AI app development: apps designed around a model, not with a chatbot bolted on.
An AI-native app treats the model as a core component from the first wireframe: what it decides, what it drafts, what it never touches, and how you measure it. We build them for iOS, Android and web — alongside conventional mobile apps and MVPs that simply need to ship on time.
Six kinds of app, one way of working.
AI-native products
Copilots, assistants and decision tools where the model is the product: retrieval, memory, tool use, guardrails and cost control designed in from day one.
Mobile apps & MVPs
Consumer and B2B apps for iOS and Android, cross-platform, launch-ready with analytics, auth, payments and store submission handled.
AI features in existing apps
Search that understands, smart intake, summarisation, recommendations — added to your current app with an evaluation set so you know it works.
Field & operations apps
Offline-first apps for crews, drivers and inspectors with capture, sync, photos and sign-off — the unglamorous apps that run companies.
Fintech & regulated apps
KYC, consent, audit trails and data residency built in. We have shipped where a privacy review is not optional.
Rescue & re-platform
Take over an app another vendor built, stabilise it, and get it back on the roadmap — with an honest review first.
Model fit first. Then a fixed price.
Discovery & model fit
Which parts of the product need a model, which need rules, and which need neither. A paid discovery produces the fixed price and the evaluation set.
Design & prototype
Clickable prototype of every screen, including the AI states: loading, uncertain, refused, escalated. Signed off before code.
Build in weekly increments
Cross-platform or native, with automated tests, crash reporting and analytics from the first build. Weekly TestFlight and Play builds.
Evaluate, harden, launch
AI features scored against the evaluation set; security scan; store submission and launch handled with you.
Grow
Product retainer from A$6k/mo for features, model updates and the roadmap — or a clean handover to your team.
In AUD, fixed after discovery.
Model and infrastructure usage is passed through at cost with a ceiling you set. R&D Tax Incentive eligibility is documented as we build.
| Discovery & model fit 1–2 weeks · prototype, evaluation set, fixed quote | A$4k – A$12k, credited |
| Mobile MVP Cross-platform, launch-ready, store submission | A$45k – A$120k |
| AI-native product Model-first app with retrieval, guardrails, evals | A$60k – A$180k |
| AI feature in an existing app Scoped, evaluated, shipped | from A$25k |
| Product retainer Features, model updates, roadmap, monthly | from A$6k/mo |
Questions, answered straight
What makes an app "AI-native"?
The model is part of the product's core loop — it reads, decides, drafts or recommends — rather than a chat window added to a normal app. That changes the design (uncertainty states), the architecture (retrieval, tool use, memory) and the testing (evaluation sets).
Cross-platform or native?
React Native or Flutter for most products; Swift and Kotlin where performance, hardware or platform depth demand it. We recommend based on your roadmap, not our preference.
How do you handle privacy in AI apps?
Data minimisation, consent flows, Australian data residency, no training on user data, and documented decision logic — designed in, and checked against the Privacy Act reforms landing December 2026.
Can you work with our in-house developers?
Yes. We slot in as a squad, share repositories and standards, and leave documentation and an evaluation harness behind.
Is an MVP eligible for grants?
Often — R&D Tax Incentive, NSW MVP Ventures, and NZ programmes. See grant-funded builds; we map the build to the programme before we quote.
Bring the idea. We will tell you where the model belongs.
A short paid discovery, a prototype of every state, and a fixed price to launch.
Tell us what you need.
One form, one senior person replies. If we are not the right fit we will say so and point you somewhere better.