Zylvex Applied Physics R&D Labs

Advancing the bounds of applied physics & geometry.

Zylvex operates an advanced R&D laboratory. We research deterministic geometry kernels, multi-node telemetry compression, and spatial computing to build sovereign platforms for physical industries.

Empirical Demonstration

Real-Time Simulation & XR Video Loops

Demo Video 01

ZylForge CAD & Neural Engine Loop

Direct B-Rep NURBS surface evaluation with local ONNX neural intent parsing.

Demo Video 02

HarmoniaXR Spatial Digital Twin

Multi-user Unreal Engine 5 spatial collaboration displaying real-time telemetry overlays.

Active R&D Pipelines

Core Technical Research Areas

Each pipeline translates foundational scientific theorems into production software assets.

AI Research & Symbolic Physics

Investigating neural network architectures bounded by mechanical engineering rules. Developing methodologies to compile natural language specifications directly into verifiable structural nodes, constrained by Hooke's law and materials constants.

High-Performance Geometry Systems

Expanding our hybrid B-rep/mesh geometry kernel to support instant tessellation, mesh-boolean subtraction, and topological deformation tracking on GPU structures. Eliminating mesh conversion latency.

Spatial XR Computing (OpenXR)

Developing Unreal Engine 5 network streaming protocols to stream multi-million polygon CAD geometries to AR/VR headsets in real-time. Designing interactive 3D spatial annotations linked to PLM coordinate systems.

Precision Audio & Wave Mechanics

Applying mechanical tolerance and physics-based vibration equations to the acoustic wave domain. Building local ONNX-driven audio processing systems to isolate frequency waveforms and automate mixing.

Early Access

Research Concepts Waitlists

Apply for early access or research collaboration across our active environments.