AR features, spatial computing experiences, and Vision Pro apps that layer digital intelligence onto the real world — engineered to hold up under bad lighting, cluttered environments, and users who won't read an onboarding screen.
Tools & Technologies
Mixed reality surgical planning tool for medical professionals — renders patient-specific DICOM imaging data as manipulable 3D anatomical models overlaid in the surgeon's field of view via HoloLens. Haptic feedback simulates tissue resistance during pre-operative planning, reducing time in theatre and improving procedure confidence.
Enterprise AR platform for industrial field service — a junior technician wearing an AR headset sees live visual guidance from a remote senior engineer overlaid directly onto the machinery in front of them. LiDAR-based spatial anchoring keeps annotations locked to physical components even as the technician moves, and WebRTC handles the low-latency video link that makes real-time instruction possible.
Consumer AR experience for a passionate fan community — uses ARKit world tracking and RealityKit anchoring to overlay interactive 3D content onto real-world locations via phone camera. Players discover, collect, and cast AR experiences at physical landmarks. Built to run on the iPhone models the majority of the fan base actually owns, not just the latest hardware.
AR tracking breaks in low light, fails on reflective surfaces, and loses anchors when users move quickly. We test in the environments where your app actually lives — warehouses, hospitals, living rooms, outdoor spaces — and engineer tracking robustness, fallback states, and graceful degradation for every condition we find.
Mobile AR on iOS and Android covers your current users. visionOS targets where spatial computing is heading. We build on ARKit, ARCore, and RealityKit so your experience runs on the device your users have today and extends to the platforms they'll have tomorrow — without rebuilding from scratch for each one.
First-time spatial users don't read instruction screens. We design interaction cues, visual affordances, and onboarding flows that teach the mechanics through use — so users discover what your experience can do by doing it, rather than being told before they start.
Not a demo environment with controlled lighting and a flat, texture-rich surface. Real lighting, real clutter, real movement. We profile tracking stability across device tiers and environment types before launch — because an AR experience that loses tracking halfway through is one that gets deleted and not reopened.
Spatial computing is compute-intensive. We profile frame rate, thermal load, and battery draw on the device distribution your actual users have — including mid-range handsets — and optimise rendering pipelines until performance is acceptable across the board, not just on a flagship.
The novelty of AR wears off quickly if there's no underlying reason to return. We design the engagement loop, content discovery mechanics, and return triggers from the start — so session two isn't just curiosity and session three isn't an accident.
visionOS adoption is growing. We structure spatial apps on RealityKit and standard spatial anchoring APIs so your iOS AR experience can be extended to Apple Vision Pro as a meaningful upgrade, not a separate product built from scratch when the client base arrives.
App Stop takes ownership of both product thinking and execution. We combine design clarity, engineering discipline, and market context to ship experiences that are fast, usable, and ready to scale.
Delivery Model
We define the product problem, success metrics, and the delivery track that fits the business.
We shape the technical foundation, delivery milestones, and risk controls before sprint work begins.
We execute in focused iterations with demos, QA, instrumentation, and release planning in parallel.
We launch with observability, support, and a practical roadmap for what comes next.
Selected Work
FAQ
All three. Mobile AR on iOS and Android via ARKit and ARCore covers the broadest user base. Browser-accessible WebXR experiences remove the install barrier for campaigns or one-time activations. Native visionOS apps for Apple Vision Pro target the spatial computing use cases where full immersion and hand/eye tracking add genuine value. We recommend the right platform based on where your users are and what level of interaction your experience actually needs.
Yes — and this is one of the most common starting points. We import existing 3D models (GLTF, OBJ, FBX, USDZ), adapt them for real-time rendering on mobile hardware, and build the spatial interaction layer on top. If assets aren't optimised for AR (high polygon counts, missing LODs, incorrect scale), we'll flag it early and handle the optimisation pass as part of the project scope.
By designing interaction cues, visual affordances, and spatial onboarding as core product problems from the very first wireframe. In spatial computing there's no screen edge, no back button, and no familiar tap-based UI to fall back on — which means every interaction mechanic has to teach itself. We prototype spatial interactions early, test them with people who have never used AR before, and iterate until the experience is navigable without instruction.
We test in the actual environments from early in the build — not just in the office. For Lumen, that meant industrial facilities with reflective floors, moving equipment, and variable lighting. For consumer AR, it means outdoor spaces, retail environments, and living rooms. We build fallback states for tracking loss, calibration flows for poor-lighting conditions, and graceful degradation paths so users aren't left staring at a broken experience when conditions aren't ideal. Real-world robustness is an engineering requirement, not a QA afterthought.
It depends on your audience and use case. Vision Pro's current install base is small but the users who have it are highly engaged and represent enterprise, creative, and early-adopter segments that are disproportionately valuable for certain products. If your use case genuinely benefits from full spatial immersion — surgical planning, remote industrial assistance, high-end retail — building natively for visionOS now gives you a credibility advantage and a head start on the learning curve before the hardware reaches mainstream. If your primary audience is on iPhone and your AR features work well there, extending to Vision Pro later via RealityKit is a straightforward path. We'll give you an honest recommendation based on your specific product and timeline.
