UTARN

Analog in-memory computing AI inference chips based on RRAM memristors (NPU chips and IP) for low-power edge and endpoint AI devices.

In-house FHE accelerator chip/SoC (PCIe card for cloud servers) and encrypted cloud computing platform Niobium Fog, running FHE thousands of times faster than general-purpose CPUs; lets AI and data processing workloads run directly on encrypted data in high-privacy, compliance-heavy settings such as finance, healthcare and pharma, government and defense, and digital advertising.

$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.

Neuromorphic sensing-memory-compute chips, using brain-inspired computing and mixed-signal design to integrate sensing, storage and computation

Strategic · 2026-10

Superconducting quantum chip design, fabrication and control, plus quantum computing cloud services.

Series A · $7M · 2026-07

Software-defined/3D near-memory computing high-performance AI chips, plus AI accelerator cards, servers and computing cluster solutions.

Series A · 2026-07 · Valuation $1.7B

Compute-in-memory AI inference chips and complete systems for data centers

Series B · $236M · 2026-05

Silicon photonics-based photonic quantum computing chips that run at room temperature and deploy at the edge and in space

$1M

Photonic AI inference chip (DX-1/optical tensor processing unit) that uses SRAM plus photonic interconnects to bypass the HBM bottleneck, with accompanying optical networking and rack-scale systems

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

12-inch single-crystal 2D semiconductor wafer growth platform for next-generation AI and high-performance computing chips

Seed · $15M · 2026-09

New AI technology combining lab-grown human brain cells with computer chips

Undisclosed · $10M · 2023-06

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

Series A · 2026-09