(919) 373-5095

Android & Agentic AI
App Development Services

We build intelligent Android applications that go far beyond smartphones — from industrial terminals and warehouse scanners to in-vehicle infotainment systems, medical devices, kiosks, and edge controllers. Native Kotlin, agentic AI that monitors, decides, and acts autonomously, and 28+ years of software expertise backed by a dedicated AI practice.

28+
Years Experience
400+
Projects Delivered
99%
Client Satisfaction
Talk to our Android team
Our Services

What Android Development
Services Does Tizbi Offer?

From native Kotlin apps on smartphones to AI-powered systems running on industrial devices, vehicles, and embedded hardware — we match the right approach to your business goals and your target devices.

Android devices beyond smartphones — tablets, kiosks, wearables, medical devices, and embedded systems
01 Native Android App Development

Build high-performance native Android apps with Kotlin and Jetpack Compose. Full access to device hardware — cameras, GPS, sensors, biometrics — for apps that feel fast and respond naturally on every Android device.

Our native apps integrate seamlessly with on-device AI capabilities like Gemini Nano for intelligent features that work even without an internet connection.

02 Android Beyond Smartphones

Android (AOSP) powers far more than phones. We build intelligent applications for the full spectrum of Android-powered hardware — bringing autonomous AI to devices across your operation.

  • Industrial tablets & rugged devices — warehouse, factory floor, field service
  • Automotive & in-vehicle systems — Android Automotive OS, fleet management, driver assistance
  • Kiosks & point-of-sale — retail, hospitality, self-service terminals
  • Medical devices — patient monitoring, clinical tablets, diagnostic equipment
  • Wearables — Wear OS smartwatches, AR glasses, safety wearables
  • Embedded controllers & edge devices — IoT gateways, smart displays, digital signage
  • Drones & robotics — autonomous navigation, computer vision, remote operation
03 Cross-Platform Mobile Development

Reach both Android and iOS users with a single codebase using Flutter, React Native, or Kotlin Multiplatform. Reduce development time by up to 40% while maintaining native-like performance.

Our cross-platform apps support the same AI integrations — ML Kit, Firebase AI, and custom models — across Android, iOS, and embedded devices with shared agent logic.

04 Enterprise Android Solutions

Secure, scalable mobile apps for enterprise workflows — integrated with your CRM, ERP, and backend systems. MDM support, role-based access, data encryption, and compliance controls built in from day one. We evaluate your requirements, recommend the right approach (native vs. cross-platform), and create a roadmap aligned with your budget and timeline.

For enterprises handling sensitive data, we deploy AI that processes confidential information on-device — so data never leaves the hardware. Our AI consulting team identifies which intelligent features deliver the most business value for your specific use case.

05 Android App Modernization

Migrate legacy Java-based Android apps to modern Kotlin architecture. We upgrade UI to Material Design 3, improve performance, reduce crash rates, and make your app easier to maintain — all without disrupting your users.

Modernization projects often include adding AI capabilities that weren't possible when your app was first built — smart search, predictive features, and personalized experiences.

06 Ongoing Support & Maintenance

Regular updates, OS compatibility patches, performance optimization, and feature enhancements. Many of our clients have partnered with us for 5+ years.

For AI-powered apps: model retraining, AI performance monitoring, and deploying improved models through Google Play's on-device AI distribution.

Key Takeaway: Tizbi builds custom Android applications — not just for smartphones, but for industrial tablets, kiosks, vehicles, medical devices, and embedded hardware. With 28+ years of experience and a dedicated AI practice, we combine native Kotlin development with on-device and cloud AI agents that monitor, decide, and act autonomously across every Android-powered device in your operation.

Agentic AI

What Can AI Agents Do
on Android Devices?

AI agents don't just respond to commands — they monitor, anticipate, decide, and act. We build intelligent agents that run on any Android-powered device, from a phone in your customer's pocket to an embedded controller in a vehicle.

