Most teams looking for a web or app developer do not have an “AI project”. They have a product to ship: a booking platform, a content site, a service portal, an app. What decides how good it gets is whether the intelligence is designed in from the start or added after launch.
The problem with a generic build
A conventional agency ships pages and screens, then drops a chat widget in at the end. The widget answers nothing specific. The search is a keyword box that misses synonyms. The “AI features” line on the invoice is a thin 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 answer. Grounded in your real content and data, with a test harness that measures answer quality before users see it.
- Search that finds. Semantic search that understands what visitors mean, not only what they typed.
- Intelligence inside the workflow. Recommendations, summaries, extraction. Whatever the product’s job needs, built where it belongs.
- The whole product. Design, front end, back end, deployment and analytics. One team, end to end.
We hold our own products to the same bar. See what is live.
What is included
Discovery and product design. The full build, for web, iOS or both. The intelligent features wired to your real content. A test suite for every AI behaviour we ship. Deployment in your own accounts. Documentation and handover, or ongoing operation if you prefer. You own all of it: the code, the models and the data.
Where it leads
An AI-native build is the starting point, not the ceiling. When the product earns it, the same team takes you further, with no rewrite and no new vendor.
- AI-native build. The product, with working intelligence inside.
- Agents. Workflows that look things up, decide and act.
- Fine-tuned models. Your data, your domain, your model.
- On-device AI. Models running where your users are.
Pricing
Every AI-native build is quoted as a fixed price after a short scoping call. Scope, platforms and model work set the number. We reply with a realistic figure within one working day.
Ready to build? Tell us what you are making.