Top 50 Analog Neural Network Chip in Asia

CogniFiber provides anomaly detection services for industrial IoT, cybersecurity, and fintech using photonics technology, achieving 100 times faster processing at half the cost. This solution enables organizations to identify and respond to irregularities in real-time, enhancing operational efficiency and security.

NeuReality designs AI-centric infrastructure that integrates a network addressable processing unit (NAPU) with purpose-built software to streamline AI inference workflows. This solution reduces reliance on traditional CPUs and networking components, addressing the complexity and inefficiencies that hinder AI model deployment and scalability.

Develops on-device AI semiconductor solutions, including custom NPUs, SoC ASICs, and specialized modules, optimized for low power consumption and high performance in applications like video analytics, security, and robotics. By enabling real-time AI processing with support for multiple models on a single chip, DEEPX addresses the challenges of latency, privacy, and network costs associated with cloud-based systems. Its scalable architecture and 259 patents ensure cost-competitive, silicon-proven products for global markets.

Analog provides edge computing solutions that utilize smart sensors and mixed reality devices to enhance real-time data interaction in various environments. This technology enables organizations to better understand and engage with their surroundings, improving operational efficiency and decision-making.

NEUCHIPS develops AI ASIC solutions, including the Evo Gen 5 PCIe Card and Gen AI N3000 Accelerator, specifically designed for deep learning inference in data centers. Their technology addresses the need for energy-efficient hardware that minimizes total cost of ownership (TCO) while enhancing performance for machine learning applications.

Hailo develops AI processors optimized for deep learning applications on edge devices, enabling high-performance video processing and analytics with low power consumption. Their technology addresses the need for efficient AI inferencing in various industries, including automotive and industrial automation, by facilitating the deployment of complex neural networks in resource-constrained environments.

Aantaric Technologies specializes in custom integrated circuit (IC) development, focusing on analog and mixed-signal designs for applications such as power management and automotive controllers. The startup addresses the need for efficient product development in the semiconductor industry by providing end-to-end solutions that accelerate electronic product design and enhance system performance.

NeuroBlade develops a purpose-built SQL Processing Unit (SPU) architecture that enhances data processing speed and efficiency, achieving up to 100x acceleration for complex queries. This technology addresses the limitations of traditional CPU architectures, enabling organizations to analyze petabyte-scale data more effectively while reducing infrastructure costs and power consumption.

Myelin Foundry develops edge AI algorithms that process complex unstructured data from video, voice, and sensors in real-time, optimizing performance on low-power devices. This technology enables enterprises to achieve immediate insights and automation, reducing operational costs and enhancing user experiences.

OPENEDGES Technology offers integrated memory subsystem IP solutions for ASIC and ASSP development. Their IP suite, including DDR PHY, memory controllers, and interconnects, optimizes power, silicon area, and DRAM performance for advanced computing applications.

The startup manufactures a chip that utilizes Compute Express Link technology to enable data center operators to efficiently pool and manage artificial intelligence accelerators, processors, and memory. This approach enhances system performance by providing adequate memory resources for diverse device integration, addressing the challenges of scalability and resource allocation in large-scale computing environments.

Asteromorph develops advanced AI systems with emergent intelligence through novel neural network architectures and unsupervised learning. The company's research aims to create AI capable of autonomously solving complex global challenges, accelerating scientific discovery.

The startup develops an AI-based NeuroMosAIc Processor (NMP) that integrates a RISC-V architecture for high-performance computing in semiconductor applications. Its technology enables clients to efficiently evaluate neural network performance metrics such as accuracy, memory bandwidth, and run-time using SDK solutions compatible with TensorFlow, Caffe, PyTorch, and ONNX frameworks.

The startup designs analog and power semiconductor system-on-chip (SoC) solutions that integrate power semiconductor technology with digital signal processing to enhance energy efficiency. This technology enables industrial, telecom, automotive, and consumer applications to minimize energy consumption and promote compact, environmentally friendly systems.

