AI that
ships.
Anyone can demo a model. The hard part is putting one inside a product that survives app review, runs on someone else’s phone, and still makes sense to a person who has never heard the word inference. That is the only kind of AI work we do.
Gibble AI
Ten questions a day, a streak to keep, and an algorithm that watches which questions you keep getting wrong and puts them back in front of you. Cloud certification tracks are live today, starting with AWS. The tutor itself is subject-agnostic, and general knowledge is where it is going.
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Zeti Dreams
Our first shipped product, on the App Store since December 2020. Feed it an image or a written prompt and it returns a finished piece — the generative pipeline we built, packaged down to something that runs from a phone.
LEARN MORE ▸EchoTap, the third app in the catalogue, is conventional software — a push-to-talk radio needs a good network stack, not a model. We would rather say so than put an AI badge on it. Knowing which problems do not need a model is most of the job.
Spec
Decide what the thing does before deciding it uses a model. Most features do not need one.
Build
One team end to end — interface, backend, model integration. No handoffs to lose the intent in.
Ship
To Apple and Google review, under our own developer accounts, where it either passes or it does not.