Mobile app development

Mobile app development services with built-in AI

Custom iOS, Android, and cross-platform apps with AI agents built in from day one. Native Swift and Kotlin, Flutter, React Native, backed by 28+ years of delivery and a dedicated AI practice.

Services

What mobile app development services does Tizbi offer?

As a full-service mobile app development company, we build native iOS and Android apps and cross-platform solutions, matching the right approach to your business goals, timeline, and budget.

03

Cross-Platform Development

One codebase. Both platforms. Flutter, React Native, or Kotlin Multiplatform can cut development cost by 30–40% while delivering near-native performance. For most business apps in 2026, cross-platform is the right call.

AI IN MOBILE

Cross-platform apps support the same AI integrations, shared agent logic across iOS and Android, with platform-specific perception layers where needed.

04

Enterprise Mobile Solutions

Enterprise mobile apps that plug into your existing stack: CRM, ERP, backend systems. MDM support, role-based access, data encryption, and compliance controls are built in from day one, not added later. We’ll assess your requirements and recommend native or cross-platform based on what actually fits.

AI IN MOBILE

Handling sensitive data? We deploy AI that processes everything on-device, so confidential information never leaves the hardware. Our AI consulting team pinpoints which intelligent features will move the needle for your specific workflows.

05

Mobile App Modernization

Still running Objective-C? Java? Cordova? We migrate legacy apps to Swift, Kotlin, Flutter, or React Native. Performance goes up, crash rates drop, the UI gets a fresh coat, and your app becomes maintainable again. Your existing users won’t notice the disruption, because there won’t be any.

AI IN MOBILE

Modernization is the best time to add AI capabilities that didn’t exist when your app was first built: smart search, predictive features, and personalization that adapts to each user.

06

Ongoing Support & Maintenance

We handle the ongoing work: OS compatibility patches when Apple and Google ship new versions, performance tuning, feature enhancements, App Store and Play Store submissions. Many of our clients have been with us for 5+ years. That’s not a sales line; it’s what happens when the relationship works.

AI IN MOBILE

For AI-powered apps: model retraining with production data, AI performance monitoring, accuracy tracking, and deploying improved models through Apple’s Core ML updates and Google Play’s on-device AI distribution.

Agentic AI

How do AI agents enhance mobile applications?

Gartner projects 90% of new mobile apps will ship with AI by end of 2026. That’s not hype; it’s the direction the market has already moved. The agents we build don’t wait for taps. They monitor context, anticipate what’s needed, and act on their own across both iOS and Android.

Conversational AI & NLU

In-app AI assistants that understand natural language, maintain conversation context, and complete multi-step tasks. Customer support agents, in-app search, voice interfaces, and intelligent form completion, powered by Gemini, GPT, or custom fine-tuned models.

Chatbots NLU Voice UI

Cross-Platform AI Agents

Write the reasoning once, deploy it everywhere. A single agent logic layer with platform-specific perception. Core ML on Apple devices, ML Kit on Android. Your customers get the same intelligent experience regardless of which phone they carry.

Shared Logic Platform Adapters Consistent UX

Real-Time Computer Vision

Point the camera, get answers. Object detection for retail, document scanning for finance, quality inspection for manufacturing, barcode reading on the warehouse floor. MediaPipe and the Vision framework handle perception loops at 30+ FPS, all on device.

MediaPipe Vision Framework Real-Time

On-Device Intelligence

AI running directly on the phone. Faster response times, works offline, zero per-query cost, and sensitive data stays on the device. Core ML, Gemini Nano on Android. No cloud dependency. This is especially critical for healthcare apps, financial tools, and anything used in the field where connectivity isn’t guaranteed.

Core ML Gemini Nano Offline AI

Predictive & Personalization Agents

The app gets smarter the more someone uses it. Recommendation engines that actually improve, predictive search that knows what you’re looking for before you type it, churn prediction that flags at-risk users early, and push notifications timed to when each user is most likely to engage.

Recommendations Personalization Predictive

Cloud AI Orchestration

Some tasks are too big for the phone. When that happens, cloud agents take over: complex reasoning, multi-user coordination, large-scale data crunching. We use Firebase AI Logic, Google Cloud AI, AWS SageMaker, and Azure AI with routing that automatically picks edge or cloud based on connectivity and task complexity.

Firebase AI Cloud Scale Hybrid Architecture
Platform Guide

Should you build native,
cross-platform, or hybrid?

