Tim Zinkl grew up on three continents, built an events business, then went to work where startups rarely go: the factory floor. His company, Pairio, wants technicians to stop reading manuals and start fixing.
Somewhere in Germany, a machine stops. The line goes quiet. A technician walks over, opens a panel, and stares at a problem that is costing money by the minute. Behind him sits a binder, or a PDF, or a folder on a shared drive: two thousand pages of manual that hold the answer somewhere inside them. Finding it is the hard part. Tim Zinkl has spent the last stretch of his career thinking about that exact moment.
Zinkl is the CEO and co-founder of Pairio, a company he describes in plain terms: an AI app that helps factory technicians fix broken machines faster. It is not a flashy consumer product. It does not live on your phone's home screen. It lives on the shop floor, in the hands of people with grease on their gloves, and it is built around a single stubborn idea - that the person fixing the machine should spend less time hunting for information and more time actually fixing.
Most founder stories start with a single hometown. Zinkl's starts with a map. He grew up in Brazil, Spain and China before he had settled into any one accent. He studied in the United Kingdom and then in Germany. By the time most people finish deciding who they are, he had already been the new kid on three continents.
That kind of upbringing does something to a person. It makes them comfortable walking into a room where they do not yet belong - a factory in a foreign town, a batch of strangers in San Francisco, a market nobody in tech seems to want. It teaches you to read a room fast and adapt faster. For a founder whose customers are veteran technicians on the manufacturing floor, that instinct is not decorative. It is the job.
During his undergraduate years, Zinkl built an events business. It worked. It grew. It was, by the accounts that survive, genuinely successful - right up until the world shut its doors in 2020. COVID-19 did to live events what a power cut does to a factory line: it stopped everything at once, with no warning and no obvious restart button.
It is tempting to file that chapter under failure. It reads better as training. A young founder learned, in real time, how quickly a thriving thing can go dark, and how much of building a company is deciding what to do when the momentum you counted on disappears. Downtime, it turns out, would become the theme of his professional life - first as something that happened to him, later as the problem he set out to solve for everyone else.
After events, Zinkl went somewhere most software founders never go: the physical, industrial, difficult end of startups. He joined tozero, a Munich battery-recycling company, as its second employee. Battery recycling is not a slide deck. It is chemistry, machinery, permits, plants, and the unglamorous grind of turning used lithium-ion cells back into raw material.
Being employee number two at a company like that means doing whatever the day requires and learning how real industrial operations actually behave. You see how a plant runs. You see what breaks, who fixes it, and how much a stopped machine costs. That experience reads like a rough draft of Pairio - the same world, the same stakes, viewed from the inside before he decided to build the tool it was missing.
Great companies often begin long before their founding date. Zinkl met his co-founder, Matthias Wolf, roughly four years before Pairio existed, at an entrepreneurship scholarship run through the Technical University of Munich. They did not immediately start a company. They started something more durable: a working relationship that had time to season.
Wolf is the technical half of the pair - a B.Sc. in General Engineering and an M.Sc. in AI and Robotics from TU Munich, plus a stint as an AI engineer at Lio (YC S23) building agent pipelines and enterprise integrations. He also grew up in a blue-collar engineering family, which means the two founders bring firsthand empathy for the exact person Pairio serves. One partner knows the operator's world from the inside; the other knows how to point modern AI at it. The idea, as one account of their launch put it, was one worth fighting for.
Tim Zinkl (CEO) and Matthias Wolf (CTO) met at a TU Munich scholarship, stayed close for four years, and turned a shared frustration with factory downtime into Pairio.
Here is the demo, roughly. A technician stands in front of a stalled machine. Instead of digging through a binder, they talk to Pairio, snap a photo, or shoot a short video. The app searches thousands of pages of equipment manuals, surfaces the relevant fix, and guides them through it. When the job is done, Pairio can generate the maintenance report automatically from that same voice memo or footage - the paperwork writes itself.
Underneath the simplicity sits serious plumbing. Pairio integrates with the enterprise systems that run heavy industry: SAP, Oracle EAM Cloud, IBM Maximo, IFS, Hexagon and others. It captures the knowledge of experienced technicians so it does not walk out the door when they retire. The pitch to a plant manager is measured in numbers, not adjectives.
There is a quiet contrarianism in what Zinkl chose to build. The manufacturing floor is one of the last places the current wave of AI has genuinely reached. It is not a demo-friendly space. It is loud, oily, regulated, and unglamorous. That is exactly why it is interesting - the problems are real, the budgets are real, and the incumbents are old software nobody loves.
The early evidence suggests he read it right. Four plants in Germany are already using Pairio to reduce equipment downtime. The company was accepted into Y Combinator's P26 batch, with Tom Blomfield as its primary partner, and picked up support from Google Cloud for Startups and ElevenLabs' startup grants along the way. For a three-person team, that is a lot of validation pointed at a problem most founders would scroll right past.
The through-line of Zinkl's story is consistency of theme. A childhood spent adapting to new places. An events business that taught him what sudden downtime feels like. An industrial startup that showed him the factory from the inside. A four-year partnership that gave him a co-founder he already trusted. Each chapter points at the same destination.
The aspiration is bigger than four German plants. It is to make expert-level maintenance available to any technician, anywhere, so that knowledge stops disappearing and machines stop sitting idle. If it works, the person who grew up without a single hometown will have built something that belongs everywhere there is a factory floor - which is to say, nearly everywhere.