Gemini Nano — On-Device Reasoning

Google's on-device LLM powers agents that summarize documents, generate smart replies, analyze images, and make context-aware decisions — all running locally with zero cloud dependency. Ideal for field service, in-vehicle assistants, and offline-capable business apps.

Gemini NanoGenAI APIsOffline

LiteRT — Custom Edge Intelligence

Deploy custom-trained ML models with hardware acceleration (GPU, DSP, NPU). Classification, anomaly detection, and prediction agents that run on industrial tablets, embedded controllers, and IoT gateways with minimal power consumption.

LiteRTHardware Accel.Edge Devices

MediaPipe — Real-Time Perception

Agents that see and understand in real time: hand tracking for gesture-controlled interfaces, pose estimation for worker safety, object detection for quality inspection, face mesh for driver attention systems.

MediaPipeComputer VisionReal-Time

Firebase AI Logic SDK

Gemini Flash for fast multi-step orchestration. Gemini Pro for complex reasoning and advanced NLU. Imagen 3 for visual understanding in inspection and reporting workflows. Cloud-scale intelligence when on-device isn't enough.

Firebase AIGemini FlashGemini Pro

Multi-Agent Orchestration

Coordinate AI across device fleets: warehouse scanners reporting to a central planning agent, vehicle sensors feeding a maintenance coordinator, or kiosks sharing behavior data with a recommendation engine. Built on Google Cloud AI, AWS ML, or Azure AI.

Multi-AgentCustom TrainingFleet Coordination

Hybrid Architecture (Edge + Cloud)

Edge agents handle real-time perception and immediate decisions on-device. Cloud agents handle complex reasoning and cross-device coordination. Auto-routing based on latency, connectivity, and privacy — critical for industrial and automotive deployments.

HybridEdge + CloudAuto-Routing
Why Android

Why Build on the
Android Platform?

Android isn't just a phone OS. AOSP (Android Open Source Project) powers billions of devices across every form factor — making it the most versatile platform for deploying intelligent AI agents.

Largest Global Market Share

Android holds over 72% of the global mobile market — billions of potential users across 190+ countries. AOSP extends this reach to industrial, automotive, and embedded devices.

Every Device Type

Smartphones, rugged industrial tablets, in-vehicle infotainment (Android Automotive OS), medical devices, kiosks, POS terminals, wearables, AR glasses, digital signage, IoT gateways, drones. One platform, one codebase foundation, every form factor.

AOSP: Open-Source Power

AOSP gives you full control over the Android stack — customize for industrial hardware, strip down for embedded controllers, or extend for automotive systems. No walled garden, no vendor lock-in.

Hardware Integration

Direct access to cameras, GPS, NFC, Bluetooth, biometric sensors, and custom hardware through well-documented APIs.

Google AI & ML Ecosystem

Gemini Nano for on-device AI, ML Kit for pre-built ML, Firebase AI for cloud models, MediaPipe for real-time perception, LiteRT for custom models. No other mobile platform offers this depth of AI tooling.

Faster Distribution

Play Store reviews in hours, not days. Google Play's on-device AI distribution simplifies ML model updates — push improved models without a full app update.

Kotlin-First Development

Kotlin reduces boilerplate code by 40%, prevents null-pointer crashes, and enables safer, more concise applications.

Cost-Effective Development

Lower licensing costs, free development tools (including AI/ML toolkits), and flexible distribution options.

Our Process

How We Build
Android Applications

Our six-stage process integrates AI development at every phase — across all target devices, not just smartphones.

1

Discovery & Strategy

We analyze your business goals, target users, competitive landscape, and technical requirements.

+ AI: Identify which AI agents deliver highest ROI on which devices. Map target hardware (phones, tablets, kiosks, vehicles, embedded). Design on-device, cloud, or hybrid agent architecture.
2

UX/UI Design

Wireframes and interactive prototypes following Material Design 3 guidelines. You test the experience before code is written.

