themselves. People announce them. That is the work.
Corvic is not a slide-deck company. By the time Stone arrived it was already in production with what it calls Pioneer customers across pharma, consumer electronics, industrial manufacturing, and logistics - the kind of regulated, high-stakes buyers who do not sign for novelty. They sign for reliability. Stone's task is to find more of them and make the path from pilot to production short enough to matter.
Sources: Corvic AI appointment announcement (April 2026); SalesTechStar; Crunchbase.
The Intelligence Composition Platform - the logic layer between raw enterprise data and production AI, built to compose reliable, verifiable outcomes across multi-structured data.
Founded by Farshid Sabet (CEO), Dr. Donald Nguyen (CTO), and Dr. Gurbinder Gill (CPO), drawing on roots at Intel, Determined AI, Movidius, and Katana Graph.
Corvic AI solves that - and I'm here to make sure the market knows it.
Matt Stone · on joining Corvic AI as CBO
Early in his career he built things that fly and cannot fail. He also served as a bridge between the University of Arizona and Boeing - working career fairs and hosting student externs at Boeing sites. The first lesson in selling a complex product: credibility is a relationship, not a pitch.
As an operating partner, he sat on the investor side of the table - learning how early-stage technology companies actually scale, where they stall, and what a great commercial leader looks like before the revenue arrives.
He led strategic partnerships at one of cybersecurity's best-known brands, a billion-dollar company. Selling security is selling trust. It is the closest cousin to selling reliable enterprise AI - both are bets on something you cannot see until it breaks.
The pattern resolves. Aerospace taught him that complex systems demand earned trust. Venture taught him how scaling really works. Cybersecurity taught him to sell the invisible. Corvic AI is all three at once: a hard technical product, a young company, and a promise that the AI will be trustworthy. Different jersey, same game.
A walk-on quarterback is an exercise in volunteering for pressure no one asked you to take. You earn a spot you were not handed, you study a playbook nobody promised would pay off, and you learn to stay calm when the pocket collapses.
That is not a bad description of a startup go-to-market leader either. The enterprise sale is a long drive with a lot of third downs. The skill is not the highlight throw. It is the composure between snaps.
According to his appointment announcement, Stone's college receivers included future NFL standouts - among them multiple Super Bowl champions. Good targets help. So does knowing where they'll be.
Documents, tables, multi-structured and multimodal records scattered across an enterprise. Useful in theory. Unusable in practice.
Corvic's logic layer composes that data into reliable, verifiable building blocks - the part most teams skip and later regret.
Outcomes a regulated buyer can stand behind. That last word - trustworthy - is the whole sale. It is also Stone's specialty.
Corvic AI describes its platform as the logic layer between raw enterprise data and production AI. Funding details per PR Newswire and M Ventures (April 2025).
Aerospace, venture capital, cybersecurity, and AI infrastructure rarely share a single business card. His does.
A Tucson-area football background and a Scottsdale base, now plugged into Mountain View's enterprise AI scene.
Security and reliable AI are both promises you can't inspect until it's too late. He's spent years making people believe them anyway.
Corvic's CEO credits him with shaping market narratives, building pipeline, and closing strategic deals - in that order.