MAGIIS

Here is a thing that happened, and that most people filed away as settled: the ride-hailing apps arrived, the local taxi company got quietly hollowed out, and everyone agreed the incumbents were finished. Except they weren’t. The chauffeur services, the limo operators, the medical-transport vans, the paratransit fleets - they are all still here, still moving millions of people, and a startling number of them are still running on a spreadsheet, a phone line, and a guy with a two-way radio. MAGIIS is the software they never got to build.

The pitch is refreshingly boring, which is a compliment. MAGIIS calls itself an “AI-powered operating system for transportation providers,” and if you strip the mobility-conference vocabulary out of that sentence, what you get is: it is Shopify for the person who owns eight limos. It bundles the unglamorous machinery of running a fleet - the dispatching, the passenger booking, the driver app, the payments, the back-office rate configuration - into one white-label platform, and then it hands that platform to an operator who keeps their own brand on the door. The operator doesn’t have to become a technology company. They just rent the technology.

The reason this matters is a point about where the real gap in mobility actually sits. It is tempting to think the divide is between old companies and new ones, dinosaurs versus disruptors. It isn’t. The divide is between the operators who could afford to build a dispatch engine and the ones who couldn’t - and the second group is enormously larger. Uber and Lyft spent, collectively, a sum of money that is genuinely difficult to write down without getting nervous, in order to build software that assigns cars to people. MAGIIS’s bet is that you can build a good-enough version of that once and rent it to everyone who got left out.

The 5% that is the whole business

Most SaaS companies describe themselves with a subscription tier. MAGIIS describes itself with a percentage. For fleets of one to forty-nine vehicles - which is to say, most fleets that exist - the model is 5% pay-as-you-go. No large up-front check, no annual commitment, no in-house engineering team. You run a trip, MAGIIS takes a nickel on the dollar, and in exchange you get the dispatch, the app, the payments and the marketplace. For fleets over fifty vehicles, it flips to an annual subscription priced on vehicles or transactions, which is the polite way of saying “at some scale a percentage stops being a bargain.”

What is quietly clever here is that 5% is not really a price. It is a barrier-removal device. The thing standing between a small operator and modern software was never the monthly fee; it was the terrifying fixed cost of building the software in the first place. MAGIIS turns that fixed cost into a variable one, and a variable cost is something a nervous fleet owner can actually say yes to. According to MAGIIS’s Google Cloud case study, providers on the platform have cut spending by roughly 30%, grown their driver base about 10%, and increased sales around 20%. Those are customer-reported figures, so apply the usual salt, but the direction is the point.

MELITA, and the death of the radio

When people say “AI in transportation,” they usually mean a car with no driver. MAGIIS points its AI somewhere less cinematic and more immediately useful: the dispatch desk. Its assistant, MELITA, handles autonomous vehicle dispatching - deciding which car goes to which passenger, when - along with analytics and customer interactions. It is not trying to replace the driver. It is trying to replace the person hunched over a microphone shouting street names. That is a smaller ambition, and a much better business.

Around MELITA sits the rest of the kit: omnichannel booking that lets a passenger reserve a ride by app, WhatsApp, Telegram, phone or IVR - meeting people on the channels they already use rather than forcing a download - plus fleet asset tracking, a drivers’ app, open-API integrations, and an affiliates marketplace where providers pass overflow trips to each other instead of turning the passenger away. That last piece is the sneaky-important one: it converts a fleet of rivals into a network of suppliers, which is a much stickier thing to be a member of.

The man who did it before

MAGIIS is the second act - arguably the third or fourth - of Leonardo Gannio, an industrial engineer with an Executive Education stint at Stanford and about twenty-five years of technology leadership across Latin America, including regional roles at NCR, PeopleSoft, Informix and Ingram Micro. His headline venture was AKTIO, a value-added technology distributor he founded in 2004 and grew to a presence in seven countries and revenues reported around $500 million before it was acquired. He also built FixIt, a chain of urban hardware stores, and Inventika, a digital agency. The pattern is a man who likes plumbing - the distribution layer, the infrastructure, the part customers never see - and MAGIIS is plumbing for how the world moves people.

He frames the mission in a way that is either idealistic or shrewd, depending on your mood: MAGIIS, he argues, should enable a “builder’s economy” that produces better jobs than gig work. The critique is not that gig flexibility is bad; it is that the platform kept all the leverage. Give the operator the tools and the brand and let them build something they own, the thinking goes, and you get a healthier arrangement for the driver at the end of the chain. Whether that holds up at scale is the interesting open question, and a good one to keep watching.

Where it stands

MAGIIS runs its operations center out of the Miami area - the corporate footprint sits in Sunny Isles Beach / North Miami Beach, Florida - with a team of roughly twenty-one to twenty-five people and distribution across Argentina, Colombia, Bolivia and Peru. In the US it has focused on three regions: the Southeast, the Mid-Atlantic and the West. It has raised a Seed round (about $2 million total to date), holds a registered trademark for “MAGIIS Digital Platform for People Transportation,” and counts named operators such as Golden Limo International, LH Traslados and ATEG Intl among its customers. It is not a large company. But infrastructure rarely needs to be large - it needs to be the layer everyone else builds on, and to get there before someone bigger notices the gap.