Greenfield apps
Production-grade Flutter for greenfield apps that need to feel native and ship fast on both platforms — without the perf compromises of a hybrid web shell.
- Native widget parity
- Platform channels for OS APIs
- CI/CD to both stores
Practice 04 · MobileNative feel,
Native feel,
one shipping team.
Cross-platform mobile in Flutter and React Native — close enough to native that your users won't notice the difference, fast enough to ship that your team can iterate weekly. iOS, Android, and the agents that live inside them.
1CodebaseiOS + Android
<8 wkFirst store releasefrom kickoff
60fpsOn 4-yr-old devicesperformance baseline
100%Native interopwhere it matters
What we buildCross-platform reach,
Cross-platform reach,
native where it counts.
Flutter and React Native for speed, Swift and Kotlin bridges when the platform layer can't reach — and on-device AI when latency or privacy demands it.
When you have a React team
If your web team already runs on React, an RN app means one shared mental model and a lot of shared code. Expo + EAS keeps the release loop tight.
- Expo + EAS pipelines
- Native modules where needed
- Shared code with web
Swift & Kotlin where it counts
When the cross-platform layer can't reach — camera, audio, BLE, accessibility, secure enclave — we write the native module. No JS-bridge workarounds.
- AVAudio / CoreML bridges
- BLE + sensor pipelines
- Accessibility-first APIs
Local inference
When latency, privacy, or cost demand it, we run inference on-device. CoreML, TFLite, ONNX, Whisper.cpp — with a graceful hybrid route to the cloud.
- CoreML + TFLite
- Streaming on-device speech
- Hybrid local/cloud routing
How we workKickoff to store,
Kickoff to store,
in eight weeks.
A real binary on a real device by week three — your team has the build before we have an opinion. Then we harden for the store.
01Week 1Discovery
Platform & device targets
What devices, what regions, what OS floor. We pick the platform (Flutter vs. RN) on the engineering math, not the meeting.
02Week 2–4Prototype
First TestFlight build
A real binary on a real device by week three — your team has the build before we have an opinion.
03Week 5–8Productionize
Performance, a11y, store
Frame-rate budgets, accessibility audits, store assets, review-team Q&A. We've seen the rejection emails so you don't have to.
04OngoingOperate
Crash-free over crash-flashy
Sentry + a release train. We tune the release cadence to your team's appetite and step out when adoption is steady.
Tech stackOne codebase,
One codebase,
both stores.
What we reach for most on mobile — chosen on the engineering math, not the meeting.
Frameworks
FlutterReact NativeExpoSwiftKotlin
On-device AI
CoreMLTensorFlow LiteONNX RuntimeWhisper.cpp
State / Data
RiverpodRedux ToolkitDriftWatermelonDB
Backend / Sync
SupabaseFirebasetRPCGraphQL
Release / QA
EASFastlaneMaestroSentry
In the wildApps shipped
All case studies →Apps shipped
in this practice.
EdTech · Voice AI
Mozi — a voice companion that teaches children English through play
From toy-room idea to App Store submission in nine months. Flutter client, FastAPI control plane, LiveKit voice agent.
9 mo
Concept → App Store
Submitted
Distribution
3
Cooperating services
Read case study→
AI Hiring · MarketplaceJAAI — AI-powered hiring platform built to production quality
Two-sided hiring product with CV intelligence, unified job search, AI match scores, coach, chat, and Stripe billing — delivered production-ready on Next.js, FastAPI, and GCP.
Production-ready
Delivery
Candidate + recruiter
Sides
Match · CV · coach
AI surface
Read case study→
Common questionsThe things every
The things every
first call covers.
Not here? Email us at hello@futureproof.technology — we reply within one business day.
Flutter or React Native — how do you decide?
Engineering math, not religion. If your team already runs on React, RN almost always wins. If the app leans heavily on custom rendering, animations, or pixel-perfect parity, Flutter does. We'll show the trade-offs in week one.
Do you publish to the App Store and Play Store for us?
Yes — we handle binaries, store assets, review submissions, and the rejection-letter back-and-forth. Most engagements include the first release; subsequent ones we wire up to your team's CI.
Can you support our existing native iOS/Android app?
Yes. We've taken over Swift and Kotlin codebases, added features, and gradually shifted shared logic to a cross-platform core where it made sense. Sometimes we recommend leaving it fully native; we'll tell you why.
How do you handle on-device AI?
We profile first. If latency, privacy, or cost demand it, we run CoreML or TFLite on-device with a hybrid route to the cloud. Most apps don't need it — we won't push it if the math doesn't work.
Do you do offline-first apps?
Yes. Local-first data layers (Drift, WatermelonDB, Realm), conflict-free sync, queue-and-retry for actions. It's harder than it sounds — we've shipped a few, and we'll be honest about the cost.
What about Apple Watch / Wear OS / TV / CarPlay?
Case-by-case. We've shipped Watch and CarPlay companions. They're rarely worth the complexity unless your core use case lives there — we'll tell you straight.