Overlaying graphics on a camera feed isn't mixed reality. We build spatial computing apps that understand the space — scene mesh, persistent anchors, real occlusion, and hand tracking — so digital objects rest on real tables, hide behind real walls, and stay where you left them on Vision Pro and Quest.
The machine understands the room
scene mesh · 18.4k planes detected
Spatial anchor drift
Field-task time delivered
Anchors across sessions
Validated in real environments
Understanding, anchoring, occlusion
Believable mixed reality lives or dies on whether digital content respects the physical space. That takes real scene understanding — not a transparent sticker over a camera feed.
Scene reconstruction and plane detection build a live mesh of the space — so digital content interacts with real surfaces, not a flat camera image.
Spatial anchors pin content to precise real-world spots, persistent across sessions and shareable between users, with sub-2mm drift control.
Real objects correctly hide digital ones — the single biggest cue that makes mixed reality believable instead of a floating overlay.
Natural hand tracking and eye-gaze interaction so users reach out and manipulate spatial content directly — no controllers required.
What you get
Scene-aware, anchored, and occlusion-correct — validated in the actual environment it'll run in, not just a clean demo space.
From space design to deployment
We design how content lives in the room — where it anchors, how it scales, and how users move and reach — before any code.
Mesh reconstruction, plane detection, and persistent spatial anchors built on visionOS, Quest Scene API, or ARKit/ARCore.
Correct occlusion against the real mesh plus hand-tracking and gaze input, tuned and profiled on the target device.
On-site validation in the real environment, anchor-persistence and drift testing, then deployment and team enablement.
Spatial computing, in production
A heavy-equipment firm flew experts to sites for complex repairs. We built a spatial computing assist app where remote experts anchor instructions onto the technician's actual machine.
Helix Field Services
Industrial equipment · USA
Task completion time
First-time-fix (was 68%)
Expert travel cost
Anchor precision
“Our experts used to fly out for every tricky repair. Now they anchor arrows and instructions directly onto the technician's machine, and the overlay stays locked to the right bolt even as they move around it. First-time-fix went from sixty-eight to ninety-four percent — and travel costs collapsed.”
Straight answers
Spatial computing is software that understands and operates on the physical space around the user — detecting surfaces, mapping the room in 3D, anchoring digital content to real locations, handling occlusion (digital objects hidden behind real ones), and tracking hands and gaze. It's the foundation of true mixed reality on devices like Apple Vision Pro and Meta Quest, where digital content lives in the real world rather than floating on a screen.
Basic AR overlays content on a camera feed without understanding the space. Spatial computing builds a real 3D model of the environment — so digital objects rest on actual tables, hide behind real furniture, stay anchored when you walk away and return, and respond to your hands. It's AR that genuinely shares the room with you.
Apple Vision Pro (visionOS, ARKit, RealityKit), Meta Quest (Presence Platform, Scene API, Passthrough), and mobile via ARKit and ARCore. We use spatial anchors, scene understanding, mesh reconstruction, and hand-tracking APIs across these platforms, targeting OpenXR where it's supported.
Spatial anchors pin digital content to a precise real-world location so it stays put — and can persist across sessions and even be shared between users. They're what make a virtual screen stay on your wall, or a shared 3D model stay on the same table for everyone in the room. Anchor precision and drift control are core to a believable experience.
Enterprise use cases include hands-free guided work and remote assistance for field technicians, 3D design and digital-twin review at real scale, training overlaid on real equipment, spatial data visualization, and collaborative review where remote teammates share an anchored 3D space. The payoff is fewer errors and faster work on physical tasks.
Tell us the space and the task. We'll come back with a spatial-UX and platform plan, a pilot scope, and a fixed quote.
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