João Diogo
Falcão

The Engineer Who Wants to Digitize Your Corner Store

In September 2025, João Diogo Falcão - known to colleagues as JD - stepped from the CTO chair into the CEO seat at AiFi Inc. He had co-founded the company, built its technology from scratch, and watched it grow into the largest camera-only autonomous retail network on earth. The promotion was less a career pivot than a natural conclusion. The architect of the machine was now also its pilot.

AiFi's stores don't look like much from the outside. Customers walk in, pick things up, and leave. No beeping lines. No cashiers. No self-checkout prompts. Behind that mundane sequence sits years of computer vision research, edge computing, and spatial AI - all of it pioneered by the team JD built and led. The company now processes over 90 petabytes of spatial data annually. To put that in context: 90 petabytes is roughly equivalent to watching every film ever made thousands of times over. That's how much the physical world sends back when you're actually listening.

His central conviction is deceptively simple: the physical world deserves the same kind of intelligence layer we already built for the internet. "Our vision at AiFi has been to digitise physical spaces the way search engines digitised the internet - making them queryable, measurable, and actionable," Falcão has said. Search engines didn't change what words meant; they made words findable. AiFi, in his framing, does the same thing for aisle 7 at your local stadium concession stand.

From Karate Mats to Carnegie Mellon

Before the robotics PhD, before the computer vision internship at Xilinx, before any of it - JD Falcão was a karate instructor. That's not a footnote or a fun HR icebreaker. The discipline required to teach a physical skill - to break down a movement into its smallest components, to build a student's spatial awareness through repetition - is a form of applied cognitive engineering. The karate mat is, it turns out, good training for building AI that understands physical space.

Falcão earned his undergraduate degree at Instituto Superior Técnico in Lisbon, Portugal. He then crossed the Atlantic to Cornell University for a Master's in Robotics, and continued to Carnegie Mellon University for a PhD specializing in cyber-physical systems. CMU's robotics program is not a casual commitment. It is where researchers go when they intend to build things that work in the real world, not just in controlled lab conditions. That distinction - between lab performance and real-world performance - would become the core product philosophy at AiFi.

Before co-founding AiFi, Falcão co-founded AFM Tech, a technology company focused on facilities maintenance that served clients including ExxonMobil and the Angolan Government. The jump from facilities maintenance to autonomous retail looks oblique on a resume but makes sense as a through-line: both are about managing physical spaces with limited human oversight, at scale, reliably. That problem obsession is the constant.

Why "No Two Stores Are Identical" Is a Product Philosophy

Most AI in retail works by assuming the world can be standardized. Set up the shelves in a precise configuration. Use proprietary sensors. Train the model on controlled data. Ship it. The problem is that the real world is not controlled. Stores are irregular. Lighting changes. People do unexpected things. Products move. AiFi, under Falcão's technical leadership, made a different bet: instead of making stores conform to the AI, make the AI conform to the stores.

"AiFi has always focused on developing AI to understand the physical world, knowing that the world is not 'standardized' and that every store is unique," Falcão has explained. That's not a marketing position - it's an engineering constraint. Camera-only systems, which AiFi relies on exclusively, must derive spatial understanding from image data alone, without the crutch of weight sensors, RFID tags, or shelf-embedded hardware. It's a harder problem. It's also why 300 stores across airports, stadiums, universities, and grocers are all running the same platform.

The practical result: a convenience store inside an airport terminal can go fully autonomous in weeks, not months. A stadium concession can operate through a game without a single checkout attendant. A university grab-and-go can serve hundreds of students per hour without a queue. AiFi calls this spatial intelligence - the ability to understand a physical environment in real time, track behavior, measure foot traffic, and generate digital twins of any space. Frictionless checkout is just the most visible output of a much deeper data infrastructure.

Eight Years, Five Titles, One Mission

Falcão joined AiFi in November 2017, at the company's founding. He's held every major engineering leadership title the company has: Software Engineer and Technology Lead, Director of Engineering, VP of Engineering, Chief Technology Officer, and now Chief Executive Officer. That progression is not accidental. It means he has written code, managed the people writing code, managed the people managing the people writing code, defined the technology strategy, and is now responsible for the entire organization.

As CTO, Falcão co-created the first AutoCheckout Competition in collaboration with professors from Carnegie Mellon and Stanford - one of the early efforts to push the academic computer vision community toward solving real-world autonomous retail problems. The competition was a signal: AiFi wasn't just building a product; it was shaping the field that the product depended on.

His predecessor, Steve Carlin, had led AiFi through its high-growth phase, securing partnerships with Microsoft and major retailers, and raising the company's profile in the autonomous retail category. When Carlin transitioned back to Translink Capital as Venture Partner, Falcão's appointment as CEO was described as carefully planned. "I'm honoured to step into the role of CEO at AiFi, a company I've had the privilege of helping build since the beginning," he said at the time. "I'm excited to continue this journey with all of you."

In 2024, the retail industry recognized Falcão's contributions with the Progressive Grocer GenNext Award - an honor he received while still serving as CTO. "It's an honor to be recognized for something I am deeply passionate about," he said of the award. "Our vision for AiFi was to create a future where AI would improve every facet of the physical world - and was as readily available as WiFi."

Milestones

The Spatial Internet Is Still Being Built

"We're just scratching the surface of what spatial intelligence can unlock," Falcão said when stepping into the CEO role. That's not corporate hedging. AiFi's current deployments - grocery, convenience, stadium concessions, university campuses, airports - are verticals. The underlying platform is something more comprehensive: a digital twin of any physical space, updated in near-real-time, queryable through APIs, actionable by businesses.

In 2026, AiFi's technology was chosen to power checkout-free stores at the Winter Olympics' Arena Milano - a deployment that puts autonomous retail in front of a global audience of millions. The partnership with 7-Eleven is rolling out across the US. The collaboration with REWE Group is extending AiFi's reach into European grocery. The company's playbook is increasingly multi-format: the same platform that runs a small university grab-and-go can scale to a 20,000-seat arena.

Falcão's aspiration - stated plainly - is that autonomous shopping stops being a category. "Within a decade, autonomous shopping will just be called shopping," he has said. That kind of timeline is ambitious. It's also familiar. WiFi was a specialty technology once. No one talks about it that way anymore. AiFi is a bet, named after that exact trajectory.

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