React Native, Flutter, Kotlin, Swift, Java, Android Studio, Xcode

iOS & Android Development

Mobilize your digital future. Our iOS and Android development expertise transforms complex business requirements into high-performance, intuitive mobile applications that drive engagement, streamline workflows, and ensure secure, seamless access to your enterprise data from anywhere. Command your business on the go.

Get in Touch

Hover/Touch To Discover More

iOS & Android Development

Cross-Platform & Native Development

Engineered for peak performance, our mobile solutions leverage native Swift and Kotlin stacks to deliver unrivaled speed and responsiveness. We combine this technical depth with the versatility of Flutter and React Native to ensure single-codebase deployment across iOS and Android.

End-to-End Product Strategy

Our methodology kicks off with Discovery and Planning, where we conduct deep-dive workshops to solidify project scope and technical architecture. This foundation flows into UI/UX Design, where we translate strategy into seamless user journeys—guiding the process from initial wireframes to pixel-perfect execution.

Backend Integration & APIs

Build for the future with infrastructure that scales globally and stays secure. We leverage AWS, GCP, and Azure to deploy high-performance backends capable of supporting millions of users. Through a combination of secure RESTful and GraphQL APIs, we create a fortified ecosystem for seamless, protected data exchange.

Modern Feature Implementation

We leverage advanced device hardware features, integrating capabilities like biometrics (Face ID/Touch ID), haptic feedback, and NFC for enhanced functionality. We implement robust data caching and synchronization logic to ensure continuous operation and reliability through effective offline functionality.

Quality Assurance & Testing

Our process includes a comprehensive testing suite, conducting unit, integration, and UI testing across a wide range of devices and operating system versions. We implement Automated QA through Continuous Integration/Continuous Deployment (CI/CD) pipelines for faster releases.

Post-Launch Maintenance & Scaling

Our commitment to reliability involves 24/7 infrastructure monitoring and real-time performance analytics. We execute a continuous improvement roadmap, deploying iterative feature enhancements and security patches in response to evolving OS requirements and user insights.

Case Studies

Artificial Intelligence

© 2025. All rights reserved.

ÄHDUS TECHNOLOGY

Industry-Focused Mobile iOS & Android Applications

Focused industries that trust our services for technology development and outsourcing, particularly with respect to agentic AI services.

01

Manufacturing & Logistics

Predictive maintenance using anomaly detection on sensor telemetry
Real-time supply chain optimization with multi-objective reinforcement learning
Digital twin implementation for asset virtualization and dynamic system modeling

02

Health-Tech & Life Sciences

Computer vision for diagnostic imaging and tissue segmentation
Generative AI for drug discovery, protein folding simulations, and clinical trial acceleration
Patient-specific treatment optimization using EHR-integrated ML workflows

03

Fintech & Related Services

Fraud detection using temporal graph neural networks
Intelligent document processing (IDP) for compliance and risk analysis
Agent-based systems for market prediction, portfolio optimization, and robo-advisory

04

Enterprise Knowledge Management

Computer vision for diagnostic imaging, tissue segmentation, and other applications
Generative AI for drug discovery, simulations, and telehealth support
Patient-specific treatment optimization using EHR & AI

05

Technology & SaaS Platforms

AI copilots for software development, debugging, and code refactoring
Autonomous QA and test generation systems for accelerated release cycles
Multimodal user experience personalization across web, mobile, and XR interfaces
Embedding GenAI into SaaS products to unlock new revenue streams and operational efficiency

06

Telecom & Network Infrastructure

Dynamic bandwidth allocation using AI-driven traffic pattern recognition
Predictive fault detection in telecom infrastructure with time-series ML models
Customer churn modeling and personalized retention strategies through behavioral analytics
Intelligent network orchestration and optimization in 5G and edge environments