The startup develops a radar signal processing engine that utilizes neural networks and deep learning to enhance radar sensitivity, range, detection, and tracking capabilities. This technology enables ground, naval, and air defense systems to significantly outperform traditional radar algorithms, improving situational awareness and operational effectiveness.

Clounix develops high-performance network chips designed to enhance data transmission speeds and reliability in complex network environments. Their solutions address the challenges of bandwidth limitations and latency, enabling seamless connectivity for data-intensive applications.

The startup develops AI technology that integrates Microcontroller Units, Central Processing Units, and application processors to enable efficient AI deployment in smart sensors, wearable devices, and robotics. This technology allows clients to transition from costly GPU instances, significantly reducing model size, inference time, and operational costs.

Wayne Hills Neuralink AI is developing a brain-computer interface (BCI) that connects polymer microelectrodes to the brain to capture and interpret electrical signals associated with perception and cognition. This technology aims to enhance communication and interaction for individuals with neurological conditions by providing a direct link between brain activity and digital devices.

PGV develops wearable brain wave sensor devices that utilize AI-driven EEG analysis to visualize and quantify brain activity. Their technology addresses the need for accessible and accurate monitoring of neurological conditions, enhancing patient care in healthcare settings.

Westwell Lab specializes in neuromorphic circuits and systems, providing advanced solutions for efficient data processing and real-time decision-making in complex environments. The lab addresses the need for improved computational efficiency and adaptability in applications such as autonomous driving and smart logistics.

Axera develops high-performance AI System-on-Chips (SoCs) that utilize hybrid precision processing and pixel-level AI imaging technology to enhance edge computing applications in smart IoT, autonomous driving, and robotics. Their solutions address the need for efficient, high-quality data processing and imaging in complex environments, enabling advanced functionalities in various edge devices.

Aura Semiconductor designs advanced mixed-signal integrated circuits for efficient power management. Their high-performance power management ICs, including low-noise LDOs and power modules, deliver clean and stable power for demanding applications in communications, data centers, and automotive systems.

CanSemi provides customized foundry services for analog integrated circuits on a 12-inch wafer fabrication line. The company offers specialized process technologies to meet the demand for analog chips in automotive, IoT, and 5G applications.

The startup develops a family of processors optimized for cloud and edge computing, specifically targeting artificial intelligence and machine learning workloads. Their patent-pending chip design technology reduces transistor count while enhancing performance, enabling businesses to lower power consumption and improve yield and reliability.

3PEAK designs and supplies a broad portfolio of high-performance analog integrated circuits, including amplifiers, data converters, and power management solutions. They provide application-specific components for automotive, communication, and industrial electronics, simplifying the selection process for engineers.

The startup offers a semiconductor design platform that utilizes machine learning for automated modeling, enabling self-learning from collected data. This technology reduces development time and minimizes design errors, enhancing the efficiency of semiconductor design processes.

Mobilint develops neural processing unit (NPU) solutions optimized for edge AI applications, achieving up to 80 TOPS performance with low power consumption. Their technology supports over 100 AI algorithm models and provides a user-friendly SDK, enabling efficient development for various edge devices.

Develops neurotechnology and neuromorphic computing solutions that leverage brain-inspired algorithms to process and interpret neural data. This approach addresses challenges in understanding brain function and developing advanced neuro-robotic systems for applications in healthcare, robotics, and artificial intelligence.

Moffett AI designs AI chips that accelerate processing in both terminal and cloud environments, enhancing computational efficiency for AI applications. Their technology addresses the demand for faster and more efficient AI processing capabilities in various industries.

The startup develops financial technology that employs artificial intelligence and machine learning to create neural networks tailored for the financial services sector. This technology enhances efficiency by automating credit risk assessment, market risk analysis, compliance checks, and operational processes, reducing reliance on manual tasks and traditional automation tools.

NeuroWatt provides a full-stack AI infrastructure platform that enables users to rent GPU computational power and access AI solutions for model training and deployment. The company supports AI project development through incubation funding and community collaboration, addressing the need for scalable resources in the rapidly growing AI sector.

