In medicine, that way of thinking is the standard. In repair, there’s no standard for how a fault gets found. Diaforik brings the way a paramedic thinks into your shop and classroom. Every tech is held to that standard, on every job. The app is what keeps it.
No AI. Every call is made by a person, at the vehicle, with a reading behind it. Summaries are built from what the tech recorded, never written by AI.
LiveApp in testing and development
LiveApp in testing and development
LiveApp in testing and development
Automotive is live. The rest are built on the same standard and in testing and development: same app, same audit, same proof.



A 2012 Ram whose dash drops out. Screens from the app, as a tech sees them.
Why there’s no AI in Diaforik.
A fixed chain does. Give it the same complaint and the same readings tomorrow and it says the same thing, and a person can read exactly why. A model can say something different the second time, and nobody can say why. You can’t build a standard on that.
That’s what comebacks cost a sample shop in a year: labor and parts it never billed, and customers it never saw again. It isn’t in its books anywhere. Twelve months of your repair orders already know your number.
Find your shop’s numberHow we count a comeback →Every closed case is a practical exam: a real vehicle, every reading against spec, what was ruled out, and proof it was fixed.
All free to use with attribution. Each carries a version and a date.