This is the most common question we get. The honest answer: it depends on what you’re building, how fast you need it, and what your budget looks like. Here’s the framework we use with clients.

Factor
Swift Kotlin
Native (Swift / Kotlin)
Flutter React Native
Cross-Platform (Flutter / RN)
Kotlin
Kotlin Multiplatform
Performance
Maximum, direct hardware access
Near-native, 95%+ for most apps
Native UI, shared logic
Development Cost
2x (separate iOS + Android)
1x (single codebase) Best value
1.3x (shared logic, native UI)
Time to Market
6–12 months (both platforms)
3–7 months Fastest
5–9 months
On-Device AI
Full access, Core ML, Gemini Nano, ARKit
Via platform channels, most AI features supported
Full native AI access per platform
UI Fidelity
Pixel-perfect platform conventions
Custom (Flutter) or native components (RN)
Fully native UI on each platform
Maintenance
2 codebases
1 codebase Fastest
Shared logic, 2 UI layers
Best For
Performance-critical, deep hardware, AR/VR, gaming
Business apps, MVPs, startups, time-sensitive launches
Enterprise apps needing native feel + shared backend
Why mobile

Why invest in custom
mobile app development?

Your customers spend 90% of their mobile time in apps, not browsers. That’s not a trend; it’s been the reality for years. A custom mobile app delivers engagement, loyalty, and revenue at levels a mobile website simply can’t touch.

6.9 Billion Smartphone Users

6.9 billion people now carry smartphones (Statista, 2025). A custom app puts your business in their pocket. Push notifications, offline access, instant engagement. Try getting that from a website.

AI-Powered Experiences

AI-powered mobile apps pulled in $1.5 billion in revenue in 2024, up 160% year-over-year (Sensor Tower). On-device AI makes things possible that the web simply can’t do: real-time camera analysis, voice assistants that work offline, and personalization that adapts in milliseconds.

3x Higher Engagement

Apps convert at 3x the rate of mobile websites (BuildFire, 2024). The reason? Push notifications, biometric login, haptic feedback, native gestures. Less friction means more conversions and more repeat visits.

Device Hardware Access

Camera, GPS, accelerometer, gyroscope, NFC, Bluetooth, biometrics, ARKit, HealthKit. Native apps tap into hardware that web apps can’t reach. If your product involves IoT sensors, health data, or fieldwork, this is why you need native.

Enterprise Security

Encrypted storage, certificate pinning, biometric authentication, on-device data processing. For HIPAA, PCI, or SOC 2 compliance, a native app gives you security controls that browser-based tools can’t match.

Revenue & Retention

In-app purchases, subscriptions, premium features, recurring revenue you don’t get from a website. Mobile apps see 157% higher session times and 2x the retention of mobile web. One-time visitors become long-term customers.

Our Process

How does Tizbi build mobile applications?

Six stages from discovery to App Store. AI isn’t a separate workstream; it’s built into every phase, whether you’re shipping on iOS, Android, or both.

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01

Discovery & Strategy

We dig into your business goals, who your users are, what competitors have built, and what the technical requirements actually look like. Then we recommend a platform, native or cross-platform, based on what fits.

AI ENHANCEMENT
Identify which AI agents deliver highest ROI. Map on-device vs. cloud AI architecture. Design shared agent logic for multi-platform deployment.
02

UX/UI Design

Wireframes and clickable prototypes built to Apple HIG and Material Design 3 specs. You test the experience on real devices before we write a single line of code.

AI ENHANCEMENT
Design AI-powered interactions, smart suggestions, predictive search, voice interfaces, and camera-based features that feel natural on each platform.
03

Development

Two-week sprints. Working features shipped every cycle. Clean architecture, solid documentation, and code reviews on every merge request. No surprises at the end.

AI ENHANCEMENT
Agent logic developed in parallel, training perception and decision models, building cross-platform AI adapters, and testing on real devices.
04

Integration & API

Connect your app to backend systems, third-party APIs, cloud services, and enterprise tools.

AI ENHANCEMENT
Connect agents to Gemini APIs, Core ML models, Firebase AI, and your existing data pipelines. Set up on-device/cloud AI routing based on connectivity and task complexity.
05

Testing & QA

Rigorous automated and manual testing across multiple iOS and Android versions and real devices. 97% data detection accuracy in our QA automation.

