Zhizi Guangyuan

Reconfigurable AI chips (XPU) for AI training and inference

In-house FHE accelerator chip/SoC (PCIe card for cloud servers) and encrypted cloud computing platform Niobium Fog…

$6M

Compute-in-memory (CIM) AI memory chips and inference racks that let data centers support more users and longer context at the same power.

Silicon photonic chips based on all-optical reservoir computing architecture; products are optical computing AI processors for edge AI

Angel · 2026-09

3D compute-in-memory AI inference chips: 64 TOPS CIM units with in-house RISC-V vector architecture, 6GB-48GB 3D DRAM

Angel · $15M · 2026-10

Mixed-signal SNN event-driven compute cores for physiological signals, licensed to home, rehab and neuro device makers; no devices

Undisclosed · 2026-07

General-purpose reconfigurable RISC-V processor for physical AI (sensing, AI inference and real-time control on a single chip)

Seed · $18M · 2026-10

Fault-tolerant superconducting quantum processors built on a multilayer error-correction architecture that cuts error-correction overhead about 100x…

Undisclosed · 2026-11

Photonic AI inference chip (DX-1/optical tensor processing unit) that uses SRAM plus photonic interconnects to bypass the HBM bottleneck…

Series B · $532M · 2026-08 · Valuation $3.3B

Superconducting quantum processor architecture embedding digital control logic in the cryostat, integrating 1 million qubits in one cryostat

Series A · $34M · 2025-08

Quantum computing company developing neutral-atom processors

IPO · $300M · 2026-08

Programmable ASICs and rack-scale systems for foundation model inference, using processor-memory co-design to cut energy use

Series A · 2026-09