+ AI: Design device-appropriate agent interfaces — touchscreen interactions for tablets and kiosks, voice-first for automotive, gesture-based for industrial, and heads-up displays for wearables.
3

Development

Kotlin developers build in agile sprints, delivering working features every 2-3 weeks. Clean architecture and thorough documentation.

+ AI: Agent logic developed in parallel — training perception and decision models, building agent orchestration, testing on target device hardware.
4

Integration & API

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

+ AI: Connect agents to Gemini APIs, deploy ML models to edge devices, set up multi-device agent communication, integrate with industrial systems and vehicle buses.
5

Testing & QA

Rigorous automated and manual testing across multiple Android versions and devices. 97% data detection accuracy.

+ AI: Agent behavior validation on actual target hardware, edge case testing, bias detection, and performance profiling across device types — ensuring agents work in the field, not just in the lab.
6

Launch & Support

Google Play Store submission, post-launch monitoring, ongoing maintenance, bug fixes, and feature enhancements.

+ AI: Monitor agent performance across device fleets, retrain models with production data, deploy updated agents through OTA updates and Play's distribution system.
Tech Stack

What Android Technologies
Does Tizbi Use?

Android development workstation with modern tools and frameworks

Languages

  • Kotlin (primary)
  • Java (legacy)
  • Dart (Flutter)
  • TypeScript (React Native)
  • Python (AI/ML)

UI & Frameworks

  • Jetpack Compose
  • Material Design 3
  • Android Jetpack
  • Flutter
  • React Native

AI & Machine Learning

  • Gemini Nano (on-device LLM)
  • ML Kit & GenAI APIs
  • LiteRT / TensorFlow Lite
  • MediaPipe
  • Firebase AI Logic SDK
  • Google Cloud AI Platform
  • Custom TensorFlow & PyTorch

Backend & Data

  • Firebase / Firestore
  • Room Database
  • Retrofit / OkHttp
  • GraphQL
  • MongoDB

Architecture & Tools

  • MVVM / Clean Architecture
  • Hilt (DI)
  • Coroutines / Flow
  • Android Studio + Gemini
  • CI/CD (Fastlane, GitHub Actions)

Embedded & Automotive

  • AOSP (custom builds)
  • Android Automotive OS
  • Android Things / IoT
  • Wear OS
  • Rugged device SDKs
  • Edge deployment pipelines
Industries

Which Industries Use AI-Powered
Android Applications?

Every industry has Android devices beyond smartphones. We build intelligent applications tailored to the specific hardware and workflows in your sector.

Professionals using Android tablets across healthcare, manufacturing, and field operations

Healthcare & Pharma

HIPAA-compliant patient engagement apps, clinical trial management, telemedicine platforms, and health monitoring tools.

+ AI on devices: AI agents on clinical tablets that monitor patient vitals and flag anomalies autonomously. Computer vision on medical devices for image analysis. Triage chatbots on bedside terminals. On-device processing protects patient data — HIPAA-compliant by design.

Financial Services

Secure banking apps, payment processing, investment platforms, and fintech solutions with encryption and compliance.

+ AI on devices: Fraud detection agents on POS terminals and banking kiosks using behavioral biometrics. Predictive risk scoring on trader tablets. Autonomous transaction monitoring agents that escalate suspicious patterns without waiting for human review.

Manufacturing & Logistics

Supply chain tracking, warehouse management, fleet monitoring, quality control apps, and IoT-connected industrial solutions.

+ AI on devices: Computer vision agents on rugged tablets for automated quality inspection on the production line. Predictive maintenance agents on embedded controllers monitoring equipment health. Route optimization agents on fleet devices. Warehouse scanners with anomaly detection that flag inventory discrepancies in real time.

Automotive & Fleet

In-vehicle infotainment (Android Automotive OS), fleet management dashboards, driver assistance interfaces, and connected vehicle services.