AI ENHANCEMENT
Agent behavior validation on real hardware, edge case testing, bias detection, and performance profiling, ensuring AI works in production, not just in the lab.
06

Launch & Support

App Store and Play Store submission, ASO (App Store Optimization), post-launch monitoring, ongoing maintenance, and feature enhancements.

AI ENHANCEMENT
Monitor agent performance, retrain models with production data, A/B test AI features, and deploy improved models through app updates and on-device distribution.
Industries

Which industries benefit from
AI-powered mobile apps?

We’ve built mobile apps across dozens of industries. Each one has its own compliance rules, integration headaches, and user expectations. Here’s where AI-powered mobile apps are making the biggest impact right now.

Tech Stack

What technologies does Tizbi use for mobile development?

iOS

Swift SwiftUI / UIKit Core Data SwiftData Combine / async-await ARKit / RealityKit HealthKit / StoreKit 2

Android

Kotlin Jetpack Compose Material Design 3 Android Jetpack Coroutines / Flow Hilt / Room / Retrofit

Cross-Platform

Flutter (Dart) React Native (TypeScript) Kotlin Multiplatform Expo Platform Channels / Bridges

AI & Machine Learning

Core ML (iOS on-device) Gemini Nano (Android on-device) ML Kit / GenAI APIs LiteRT / TensorFlow Lite MediaPipe Firebase AI Logic SDK Custom TensorFlow & PyTorch

Backend & Cloud

Node.js / Express Python .NET C# Django FastAPI Firebase / Firestore AWS / Azure / GCP GraphQL REST APIs

DevOps & Testing

CI/CD (Fastlane, GitHub Actions) Xcode Cloud Firebase App Distribution XCTest / Espresso / Detox Crashlytics / Sentry App Store Connect / Play Console
Our benefits

Why Choose Tizbi for Mobile App Development?

Deep Mobile Expertise

iOS, Android, cross-platform with Flutter, React Native, Kotlin Multiplatform. We’ve done it all. 400+ projects across healthcare, finance, logistics, retail, education. Every recommendation comes from what we’ve seen work (and fail) in production, not from a whitepaper.

AI Practice Built In

Most mobile shops outsource their AI work. We don’t. Our dedicated AI practice includes ML engineers, data scientists, and AI architects who build intelligent mobile agents in-house. From on-device Core ML models to multi-platform AI orchestration. Our consulting team will tell you which AI features are worth the investment for your app, and which ones aren’t.

True Partnership

Transparent communication, tight daily budget control, and a 99% client satisfaction rate built on genuine long-term relationships. We study your workflows, users, and competitive landscape to build custom solutions, not templates. Our longest client relationships span over a decade across multiple app versions and platform transitions.

Mobile Projects We’ve Delivered


Mobile App Development Company

Tizbi is a mobile app development company that builds iOS, Android, and cross-platform apps with AI agents integrated from day one. Native Swift, Kotlin, Flutter, or React Native, 28+ years of delivery, 400+ projects, and a dedicated AI practice behind every app.

Talk to our mobile team

28+
Years of experience
400+
Projects delivered
99%
Client satisfaction

Join Us in the All-in AI Initiative

Every day without intelligent automation is a day of missed opportunities, unanswered questions, lost leads, and overwhelmed staff. Whether you’re building a new web application or enhancing an existing one, Tizbi helps you create solutions that not only meet today’s needs but anticipate tomorrow’s opportunities with AI integration.

FAQ

Frequently Asked Questions

Simple mobile apps: $30,000-$60,000. Mid-complexity with backend systems and API integration: $60,000-$180,000. Enterprise applications: $180,000+. Cross-platform development typically saves 30-40% versus building separate native apps. Adding AI features like chatbots or image recognition adds $20,000-$60,000. We provide transparent estimates with tight daily budget control, no surprise invoices.

Native (Swift for iOS, Kotlin for Android) is best for maximum performance, deep hardware access, platform-specific AI features like ARKit or Gemini Nano, or apps that push device limits. Cross-platform (Flutter, React Native, Kotlin Multiplatform) works well when you need both iOS and Android with shared business logic, faster time to market, and lower maintenance costs. Both approaches support full AI integration. We help you decide based on your requirements, not our preferences.

