Custom mobile apps with full AI capability.

Conversational agents trained on your business, natural-language search over your catalog or content, image understanding (point the camera, get an answer), personalized recommendations, and workflow automation — built as native capabilities, not a chat window bolted onto a template. If your use case is visual and high-stakes, our niche models give the app answers a general-purpose API can't match on accuracy or speed.

Yes. We build fully custom applications for both platforms, with the intelligence layer shared across them so behavior stays identical — one brain, two native experiences.

Cost and speed compound in mobile. Every user interaction that hits a frontier LLM API costs money and takes seconds; a niche model answers the narrow questions — your catalog, your domain — roughly 10× faster at a fraction of the inference cost, reserving the expensive generalist model for the moments that genuinely need it. This isn't theoretical: our first niche model is live in production today, processing real-estate data. At app scale, that architecture is the difference between AI features that print margin and AI features that eat it.

Templates give everyone the same app with your logo on it, and their AI features are thin wrappers around a generic API — same answers your competitor's app gives. A custom build owns its intelligence: models tuned to your domain, features designed around your actual workflow, and an architecture you can extend for years. If a template solves your problem, we'll tell you that in the consultation and save you the money.

You do. Code, app store listings, and the trained intelligence built for your business are yours — we're not a subscription that holds your product hostage. Most clients keep us on for iteration and model improvement because it's efficient, not because they're locked in.

Yes — launch is the midpoint, not the end. App stores change requirements, models improve, and real usage always teaches you something the spec didn't. We offer ongoing iteration, monitoring, and model tuning.