+ AI on devices: Driver attention monitoring agents using MediaPipe face mesh on dashboard cameras. Predictive maintenance agents that analyze vehicle sensor data on-device. Route planning agents on fleet tablets that adapt to real-time conditions. Voice-controlled assistants using Gemini Nano for hands-free operation.

Retail & E-Commerce

Mobile shopping apps, inventory management, in-store tools, loyalty programs, and personalized customer experience platforms.

+ AI on devices: Visual search agents on customer kiosks (photograph a product to find it). AI recommendation agents on POS terminals. Demand prediction agents on warehouse tablets. Self-service AI assistants on in-store digital signage. Inventory monitoring agents on handheld scanners.

Construction & BIM

Field inspection apps, BIM platform tools, project management, coating calculators, and safety compliance tracking.

+ AI on devices: Computer vision agents on rugged tablets for defect detection during site inspections. Safety compliance agents that analyze photos of work areas and flag violations autonomously. Predictive scheduling agents on project manager tablets. Document processing agents on field devices for permits and reports.

Education & EdTech

Learning management systems, interactive educational apps, student engagement tools, and adaptive learning platforms with offline support.

+ AI on devices: Adaptive learning agents on classroom tablets that personalize each student's path in real time. Assessment agents that provide instant feedback. Language learning agents with on-device speech recognition. AI tutoring agents on student devices that work offline in areas with poor connectivity.
Why Tizbi

Why Choose Tizbi for
Android & AI Development?

Deep Android Expertise

Our team builds for the full Android spectrum — smartphones, industrial tablets, kiosks, automotive systems, and embedded hardware. With 400+ projects across healthcare, finance, logistics, and more, every technical decision is backed by real-world experience on real devices.

AI Practice Built In

Unlike mobile-only shops, we have a dedicated AI practice with ML engineers, data scientists, and AI architects. We build intelligent agents in-house — from edge intelligence on factory floors to multi-agent orchestration across vehicle fleets. Our consulting team identifies which AI features deliver real ROI for your specific devices and workflows.

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. Many clients have partnered with us for 5+ years.

Case Studies

Android Projects
We've Delivered

Coating Calculator

Construction / Paint Applicators

An Android app that helps paint applicators calculate mil thickness needed to coat steel membranes with fireproof paint. Simplified a complex manual process, improving accuracy and saving significant time on construction projects.

