Mobile App Development Services

Mobile app development costs range from $30,000 for a simple single-platform MVP to $300,000+ for a complex enterprise-grade product with AI/ML features, real-time capabilities, and multi-role access. Key factors that affect cost include app complexity, number of platforms (iOS, Android, or both), custom UI requirements, backend infrastructure, third-party integrations, and team location. See the cost breakdown above for a detailed overview by complexity tier, or request a custom quote tailored to your specific requirements.

A simple MVP on a single platform typically takes 3–4 months. A medium-complexity app with multi-platform support, custom UI, and third-party integrations usually takes 4–6 months. Complex enterprise-grade apps with AI/ML features, real-time capabilities, and compliance requirements take 6–12+ months. These timelines begin after discovery and architecture sign-off. We give you a detailed, milestone-based timeline specific to your project after our discovery call.

Native apps are built separately for each platform: Swift and Xcode for iOS, Kotlin and Jetpack Compose for Android. They deliver the highest performance and full access to platform-specific hardware and APIs. Cross-platform apps (built with Flutter or React Native) use a single codebase that compiles to both iOS and Android. Cross-platform typically reduces cost and development time by 30–40% and is the right choice for most business apps, marketplaces, and data-driven products. We recommend native when your app is performance-critical, hardware-intensive, or consumer-facing at scale.

It depends on your target market, budget, and launch timeline. In North America and Western Europe, iOS commands around 55% of the market, making it the first choice for many consumer apps. Android dominates in Asia, Latin America, and emerging markets. For business apps and B2B tools, cross-platform with Flutter or React Native lets you serve both audiences simultaneously without doubling the budget. We will help you prioritise based on your user research and growth strategy.

We build mobile apps across 18+ industries including healthcare, fintech, eCommerce, education, on-demand services, logistics, real estate, travel, and SaaS. Our teams have delivered HIPAA-compliant telehealth platforms, PCI-DSS payment apps, AI-powered logistics tools, and consumer marketplace apps. See the Industries section above for a full list of verticals and specific use cases we have built for.

Yes. Every fixed-scope project includes a 30-day post-launch warranty. We fix any bugs at no additional cost. Beyond that, we offer a flexible maintenance retainer that covers bug fixes, OS compatibility updates as Apple and Google release new versions, performance monitoring, and incremental feature development. Many clients transition to a dedicated development team engagement post-launch to continue building their product.

Security is built into every layer of our development process. We follow OWASP Mobile Security Testing Guide principles, implement AES-256 data encryption at rest and TLS 1.3 in transit, conduct penetration testing before launch, and enforce secure coding practices throughout development. For regulated industries, we build to HIPAA, PCI-DSS, and GDPR compliance requirements from the architecture phase, not as an afterthought.

Yes. We follow an API-first architecture that makes integration with your existing systems straightforward. We have integrated with Salesforce, HubSpot, SAP, Stripe, Adyen, Twilio, AWS services, custom REST and GraphQL APIs, and many others. During discovery, we audit your existing API documentation, identify gaps, and design middleware where needed to ensure clean, maintainable integration.

We embed AI capabilities directly into mobile apps where they create real user value, not as a marketing feature. Examples include on-device ML models for image recognition and OCR (using TensorFlow Lite), NLP-powered in-app chatbots and search (using OpenAI APIs and LangChain), personalised recommendation engines (built with PyTorch and served via AWS SageMaker), predictive analytics dashboards, and computer vision features for quality inspection or document processing. AI integration is scoped per project based on your use case and data availability.

We offer three models to match where you are in your product journey. A Dedicated Team gives you full-time engineers, a designer, and a QA engineer working exclusively on your product, ideal for long-term, evolving products. Time & Material is best for projects with changing requirements where you want to pay for actual hours worked. Fixed Price is for well-defined builds with a locked scope, fixed budget, and milestone-based delivery. Each model is described in detail in the Engagement Models section above.

We sign a mutual NDA before any discovery conversation. Your idea is protected from day one. All source code, designs, and documentation created during the engagement are transferred to you in full upon project completion. We use isolated development environments, role-based access controls, and do not retain copies of your codebase after handoff. Your IP is entirely yours.

Freelancers can work well for small, contained tasks. For a production-ready mobile product, the risks are different: accountability across the full stack, consistent availability, QA processes, project management, and long-term support all require a team structure. With Avenotech, you get a dedicated team (engineers, designer, QA, and a technical lead) who own the outcome, not just individual deliverables. You also get structured processes, documented handoffs, and ongoing support after launch.