Demo-only
Fragile networking
Happy-path mocks collapse under flaky LTE and backgrounding.
Mobile app development · React Native · Flutter · AI · US & EU outsourcing
Our stacks are explicit: React Native and Flutter for cross-platform velocity, plus computer vision and LLM integrations when your roadmap needs perception or language intelligence inside the app. We tie mobile surfaces to business automation, secure APIs, and Telegram-friendly notification or ops loops so product and field teams stay aligned.
US and EU users uninstall fast when startup times lag, AI features feel gimmicky without offline guardrails, or automation breaks between mobile and messaging surfaces like Telegram.
You need instrumentation and iteration loops without rewriting each sprint.
Computer vision or LLM flows demand latency budgets, consent UX, and telemetry — we engineer those as first-class journeys.
Data residency conversations, consent UX, and audit-friendly logs.
Privacy nutrition labels, permission copy, and rejection loops handled pragmatically.
Demo-only
Happy-path mocks collapse under flaky LTE and backgrounding.
Production habits
Retries, caching boundaries, crash analytics, and rollout safeguards ship with the MVP.
Store-ready binaries built with explicit stack choices — React Native or Flutter cross-platform cores, optional native modules, AI integrations documented for ops, and automation hooks your backend team can extend.
Navigation, empty states, accessibility targets — engineered for real LTE and backgrounding.
Camera/intelligence pipelines, LLM prompts with guardrails, usage metering, and graceful degradation.
Secure contracts, webhooks, ops bots, Telegram notifications aligned with mobile state.
Delivery breakdown
Journey maps, technical spikes on risky integrations.
Feature slices with QA checkpoints.
Performance profiling, permission flows, localisation hooks.
Payments, identity, maps, messaging SDKs — including Telegram bot or Mini App surfaces when needed.
Listings, privacy manifests, beta cohorts.
Runbooks, backlog grooming, monitoring dashboards.
Illustrative engagements — details anonymised where required.
Rhythm that keeps TestFlight users engaged without burning your backlog.
Platforms, KPIs, integration inventory, compliance notes.
Clickable flows plus architecture decisions.
Weekly drops, crash review, analytics tuning.
Submission, rejection fixes, hypercare.
No public rate card — discovery locks scope, milestones, and the estimate.
Budget depends on platforms, offline behaviour, AI or computer vision modules, LLM integration paths, integrations, and compliance needs. We do not publish fixed tiers; detailed scopes receive fixed estimates after discovery.
Yes — we engineer shared-code apps with React Native and Flutter when speed and maintainability matter; we pair native Swift/Kotlin modules when platform fidelity or hardware access demands it.
Yes — we ship AI-enhanced mobile experiences including on-device or API-backed computer vision pipelines and LLM integrations with guardrails, telemetry, and cost-aware batching suitable for production.
Yes — we wire apps to automation backends, webhooks, internal ops bots, and Telegram-based workflows so field teams and customers stay in one coherent loop.
Yes — provisioning, signing, listing copy, screenshots guidance, privacy questionnaire support, and rejection triage are part of standard launch packages.
Interactive builds often appear within 3–5 weeks for narrow MVPs; fuller releases commonly span 8–16 weeks depending on backend depth.
Yes — event taxonomy, attribution hooks, and push providers wired with environment separation for staging and production.
Because we ship production habits by default: observable releases, secure API boundaries, pragmatic AI integration, and explicit automation hooks — remote-first for US and EU with English contracts.
Stacks, automation targets, Telegram surfaces, and deadlines — we reply within one business day.
Cross-platform React Native and Flutter, computer vision and LLM integrations, automation and Telegram ecosystems — one partner from prototype to store.
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