This company develops high-performance, general-purpose RISC-V application processors designed to eliminate CPU bottlenecks in modern AI, cloud, and edge computing workloads. Their clean-slate 64-bit CPU architecture focuses on maximizing per-core performance and instruction-level parallelism to address serialization latency in Agentic AI operations. The resulting silicon delivers breakthrough performance tailored for compute-intensive tasks where legacy architectures fall short.

Black Semiconductor offers wafer‑scale, single‑crystal graphene integrated photonics (IGP™) that combine optical and electronic functions on a CMOS‑compatible chip. By converting electrical signals to optical signals instantly and replacing copper interconnects with low‑loss waveguides, their technology delivers higher bandwidth, lower latency, and reduced power consumption for data‑center and high‑performance computing chips.

Elve manufactures millimeter wave amplifiers using advanced materials and additive manufacturing techniques, significantly increasing production capacity and reducing costs. This technology enables high-speed wireless internet connectivity that surpasses current 5G capabilities, addressing the demand for faster and more reliable connections for both consumers and IoT devices.

EtherWhere develops a low-power GPS chip that enhances GPS sensitivity while minimizing energy consumption for devices with limited power resources. This technology enables accurate location tracking in wearables and IoT applications, addressing the challenge of maintaining performance in energy-constrained environments.

Exostellar's website is currently unavailable, so specific details about its product or service are not provided.

Falcomm designs high‑efficiency power amplifiers using its patented Dual‑Drive™ architecture, delivering up to 54% PAE and significantly more RF output across sub‑GHz to mmWave frequencies while minimizing heat, weight, and power consumption. The company offers a turn‑key portfolio—from CMOS and GaN RFICs to custom front‑end modules—with in‑house testing and high‑volume manufacturing, targeting satellite, telecom, and defense applications that demand compact, low‑power RF front‑ends.

IonQ develops quantum computers using trapped-ion technology, which utilizes atomic ions as qubits to achieve high performance and scalability. Their systems address complex challenges in various industries, including drug discovery, carbon sequestration, and battery material optimization, by providing powerful computational capabilities.

Numem develops NuRAM and SmartMem SOC subsystem IPs that enhance MRAM performance while significantly reducing power consumption compared to traditional SRAM, achieving 2.5x smaller area and 85x-2000x lower leakage power. This technology provides efficient memory solutions for high-performance applications, including AI inference and data centers, where power efficiency and space optimization are critical.

Pacific Light Hologram develops integrated circuits and opto-electronic assemblies to enhance the performance of holographic displays. Their technology addresses the limitations of current display systems by providing higher resolution and improved light manipulation for various applications.

Rapid Silicon develops domain-specific field-programmable gate arrays (FPGAs) optimized for high-performance applications in telecom, automotive, industrial, and data processing sectors. Their technology addresses the need for flexible, low-latency processing solutions that can adapt to rapidly evolving standards and complex computational requirements.

Rivos develops high-performance, power-efficient server solutions based on RISC-V architecture, utilizing workload-defined hardware to optimize performance for enterprise applications. The company addresses the need for secure and efficient computing in data centers, enabling businesses to enhance their operational efficiency and reduce energy consumption.

The startup develops deep sub-threshold analog in-memory computation semiconductors that execute data-center-grade AI workloads with significantly lower power consumption and no active cooling. This technology processes data within memory, enabling industries to efficiently handle complex tasks while minimizing energy use.

SEEQC develops a semiconductor-based quantum computing system-on-a-chip that integrates heterogeneous quantum processing units (QPUs), graphics processing units (GPUs), and central processing units (CPUs) for scalable quantum applications. This technology addresses the limitations of traditional quantum computing by enabling efficient chip-to-chip integration and supporting various qubit modalities for commercial use.

Snowcap Compute provides a commercial superconducting computing platform that runs at 4.5 K, delivering orders‑of‑magnitude higher energy efficiency and performance than traditional CMOS processors. The solution uses standard semiconductor fabs and integrated cryogenic cooling, offering a drop‑in hardware stack—including processors, cooling infrastructure, and software tools—for data‑center operators and AI/HPC workloads seeking lower power consumption and higher compute density.

Vorticity is developing a custom silicon chip architecture and integrated system designed to accelerate scientific computing tasks, achieving compute speeds up to 1,000 times faster than current solutions. This technology enables efficient simulations for critical applications such as drug discovery, carbon capture site optimization, and hypersonic aircraft design.