The startup develops a platform for generating lightweight code that executes artificial intelligence algorithms, enhancing deep learning and hardware research. This technology enables engineers to increase productivity and efficiency by streamlining the implementation of AI solutions.

Nemesis develops small, low-power bio-diagnostic solutions utilizing system-on-chip (SoC) technology and intelligent biosignal processing to enhance the accuracy of medical diagnostics. Their technology addresses the need for efficient and precise monitoring of biological signals in medical devices and services.

SoyNet provides an inference-only acceleration solution that enhances the speed of AI model execution through optimized hardware utilization. This technology addresses the latency issues faced by applications requiring real-time AI decision-making, enabling faster and more efficient processing.

Neurazum develops specialized artificial intelligence algorithms that analyze neurological and physiological data to diagnose and recommend treatments for individuals with mental and physical health conditions. By enhancing the integration of neuroscience and AI, the company aims to improve patient outcomes through more accurate and personalized healthcare solutions.

Cortical Labs develops biological computing systems that integrate lab-grown human neurons with silicon chips to create hybrid computing platforms. This technology enables more efficient data processing and complex problem-solving capabilities, addressing limitations in traditional computing architectures.

Singularity Dynamics develops machine learning-based verification tools for silicon chip designs, significantly enhancing productivity in the validation process. This technology reduces costs and accelerates time-to-market for custom System-on-Chip (SoC) and CPU designs, addressing the challenges of lengthy verification schedules in the semiconductor industry.

The startup develops nanotechnology products that enable real-time

Description: Unreal AI develops software that enables artificial intelligence models to operate on edge devices, enhancing processing efficiency and reducing latency. This technology addresses the limitations of cloud dependency by allowing real-time data analysis and decision-making directly on the device. Web Content:

This company develops in-memory computing chips that enable efficient deep learning operations for AIoT applications like wearables and smart devices. Their chips offer high performance at microwatt to milliwatt power levels, reducing computing costs for enterprises.

Chips&Media provides hardware IP solutions for video encoding, decoding, and neural processing units (NPUs). Their IPs enable high-performance, power-efficient video processing and AI acceleration for edge devices, supporting advanced codecs like AV1 and HEVC, and optimized for image processing applications.

Telechips designs and manufactures high-performance Application Processors (APs) and System-on-Chips (SoCs) for the automotive industry. These semiconductor solutions provide the computational power for advanced in-vehicle infotainment and driver-assistance systems (ADAS), enabling OEMs and Tier-1 suppliers to develop intelligent and connected vehicle platforms.

TwinSense utilizes neuromorphic sensing and processing technologies, including event-based vision sensors and computer vision, to develop EdgeSmart Technology™ for real-time data analysis. The company addresses challenges in social concerns by providing tailored solutions that enhance situational awareness and decision-making in various applications.

The startup is developing augmented neural self-computing technology that enhances data processing efficiency through advanced neural network architectures. This technology addresses the limitations of traditional computing methods by enabling real-time, on-device processing for applications requiring high-speed data analysis.

ASPEED Technology designs fabless System-on-Chip (SoC) solutions for advanced computing and media processing. Their specialized SoCs enable efficient remote server management, PC/AV extension, and panoramic image processing for cloud, enterprise, and smart AV applications.

Listenai designs AI System-on-Chip (SoC) solutions that integrate a tri-core heterogeneous processor with advanced audio and visual interfaces, enabling efficient processing for applications like voice recognition and noise reduction. Their technology addresses the need for high-performance, low-power computing in smart home devices, educational electronics, and consumer products.

Torex Semiconductor develops and manufactures analog power management ICs, including DC/DC converters and voltage regulators. Their high-efficiency, miniaturized solutions enable the creation of smaller, more power-conscious electronic devices for consumer, industrial, automotive, and IoT applications.

AIRIS Labs offers high-performance AI IP cores for ASIC and FPGA integration, enabling efficient on-device machine learning. Their solutions include programmable KNN IP for custom silicon designs and edge AI devices for local facial recognition and temperature monitoring.