Build a mobile app your users love — and that lasts
Tell us your idea, platforms and must-have features. We’ll recommend native vs cross-platform, an AI strategy, and a plan to ship.
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We build 2026 ready mobile apps AI-powered with on device LLMs, cross-platform and native, for iOS, Android, wearables, foldables and IoT. From startups to global enterprises, we ship apps that feel fast, private and future proof.
It designs, builds and maintains iOS and Android apps that are AI-powered, cross-platform-efficient and privacy-first.
In 2026 that means apps with on-device LLM features (Gemini Nano on Android, Apple’s on-device Foundation Model on iOS 26+), built with Flutter, React Native, Kotlin Multiplatform or .NET MAUI to share code and cut time-to-market, and extended to wearables, foldables and IoT.
PSSPL delivers all of this as a Microsoft Solutions Partner, having shipped 300+ native apps across the App Store and Google Play.
Mobile isn’t standing still — AI moved on-device, screens fold, and apps now talk to watches, glasses and machines. We build for where the platform is going, not where it was.
Small language models run on the phone — Gemini Nano, Apple's on-device Foundation Model, Microsoft.Maui.Essentials.AI — for private, low-latency, offline-capable AI.
In-app copilots, natural-language search, summarization and AI agents that take actions — grounded in your data (RAG).
watchOS, Wear OS, smart glasses and health apps — a market heading toward ~$380B by 2028, with consistent phone-to-wrist experiences.
Adaptive layouts that reflow across fold/unfold and aspect-ratio changes — a segment developers can no longer ignore.
Apps that pair with devices over BLE, MQTT and Azure IoT for real-time control and telemetry.
ARKit/ARCore and visionOS spatial experiences for retail, field service and training.
Edge-native performance, ultra-low latency, and multi-service "super app" experiences.
On-device processing, passkeys, biometric auth and data-minimization as defaults.
PSSPL is one of the top companies integrating AI into mobile apps — with transformative technologies like NLP, ML and computer vision, and now on-device LLMs — to take your digital experience to the next level. Around 90% of new apps in 2026 will ship with AI; we make sure yours does it well.
Behaviour-aware experiences that adapt to each user in real time.
In-app AI that answers complex questions and supports users instantly.
Run models on the phone for speed and privacy; escalate to cloud models for heavy reasoning. Unified via Apple's Core AI and cross-platform SDKs.
Natural voice interfaces and voice-driven buying journeys.
On-device and cloud ML to detect anomalies and protect users.
Design, build, launch, and support: the whole app journey handled by one team
SwiftUI and Kotlin/Jetpack Compose for maximum performance and day-one OS features.
Flutter, React Native, Kotlin Multiplatform and .NET MAUI — one team, shared code, faster launch.
On-device LLMs, copilots, vision, voice and RAG built into your product.
App-like web experiences with offline and installability.
ARKit/ARCore and visionOS experiences.
Legacy and Xamarin apps migrated to .NET MAUI or native; UX and performance overhauls.
Legacy and Xamarin apps migrated to .NET MAUI or native; UX and performance overhauls.
Apps built for a specific OS (iOS/Android) with direct hardware access — camera, GPS, sensors — for top performance and security.
Reusable, shared code across operating systems — simple installation, reliable functioning and lower production cost.
A blend of native and web — a native shell around a shared web core, for speed to market.
Installable web apps using HTML/CSS/JS that behave like native — no store required.
Swift, SwiftUI, Objective-C, Core ML
Kotlin, Jetpack Compose, Java, ML Kit
Flutter (Dart), React Native, Kotlin Multiplatform (KMP), .NET MAUI
Core ML, ML Kit, on-device LLMs/SLMs, Microsoft.Maui.Essentials.AI, Azure AI / Azure OpenAI
watchOS, Wear OS, HealthKit / Health Connect
BLE, MQTT, Azure IoT Hub, WebRTC
Azure, Firebase, REST/GraphQL, push (APNs/FCM)
HTML5, CSS, JavaScript, service workers
Product strategy, UX/UI and a platform & tech decision.
Native or cross-platform development with AI features and integrations.
Automated QA, device testing (incl. foldables/wearables), security and performance.
Store release, analytics, and ongoing iteration and support.
We do not just build your app and walk away. We ship it, then keep it current as the platforms, devices, and AI move on, so it stays fast and relevant for years.
A long track record across iOS and Android, startups to enterprises.
Anthropic Claude & OpenAI partner — on-device and cloud AI done right.
Flutter, React Native, KMP and .NET MAUI — the right tool per project, not one hammer.
ISO 27001-aligned delivery, privacy-first architecture and app-store compliance.
Data & AI and Digital & App Innovation — enterprise-grade credibility.
98% on-time, known for meeting tight deadlines.
Senior engineering delivered cost-effectively with global-facing accountability.
Teams and clients across the US, UK, Germany, Australia and India.
Start small to prove the idea, or bring on a full team. Whatever suits your stage, there is a model that fits.
A fixed, low-risk sprint that turns your idea into a working prototype.
A ring-fenced team (design, iOS, Android, QA) on your roadmap.
Best for well-defined scope with clear requirements.
Building apps where AI is a core feature - personalization, real-time assistants, computer vision, voice, and on-device LLMs. In 2026 apps run small models on the phone (Gemini Nano on Android, Apple's on-device Foundation Model on iOS 26+, Microsoft.Maui.Essentials.AI for .NET MAUI) for private, low-latency AI, with cloud models for heavier reasoning.
Native (SwiftUI, Kotlin/Jetpack Compose) gives top performance and earliest OS features; cross-platform (Flutter, React Native, KMP, .NET MAUI) can cut development time by up to ~40% with one team. We recommend based on your performance needs, timeline, budget and roadmap.
Yes — watchOS/Wear OS companions, smart-glasses and health apps, and apps connected to IoT devices over BLE, MQTT and Azure IoT. See our Smart Glasses app development.
Native: Swift/SwiftUI, Kotlin/Jetpack Compose.
Cross-platform: Flutter, React Native, Kotlin Multiplatform, .NET MAUI.
AI: Core ML, ML Kit, on-device LLMs, Azure AI/OpenAI.
IoT: BLE, MQTT, Azure IoT. Plus PWA, and backends on Azure and Firebase.
Xamarin reached end of support in 2024. We maintain existing Xamarin apps and migrate them to .NET MAUI, preserving your investment while modernizing.
On device AI where possible, secure storage/keychain, passkeys and biometrics, certificate pinning, least-privilege permissions, and compliance with app-store and data-protection requirements (GDPR, HIPAA where relevant).
It depends on platform(s), features, integrations and complexity. We scope precisely after a discovery session and can start with a fixed-price proof of value.
Real-time tracking, live chat and in-app messaging, AI assistants and search, ML features, multi-language, cross-platform, push notifications, social and payment integration, maps, offline mode, and wearable/IoT connectivity.
Proof of value sprint, dedicated app pod, Fixed Price, and Time & Material / Staff Augmentation.
26+ years, a Microsoft Solutions Partner (Data & AI; Digital & App Innovation), ISO 9001 and ISO/IEC 27001 certified, Claude and OpenAI partner, 100+ native apps shipped - senior cross-platform and AI engineering, on time.
Tell us your idea, platforms and must-have features. We’ll recommend native vs cross-platform, an AI strategy, and a plan to ship.
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