Our development team begins with a technical discovery phase to establish:

• Use case analysis – Defining the purpose of the AR app (e.g., product visualization, training simulations, real-time object tracking).
• Platform & hardware selection – Choosing between ARKit (iOS), ARCore (Android), Vuforia, or WebAR frameworks based on project needs.
• Real-world tracking considerations – Assessing whether the app will require marker-based tracking, markerless SLAM (Simultaneous Localization and Mapping), or plane detection.
• Cloud vs. on-device processing – Determining whether cloud-based AR (for scalability and live updates) or on-device processing (for real-time speed) is the best approach.

Once the core requirements are established, our team builds interactive UI/UX designs and AR models using:

• 3D modeling & optimization – Designing low-latency, high-performance 3D assets using Unity, Unreal Engine, Blender, or Maya.
• Animation & physics integration – Ensuring realistic object behaviors, lighting, and animations within AR environments.
• Gesture-based & voice interaction – Implementing gesture tracking, haptic feedback, and voice command support for hands-free AR interaction.
• Prototype development – Creating an MVP (Minimum Viable Product) to test early-stage AR interactions, object recognition accuracy, and spatial computing features.

Our engineers focus on developing high-performance, scalable AR apps by integrating:

• AR SDK Implementation – Using ARKit (Apple) or ARCore (Google) to enable environmental understanding, motion tracking, and object recognition.
• AI-Powered Image & Object Recognition – Integrating computer vision models for real-time object detection and classification.
• Spatial Mapping & SLAM Integration – Implementing real-world anchoring, persistent AR placement, and occlusion rendering for lifelike AR experiences.
• WebAR vs. Native App Development – Determining whether the app requires browser-based WebAR (using WebXR, 8thWall) or native app functionality (iOS/Android/Unity).

Every AR app undergoes rigorous testing and performance tuning to ensure seamless functionality across devices. Our process includes:

• Cross-Device Compatibility Testing – Optimizing for AR-capable smartphones, tablets, and smart glasses.
• Latency Reduction & FPS Optimization – Using real-time rendering techniques, shader optimization, and frame rate testing to ensure smooth AR experiences.
• User Interaction Testing – Evaluating gesture control accuracy, spatial awareness, and real-time feedback responsiveness.
• Cloud AR Testing – If applicable, testing cloud-based AR data retrieval, multi-user AR interactions, and remote content updates.

Once the AR app passes all performance and UX tests, we ensure a successful launch and long-term scalability by:

• App Store & Google Play Compliance – Meeting platform requirements for publishing on iOS, Android, or WebAR portals.
• Security & Data Privacy – Implementing GDPR-compliant data handling, encryption, and secure authentication (if user login is required).
• Backend Infrastructure (if needed) – Setting up cloud-based data storage, API integrations, and CMS platforms for dynamic AR content management.
• Post-Launch Support & Iteration – Providing regular updates, bug fixes, and feature enhancements based on user feedback and analytics tracking.