Why Flutter (and when not to use it)
The mobile-development conversation in India typically starts with "should we build native Android, native iOS, React Native, or Flutter?" Our answer for almost every business app: Flutter. Here's the honest reasoning.
Flutter delivers near-native performance. The framework compiles to native ARM machine code on iOS and Android — no JavaScript bridge, no interpretation layer. Animation, scrolling, and complex layouts behave indistinguishably from native code. We have benchmarked our Flutter apps against equivalent native builds on entry-level Android (4 GB RAM, Snapdragon 4-series) — frame-time variance is under 5% in worst case.
Single codebase means half the maintenance cost. Over a 3-year horizon, a Flutter app is roughly 40-50% cheaper to maintain than the equivalent two native codebases. One sprint of feature work covers both platforms. One bug fix lands in both stores. One QA cycle catches both. The compounding benefit is enormous for any business that ships features quarterly.
Where we still recommend native: Apps where 80%+ of value is in deep platform integration — ARKit/ARCore experiences, complex audio processing, hardcore gaming, or apps that need bleeding-edge OS features within weeks of OS release. For the kind of business apps Indian companies actually need (field operations, B2B portals, customer-facing apps, retailer apps), Flutter is the right answer in 95% of cases.
What "production-hardened Flutter" actually means
A first-year Flutter developer can build a working app. A production-hardened Flutter team has shipped the same architectural patterns 100+ times and learned where the actual operational pain lives. The difference is invisible in a demo and devastating in production.
Offline-first sync. This is the single hardest engineering problem in field-operations mobile development. Our sync engine handles: conflict resolution when two devices captured changes for the same entity offline, partial-sync recovery when the upload connection drops mid-stream, retry-with-backoff for transient server errors, idempotent server-side handling so duplicate uploads from app retries don't create duplicate records, and gracefully-degraded behaviour when the device has been offline so long that the data model has been server-updated. We have running deployments where field staff have been offline for 11 days and synced cleanly when connectivity returned.
Hardware integration. Milk analysers from at least four manufacturers (Lactoscan SL, EkomilkScan, Astoria, DSC). Bluetooth thermal printers across Bixolon, Zebra, Epson, and the Chinese OEMs that dominate the low-cost market. Barcode scanners (Honeywell, Datalogic, Zebra) over Bluetooth and USB-OTG. Weighing scales over RS-232. The hardware-comms layer for each of these is non-trivial; we maintain a library that abstracts the protocol differences so application code stays clean.
GPS battery optimisation. Naive GPS implementations drain a phone battery in 4-6 hours of polling. We have spent years optimising the polling cadence + accuracy fallback + Doze-mode handling on each major Android version. Our apps use 8-12% battery over a 10-hour field workday. This is invisible in a demo and the single most-complained-about issue when teams build their own.
Crash resilience. Production apps crash. Customer Service apps crash silently and corrupt local data. Our Flutter apps integrate Sentry for crash analytics from sprint 3 onwards — every crash is captured with stack trace, device info, last 50 user actions, and the local data state at crash time. We have caught and patched dozens of edge cases through this telemetry that we would never have caught in QA.
The 12-device test matrix we run
Every production Flutter app we ship is tested against this matrix before store submission:
- Android low-end: Redmi 9A, Samsung Galaxy M04, Realme Narzo 50A
- Android mid-tier: Redmi Note 12, Samsung Galaxy A24, Motorola G54
- Android high-end: Pixel 8, Samsung S24, OnePlus 12
- iOS: iPhone SE (3rd gen), iPhone 13, iPhone 15
Three OS versions per platform. The matrix catches OEM-specific edge cases (Samsung's notification handling, Xiaomi's aggressive background-process killing, MIUI's location-permission quirks) that emulator-only testing misses.
App publication and enterprise distribution
Play Store and App Store submission is included in our standard fixed-scope project — including ASO content (title, short description, long description, screenshots optimised for store CTR), store-listing copy in English and (optionally) Hindi for the local audience, and the developer-account setup if you don't already have one. Initial review submission typically clears within 7-14 days; we monitor and respond to reviewer feedback.
For enterprise rollouts, we ship MDM-compatible build artefacts that work with Microsoft Intune, MobileIron, VMware Workspace ONE, and Hexnode. Configurations are externalised so a single APK can deploy to multiple business units with different backend endpoints. We have configured this for clients distributing apps to 5,000+ devices across regions.
What we charge
Fixed-scope Flutter app projects range from Rs 12 Lakh (a single user journey, modest hardware integration, 12-week timeline) to Rs 65 Lakh (multi-user-role app with deep offline sync, multiple hardware integrations, complex GPS workflows, 22-week timeline). The mid-range — a fully-loaded field force app with offline-first sync, GPS verification, basic hardware integration, store launch, and enterprise distribution — typically lands at Rs 22-35 Lakh.
Dedicated mobile pod retainers (1 mobile lead + 1 mid-level Flutter engineer + part-time UI design and QA) start at Rs 4.5 Lakh per month, 3-month minimum commitment. Useful when your roadmap is evolving rather than fixed-scope.
Schedule a scoping call — we'll give you a tight scope estimate within one conversation, with no follow-up "we'll get back to you" theatrics.
