What we don't sell:
What we sell:
Often rejected, multiple iterations 
100% first-submission approval rate Swift app development cost at Protocloud depends on features, Apple devices targeted, and whether CoreML AI integration is needed. A basic Swift iPhone app (5–10 screens) starts from $5,000–$15,000. A mid-complexity app with custom backend, payment integration, and Apple Watch companion ranges from $20,000–$50,000. Enterprise Swift apps with CoreML AI, HealthKit, ARKit, and multi-device support can go up to $120,000+. CoreML AI features add $1,500–$8,000 but typically generate ROI within 60–90 days. Projects start from $5,000+. We provide a fixed-price quote after your free strategy call.
A simple Swift iPhone app can be ready in 4–6 weeks. A standard app with custom backend, SwiftUI design system, and Apple Watch integration typically takes 8–12 weeks. Feature-rich apps with CoreML AI, ARKit, HealthKit, and multi-device support take 14–20 weeks. Enterprise Swift apps can take 4–6 months. We work in 2-week agile sprints you receive a TestFlight build every 14 days, not just at project end.
A simple app with one AI feature (e.g., chatbot) can be ready in 5–7 weeks. A standard app with multiple AI features (recommendations + smart search + analytics) typically takes 10–16 weeks. Complex enterprise AI apps can take 4–6 months. AI features are built and tested in parallel with the app not added at the end. We work in agile 2-week sprints, so you see working AI demos throughout development.
Swift is Apple’s own language, designed for maximum performance on Apple hardware. Native Swift apps access CoreML Neural Engine (40–60% faster than cloud AI), ARKit for Augmented Reality, HealthKit for health data, Keychain Services for enterprise security, and WatchOS for Apple Watch all natively. Flutter and React Native cannot access these frameworks at the same performance level. If your competitive advantage depends on Apple ecosystem depth CoreML, ARKit, HealthKit, on-device AI, Apple Watch pure Swift is the only correct choice.
Not necessarily and we’ll give you an honest answer in your free strategy call. CoreML makes sense when you need on-device AI that works offline, processes private health data, or requires sub-10ms response time (real-time image recognition, AR object detection, live audio analysis). For chatbots, recommendation engines, and smart search powered by cloud APIs (OpenAI, Dialogflow), you don’t need CoreML cloud-based AI works perfectly and is more cost-effective for those use cases. We’ll match the right AI approach to your budget and feature requirements.
Yes we specialize in CoreML and AI integration into existing Swift apps as well as new builds. We audit your current Swift codebase, identify the best AI integration points, and add features without disrupting your existing functionality. Common Swift AI upgrades include: adding CoreML-powered recommendation engine to eCommerce apps, integrating Siri Shortcuts for voice automation, adding Vision framework image recognition to camera features, implementing on-device NLP for smart search, or connecting your app to OpenAI for an in-app AI chatbot.
We have a 100% App Store first-submission approval rate across 2500+ projects delivered over 11 years. We implement Apple’s privacy manifests (NSPrivacyAccessedAPITypes), App Tracking Transparency, latest Swift API standards, and App Store Review Guidelines from day one. Our App Store specialist tracks Apple’s policy updates continuously. If your Swift app is rejected for any issue related to our development or compliance work, we fix it and resubmit at zero cost.
