The Atomica AI Optical Connectivity Platform is a modular microfabrication platform for the precision structures that move optical connectivity closer to compute — for Optical I/O, fiber alignment, optical engines, and AI data-center interconnect. As AI clusters grow larger, denser, and more power-hungry, moving data is becoming as critical as processing it, and copper is reaching its practical limits. Atomica doesn’t build your GPUs, lasers, or transceivers; it manufactures the enabling structures that make optical integration practical, manufacturable, and scalable — V-groove fiber alignment, silicon optical benches, microlenses, micromirrors, waveguides, wafer-level packaging, interposers, and 3D interconnect — from prototype through volume production.

What you will find out in this guide

  • Applications of the AI Optical Connectivity Platform — The system-level architectures it supports: high-speed optical transceivers, optical engines, near-packaged optics, co-packaged optics, and external laser source modules.
  • The function of the AI Optical Connectivity Platform — How the platform enables optical alignment, optical routing and control, and optical packaging and integration as one physical layer between photonic devices and deployable AI hardware.
  • Common Block Library — The reusable microfabrication building blocks — V-grooves, silicon optical benches, microlenses, micromirrors, waveguides, wafer-level packaging, through-glass and through-silicon vias, and interposers — combined and adapted to each customer architecture.
  • Advantages of the AI Optical Connectivity Platform — Why a modular, platform-based approach shortens development time, reduces process risk, improves manufacturability, and provides a structured path from concept to scalable manufacturing.
  • Fabrication considerations of the AI Optical Connectivity Platform — The optical, mechanical, electrical, thermal, and manufacturability tradeoffs that determine insertion loss, coupling efficiency, yield, reliability — and whether a design can scale.