A L T M A T T E R

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VICE RESEARCH

Engineering
the physical layer

We research, design and manufacture advanced hardware, spatial computing devices and electronic appliances. Through VICE — Volumetric Interfaces and Cybernetic Engineering — we develop AI systems that sense, adapt and respond.

// AltMatter VICE

Hardware, software and AI — built as one system in Abuja, Nigeria

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VICE DISCIPLINES — ONE SYSTEM

Volumetric Interfaces

Lightfield optics and spatial computing that turn space into interface

Cybernetic Systems

Biosignal acquisition and adaptive feedback that listens to the body

From first signal to shipped hardware, we move as one integrated team — hardware, firmware, and AI in lockstep. Volumetric Interfaces and Cybernetic Engineering (VICE) ensure every device senses, adapts, and responds in the field, not just the lab.

Volumetric lightfield optics
01 Volumetric Interfaces

Volumetric Interfaces and Spatial Computing

Lightfield optics, waveguides and spatial rendering that turn space into interface. Hardware and rendering co-designed for 60-degree lightfields at arm's length.

  • Lightfield optics
  • Waveguide engineering
  • Hand-tracking & gesture
  • Spatial anchoring
Cybernetic wearable biosensor
02 Cybernetic Engineering

Cybernetic Engineering

Feedback, control and communication in regulatory systems. We design adaptive loops that govern human-machine behaviour — from stability and regulation to autonomy.

  • Feedback and control loops
  • Regulatory systems
  • Human-machine communication
  • Adaptive autonomy
Advanced hardware manufacturing
03 Advanced Hardware

Advanced Hardware and Manufacturing

Sealed enclosures, embedded systems and manufacturing handoff. From STL to anodized magnesium in 9 days, built for field conditions.

  • Enclosure design
  • Embedded systems
  • Rapid prototyping
  • DFM transfer
AI on-device inference
04 AI Systems

AI and Machine Learning Systems

On-device inference, adaptive models and real-time pipelines. Intelligence that runs where the hardware lives, no cloud required.

  • On-device inference
  • Adaptive models
  • Real-time pipelines
  • Edge deployment