View case study →
Explore all case studies →
FAQ

Frequently Asked Questions

How long does it take to develop a custom Android app?
A simple Android app typically takes 3-4 months from concept to launch. Mid-complexity apps with backend integration take 4-6 months. Enterprise-grade applications with complex integrations can take 6-12 months. Apps with AI features may add 2-4 weeks for model training and optimization, depending on complexity. We use agile sprints so you see working features every 2-3 weeks.
Should I build a native Android app or use cross-platform?
Native Android with Kotlin is best for maximum performance, platform-specific features like advanced camera or sensor access, on-device AI processing with Gemini Nano, or a polished Material Design experience. Cross-platform (Flutter, React Native) works well when you need both Android and iOS with shared business logic and faster time to market. Both approaches support AI integrations. We help you choose based on your requirements, budget, and timeline.
What is the cost of Android app development?
Simple apps: $25,000-$50,000. Mid-complexity with backend systems: $50,000-$150,000. Enterprise applications: $150,000+. Adding AI features like basic chatbots or image classification typically adds $20,000-$60,000, while advanced AI with custom-trained models can add more. We provide transparent estimates with tight daily budget control — no surprise invoices.
Can you add AI features to our existing Android app?
Yes. We specialize in adding AI to existing systems. Whether you need a chatbot, image recognition, predictive features, or on-device intelligence with Gemini Nano, 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.
What's the difference between on-device AI and cloud AI?
On-device AI (Gemini Nano, LiteRT, MediaPipe) runs on the user's phone — faster, works offline, zero per-query cost, keeps sensitive data private. Cloud AI (Gemini Pro, Firebase AI) handles complex tasks, processes larger data, works across all devices. Most modern apps use a hybrid approach. We design the right architecture based on your requirements.
Do you provide ongoing support after launch?
Yes. We offer ongoing maintenance: bug fixes, OS updates, performance optimization, feature enhancements, and Play Store management. For AI-powered apps, this includes model retraining with new data, AI performance monitoring, and deploying improved models. Many clients have been partners for 5+ years.
What Android technologies and frameworks does Tizbi use?
Kotlin (primary), Jetpack Compose, Android Studio with Gemini AI assistant, Retrofit/OkHttp, Room/Firebase, Hilt, Coroutines/Flow, Material Design 3. For AI: Gemini Nano, ML Kit GenAI APIs, LiteRT, MediaPipe, Firebase AI, custom TensorFlow/PyTorch models. Cross-platform: Flutter, React Native, Kotlin Multiplatform.
How do you ensure quality and security?
Automated unit/UI tests, manual QA across real devices and Android versions, security audits for encryption and API protection, performance profiling. For AI features: model accuracy validation, bias testing, edge case analysis. Our QA automation achieves 97% data detection accuracy.
Can you integrate with our existing business systems?
Yes. Deep experience with CRMs (Salesforce), ERPs, payment gateways, 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.
Is AI in Android apps only for large enterprises?
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. Google's ML Kit and GenAI APIs make it possible 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.
Do you build Android apps for devices beyond smartphones?
Yes — this is a core strength. We build Android applications for industrial rugged tablets, Android Automotive in-vehicle systems, kiosks and POS terminals, medical devices, wearables (Wear OS), digital signage, embedded IoT controllers, and drones. Android (AOSP) is the most versatile platform for deploying autonomous AI across device types, and we have experience customizing AOSP builds for specialized hardware requirements.
What is agentic AI and how does it work on Android devices?
Agentic AI refers to AI systems that don't just respond to commands — they monitor, anticipate, decide, and act autonomously. On Android devices, this means AI agents that run perception-reasoning-action loops: a camera on a factory tablet detects a quality defect, the agent reasons about severity, and takes action (alerts the operator, logs the incident, adjusts the production line). These agents run on-device for real-time response or coordinate with cloud agents for complex decisions. Learn more about our agentic AI approach.
Tizbi team conducting AI prototype session at Raleigh headquarters
Special Offer

Rapid AI Prototype in 2-4 Weeks

Not sure if AI agents will work for your use case? Visit us at our Raleigh office and see a working prototype running on your target Android device — smartphone, industrial tablet, kiosk, or embedded hardware — before committing to a full project.

What You Get A functional AI prototype running on your actual hardware — not a slide deck or mockup. Working agents you can test with real data.
How It Works 1-week discovery sprint to define the agent's scope, then 1-3 weeks of development. We deliver a deployable prototype with a clear path to production.
Why Prototype First Prove the concept, test on target hardware, validate with your team — then scale with confidence. Reduce risk before committing to a full engagement.
Visit us in person: Tizbi HQ — 3915 Beryl Rd, Suite 130, Raleigh, NC 27607
Book Your Prototype Session in Raleigh

Ready to Build Intelligent Android Apps?

Smartphones, industrial devices, vehicles, kiosks, or embedded systems — we build intelligent Android applications for every device your business operates.

Schedule a Free Consultation
(919) 373-5095 info@tizbi.com 3915 Beryl Rd, Suite 130, Raleigh, NC 27607

Related Technologies

iOS Development JavaScript React Python .NET Angular
Whatsapp
Get a free consultation
Get a free consultation

Scan the following QR-code to get a free consultation

QR-code

Contact Tizbi

Complete our contact form, and we'll get back to you shortly.

Contact Tizbi

Complete our contact form, and we'll get back to you shortly.

Other ways to connect

Address

3915 Beryl Rd, Suite 130,
Raleigh, NC 27607

View directions

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

99% client satisfaction.

NDA protection available.

By clicking the button below you are agreeing to our Privacy Policy. We respect your privacy. Your information will never be shared.