Two founders, one practice, one decision

The impulse was not market research but a biography. Laith Alshdaifat spent years interpreting in medical practices. The problem was never the language — it was what got lost between the sentences: the when, the how often, the what-alongside-what.

Nobody makes a mistake in the process. Relatives translate as well as they can; the doctor listens. And yet less ends up on the form than the patient brought with her. That is not a language problem, it is a capture problem. And capture can be built.

That is where the 13 languages come from. They are not a market decision, nor a translation package ordered after the fact, but the result of years in the consulting room — on both sides of the desk. Anyone who has interpreted themselves knows where a question goes wrong, and what a person understands who is still learning the language.

The second impulse came from the practice itself. Dr Christian Klaproth has watched for years how much working time paper forms, follow-up questions at the desk and retyping consume. Both observations point to the same gap — DiggAi closes it from both sides.

There are two of us. The platform has 13 languages, desktop applications for Windows and macOS, an interface into practice management software — and more than 3,000 automated tests that run before every release.

That does not work by typing faster, but through a rule we keep: think once, thoroughly, then execute cheaply. Every decision is made carefully once and then fixed as a rule, a check or a test. After that the execution can be automated — the thinking beforehand cannot.

The effect is verifiable: our own checks block a release if a text breaches our regulatory guardrails, if a language file is incomplete, or if an architectural rule has been broken in the code.