Along its value chain, from manufacturer to distributor to workshop, the independent automotive aftermarket holds more knowledge about products and cars than ever: what fits, what fails, what is diagnosed, repaired, ordered and sold, millions of times a day. Only a fraction has ever been standardised.
For decades that was enough, because cataloguing was the market’s dominant use of data. Data now feeds processes, platforms and applications that cataloguing never imagined, while the knowledge they need sits trapped in silos that cannot talk to one another, because real interoperability is missing.
The language the market does share stops at description. The words for describing exist; the words for reasoning, connecting and acting do not. So every company checks, translates and repairs the same information for itself. Non-competitive work, done everywhere at once, and paid for by everyone separately.
Software-defined vehicles rewrite what is true after the car leaves the factory. Platforms sell with the market’s data. Sometimes against it. The buyer itself is becoming a machine: a platform today, an AI agent tomorrow. Machines buy from whoever they understand.
Soon, a workshop asks an assistant what fits and why. An agent compares, orders, books the job. Every answer draws on whatever knowledge machines can read and trust. The market’s own, or somebody else’s.
AI makes data cheap to assemble and trusted meaning scarce. The foundation that supplies it will be built either way. Who builds it decides who owns it, and this market should never have to rent its own future.
A shared language for the market’s knowledge: precise enough for machines, rich enough for what the industry actually needs to say.
It gives the market the words it has been missing, words for reasoning, connecting and acting, so that knowledge created anywhere can be understood everywhere, by people, platforms and AI systems alike.
A governed environment where companies share data under their own control: who sees what, for which purpose, on which terms.
This is where interoperability becomes real, where silos connect without merging, and where competitors can work on common problems without giving up what makes them competitors.
Connecting the dots: data flowing across the value chain, evidence flowing back from it, and every station in between working from the same truth.
Each one starts with a real problem, committed participants and a measurable benefit; together they bring the whole value chain closer together.
Kyvera is the automotive aftermarket’s innovation hub. It was founded by TecAlliance, which is owned by around thirty leading companies of the industry.
The mandate comes from the market: neutral by design, non-discriminating, the same terms for everyone. What gets built, the market decides, one committed use case at a time.