A simple mobile app takes 3-4 months from concept to launch. Mid-complexity apps with backend integration take 4-7 months. Enterprise-grade mobile applications with complex integrations can take 6-12 months. Cross-platform development can reduce timelines by 30-40%. AI features may add 2-6 weeks depending on model complexity. We use agile sprints so you see working features every 2-3 weeks.

Yes. We specialize in adding AI to existing systems. Whether you need a chatbot, image recognition, predictive features, voice interface, or on-device intelligence, we can enhance your current app without a full rebuild. We start with an assessment to identify which AI features deliver the most value for your specific app and users.

Agentic AI refers to AI systems that don’t just respond to commands, they monitor, anticipate, decide, and act autonomously. In mobile apps, this means AI agents that personalize experiences in real time, handle customer support conversations, detect fraud, optimize content delivery, and coordinate between on-device and cloud intelligence, all without manual triggers. Learn more about our agentic AI approach.

Flutter uses Dart and renders its own UI widgets, best for pixel-perfect custom designs across platforms. React Native uses JavaScript/TypeScript and native UI components, ideal for teams with web development experience. Kotlin Multiplatform shares business logic in Kotlin while using native UI on each platform, best when you need truly native interfaces with shared backend code. All three support AI integrations. We recommend based on your team, timeline, and specific needs.

Yes. We offer ongoing maintenance: bug fixes, OS compatibility updates (new iOS and Android versions), performance optimization, feature enhancements, and App Store / Play Store management. For AI-powered apps, this includes model retraining with new data, AI performance monitoring, and deploying improved models. Many clients have partnered with us for 5+ years.

Yes. Deep experience with CRMs (Salesforce, HubSpot), ERPs, payment gateways (Stripe, Square), IoT devices, cloud platforms (AWS, Azure, Google Cloud), and custom APIs. We also integrate AI services, ML platforms, data pipelines, and AI APIs. With 400+ projects, enterprise integration is a core strength.

iOS: Swift, SwiftUI, UIKit, Core ML, Core Data, ARKit. Android: Kotlin, Jetpack Compose, Material Design 3, Gemini Nano, ML Kit. Cross-platform: Flutter, React Native, Kotlin Multiplatform. AI: Core ML, ML Kit, LiteRT, MediaPipe, Firebase AI, custom TensorFlow/PyTorch. Backend: Node.js, Python, .NET, Firebase, AWS, Azure.

No. AI-powered mobile apps generated nearly $1.3 billion in revenue in 2024, a 180% YoY increase, and businesses of all sizes are adopting these features. Apple’s Core ML and Google’s ML Kit make AI accessible without massive budgets. On-device AI features have zero per-query costs. Our All-In AI program is specifically designed to make agentic AI accessible for small and midsize businesses.

Automated unit/UI tests (XCTest, Espresso, Detox), manual QA across real devices and OS versions, security audits for encryption and API protection, performance profiling. For AI features: model accuracy validation, bias testing, and edge case analysis. Our QA automation achieves 97% data detection accuracy. All apps follow OWASP mobile security guidelines.

Healthcare (HIPAA-compliant), financial services (PCI DSS), manufacturing and logistics, retail and e-commerce, education, construction and BIM, automotive, and professional services. Each industry has specific compliance, integration, and AI requirements that we address with domain expertise built across 400+ projects and 28+ years.

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Rapid AI prototype
in 2-4 weeks

Not sure AI belongs in your app? Come to our Raleigh office. We’ll build a working prototype that runs on both iOS and Android, with real AI features you can test using your own data. See it work before you commit to anything.

What You Get

A working AI prototype on real iOS and Android devices. Not a slide deck. Not a mockup. Actual AI agents you can test with your data, on both platforms.

How It Works

1-week discovery sprint to define the agent’s scope and target platforms, then 1-3 weeks of development. We deliver a deployable prototype with a clear path to production.

Why Prototype First

Prove it works on both platforms. Test with your team. Validate AI accuracy with real scenarios. Then scale, knowing the concept holds up. Way less risk than jumping straight into a full build.

Book your free prototype session in Raleigh

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Ready to build an intelligent mobile app?

iOS, Android, or both, we build mobile applications with built-in AI that drives engagement, streamlines operations, and delivers measurable business results.

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Address

3915 Beryl Rd, Suite 130,
Raleigh, NC 27607

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28+ years of expertise in custom software development, AI solutions, mobile apps, and IT services.

99% client satisfaction.

NDA protection available.