Wearable app development for always-on hardware.
Smartwatch apps, smart eyewear, fitness tracker integrations, and VR wearables — engineered for the constraints of personal devices: short sessions, low power, real-time sensors, and AI that runs where the user is.
Personal devices, deeply personal software.
Wearable apps converge your product ideas onto the most intimate computing surface users own — always on, always sensing, always contextual. The engineering constraints are distinct from mobile: tiny screens, intermittent connectivity, sub-second interaction windows, and battery budgets measured in milliwatts. We build for those constraints. See the full scope of our what we do practice, or how our AI & ML engineering team powers the intelligent layer on top of sensor data.
Countries where we have delivered products — wearable projects included. Local App Store, Play Store, and health-data compliance handled.
Projects delivered since 1998 — the processes that prevent costly post-launch failures are embedded in our default delivery model.
One team covers watchOS, Wear OS, Tizen, Fitbit OS, Google Glass, Cardboard, and custom BLE hardware — no vendor-switching per category.
Wearable software across every form factor.
From wrist to face to pocket-sized VR viewer — each device category has distinct interaction patterns, SDK constraints, and health-data rules. We have shipped in all of them. Browse the full industries index to see how wearable apps intersect with healthcare, fitness, and enterprise verticals.
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Smartwatch applications
Native and cross-platform apps for Apple Watch (watchOS), Wear OS, Samsung Galaxy Watch (Tizen), and Garmin — bringing new features and functionalities to wearables across every form factor.
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Google Glass & smart eyewear
Google Glassware built from the ground up or extending existing iOS and Android apps via the Google Mirror API — hands-free information overlays for field, medical, and industrial contexts.
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Fitness & health tracker integrations
Deep integrations with FitBit, Jawbone, Runkeeper, Runtastic, and Strava — plus custom device APIs — to unify health data, activity logs, and biometric streams in one platform.
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VR & immersive wearables
Multi-platform immersive apps for Oculus, Gear VR, Google Cardboard, iOS, Android, and web players — covering everything from enterprise training simulations to consumer VR experiences.
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Google Cardboard apps
Immersive visual experiences designed to run within Cardboard viewers — converting existing app ideas into VR-aesthetic content accessible on any smartphone-driven headset.
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Custom IoT wearable devices
Firmware-adjacent mobile and cloud layers for bespoke wearable hardware — sensor data ingestion, BLE/Wi-Fi communication, and real-time dashboards tuned to the device's constraints.
Intelligence that runs on the wrist.
Generic mobile AI models don't survive wearable compute budgets — latency, memory, and battery constraints demand on-device inference tuned for the hardware. Our AI engineering practice ships lightweight models alongside every wearable engagement.
Health anomaly detection
ML models running on-device or at the edge that flag irregular heart rate, blood oxygen dips, and gait deviations before they become clinical events.
Activity classification
Accelerometer and gyroscope streams classified in real time — distinguishing running, cycling, swimming, and sleep stages without manual input from the wearer.
Gesture recognition
IMU-based gesture models that turn wrist movements and taps into contextual controls — reducing interaction friction in glove-required, sterile, or hands-occupied environments.
Predictive health insights
Longitudinal models trained on the wearer's baseline that surface actionable insights — recovery readiness, stress indicators, hydration prompts — before the user asks.
Conversational voice commands
On-device NLP pipelines optimized for the compute constraints of wrist-worn hardware — low-latency intent parsing without routing every utterance to the cloud.
Biometric-aware personalization
Notification timing, workout recommendations, and coaching cadence adjusted dynamically to the user's real-time biometric state — not a fixed schedule.
SDKs and frameworks that ship to hardware.
watchOS and Wear OS anchor our smartwatch stack. Fitbit SDK and HealthKit for health integrations. Core ML and TensorFlow Lite for on-device inference. Unity 3D for immersive wearable experiences.
Partner with depth across every wearable category.
Twenty-seven years of product delivery compound into fewer wrong turns on your wearable project. See how we structure our delivery methodology end-to-end.
Five device families, one team
Smartwatches, smart glasses, fitness trackers, VR headsets, and custom IoT devices are all in scope. You don't need a different vendor per device category.
Health API depth
HealthKit, Google Fit, Samsung Health, and FitBit Web API integrations are live on previous engagements — your build inherits that plumbing on day one.
27 years of product delivery
Founded in 1998. 8,000+ projects across 3,000+ clients in 92+ countries. The delivery practices that prevent wearable-specific pitfalls — low memory, short sessions, unreliable connectivity — are already embedded.
AI built into the sensor layer
On-device and edge ML isn't a post-launch add-on for us. It's scoped into sprint one and connects directly to our AI & ML engineering practice.
Battery-aware architecture
Wearable software lives or dies by power efficiency. Our engineers optimize sensor polling rates, BLE advertising intervals, and compute scheduling — your app won't be the one users uninstall to save battery.
Working prototype in weeks
A functional wearable demo — live on real hardware — in three to four weeks. Enough to validate the interaction model and get stakeholder sign-off before the full production build.
Answers for wearable builders.
QWhich wearable platforms do you develop for?
QCan you integrate with HealthKit, Google Fit, and third-party health APIs?
QHow do you handle battery optimisation for wearable apps?
QCan you add AI-powered health insights to an existing wearable app?
QWhat does a typical wearable app project timeline look like?
QDo you handle the full pipeline — design, engineering, and QA on real devices?
Let's build your always-on experience.
Share a brief and we'll scope a working prototype on real hardware in three to four weeks — interaction model validated, sensor layer wired, full production path mapped from day one.