LightmatterScale-up

Building photonic processors that perform neural-network matrix math in the optical domain.

Photonic AI accelerators where topological photonic design could harden interconnects.

Builds photonic processors executing neural-network inference in light — the core of this collision.

Nanophotonic hardware where nonlinear light-matter coupling meets device-scale engineering.

Builds photonic hardware for AI inference — optics as the compute substrate itself.

Builds programmable photonic circuits specifically to accelerate AI inference — directly on the A/B bridge.

Photonic computing — the optoelectronics-as-compute end of the same convergence.