Cognitive Friction of 2D Blueprints
Field engineers struggle to translate flat 2D engineering drawings into physical 3D machinery during assembly and repair.
Direct Definition
What is Spatial Computing?
Spatial Computing is a computing paradigm that merges digital data with physical space, allowing human users and machines to perceive, track, interact with, and manipulate 3D digital objects anchored in the real world.
Strategic Value
Why this capability matters
Flat 2D screens fail when training technicians on complex 3D machinery, planning warehouse layouts, or inspecting architectural construction. Spatial computing makes 3D data natural, intuitive, and hands-free.
Consult our engineering teamOperational Challenges
Problems we solve with Spatial Computing.
Real-world engineering and organizational obstacles addressed by our architecture.
Lack of Hands-Free Information Access
Maintenance technicians must stop work, put down tools, and look at paper manuals or laptops to check repair steps.
Expensive Physical Prototyping
Building physical full-scale mockups of vehicle interiors, architectural rooms, or factory layouts costs hundreds of thousands of dollars.
Geographic Barriers to Spatial Collaboration
Engineers in different cities cannot easily inspect and manipulate 3D CAD prototypes together in real time.
Technical Capabilities
Engineering specifications and architecture.
Key technical components engineered and deployed for production stability.
Spatial Mapping and Environment Meshing
Generate precise 3D spatial meshes of physical rooms and equipment using LiDAR and computer vision.
Hands-Free Gesture and Eye Tracking
Build intuitive user interfaces controlled by natural hand pinches, eye gaze, and voice commands.
Cross-Platform WebXR Development
Deploy accessible spatial computing applications accessible via standard web browsers on devices like Apple Vision Pro and Meta Quest.
Real-Time Multi-User Spatial Collaboration
Allow dispersed engineers to stand inside the same virtual 3D room and manipulate CAD models collaboratively.
Implementation Methodology
How we deliver production-ready systems.
Our phased delivery process establishes clear baselines, deterministic testing, and seamless systems integration:
- Spatial User Experience (Spatial UX) Design: We map physical ergonomic zones, comfortable viewing distances, and intuitive hand interaction gestures.
- 3D Asset Optimization and Decimation: We decimate heavy engineering CAD meshes into lightweight, high-performance 3D spatial assets.
- Spatial Anchor and Tracking Implementation: We implement spatial anchors that pin virtual diagrams permanently to physical machinery.
- Field Testing and Usability Calibration: We test the application in actual operating environments to ensure ergonomics, clarity, and safety.
Technology Considerations
Engineered for scale and reliability.
Built with WebXR, Three.js, Unity, Apple visionOS (SwiftUI/RealityKit), Meta Horizon OS, and LiDAR spatial scanning.
Discuss architecture detailsProduction Applications
Real-world enterprise implementations.
Concrete operational use cases illustrating measurable outcomes across commercial environments.
Industrial Equipment Maintenance Overlay
Overlaying virtual holographic repair instructions and torque specifications directly onto aircraft engines for hands-free maintenance.
Architectural BIM Construction Walkthrough
Allowing developers to walk through a raw construction site and see finished walls, HVAC pipes, and finishes overlaid in place.
Automotive Interior Ergonomics Prototyping
Evaluating car dashboard ergonomics and driver sightlines in spatial computing before building physical clay models.
Business Impact
Measurable operational outcomes.
Tangible performance improvements achieved through disciplined engineering and validation.
Business Impact
Significant reduction in maintenance assembly and repair errors
Business Impact
Hands-free operational access to technical specifications and schematics
Business Impact
Drastic reduction in physical prototype manufacturing expenses
Business Impact
Real-time global collaboration on complex three-dimensional engineering projects
Common Questions
Frequently asked questions about Spatial Computing.
Clear answers to help you evaluate feasibility, data requirements, and deployment.
We build both native visionOS applications for Apple Vision Pro, native applications for Meta Quest 3/Pro, and cross-platform WebXR applications that run across any WebXR-compliant device and browser.
Yes. We also build mobile spatial computing applications using ARKit and ARCore that run on standard iPads and smartphones, allowing workers to anchor 3D models using device cameras.
We use spatial anchors, visual fiducial markers (QR codes), or feature-based visual tracking that matches physical geometry, ensuring virtual diagrams stay fixed to the exact physical bolts they describe.