Most teams searching for a web or app developer don’t have an “AI project” — they have a product to ship: a booking platform, a content site, a service portal, an app. The question that decides how good it gets is whether the intelligence is designed in from day one, or duct-taped on after launch.
The problem with a generic build
A conventional agency ships you pages and screens, then adds a chatbot widget at the end. The widget answers nothing specific, the search is a keyword box that misses synonyms, and the “AI features” line on the invoice is a wrapper around someone else’s API. The product’s data was never structured for intelligence, so every smart feature added later fights the architecture instead of using it.
What AI-native means here
We design the data model, the search index and the assistant together, from the first commit:
- Assistants that actually answer — grounded in your real content and data, with an evaluation harness that measures answer quality before users see it.
- Search that actually finds — semantic search that understands what visitors mean, not just what they typed.
- Intelligence in the workflow — recommendations, summarization, extraction: whatever the product’s job actually needs, built where it belongs.
- The whole product around it — design, front end, back end, deployment, analytics. One team, end to end.
We hold ourselves to the same bar on our own products — see what’s live — and every demo in our Lab runs on-device in your browser, which is the discipline your product inherits: fast, private, dependable.
What’s included
Discovery and product design; the full build (web, iOS or both); the intelligent features wired to your real content; an evaluation suite for every AI behaviour we ship; deployment in your accounts; and documentation plus handover — or ongoing operation, your call. You own all of it: code, models, data.
The capability ladder
An AI-native build is the entry point, not the ceiling. When the product earns it, the same team takes you up the ladder — no rewrite, no new vendor:
- AI-native build — the product, with working intelligence inside.
- Agent systems — workflows that retrieve, decide and execute.
- Custom fine-tuning — your data, your domain, your model.
- Edge & on-device AI — models running where your users are.
Pricing posture
Every AI-native build is quoted flat after a short scoping call — scope, platforms and model work drive the number. We reply with a realistic figure — not a teaser — within one business day.
Ready to build? Tell us what you’re making.