Top 50 Edge Computing in Asia

Vicharak develops the Vaaman edge computing board, which integrates a six-core ARM CPU with a reconfigurable FPGA to enhance parallel processing capabilities for applications like object classification and cryptographic algorithms. This technology addresses the limitations of traditional computing by providing a flexible hardware platform that accelerates performance in demanding edge AI and machine vision scenarios.

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.

EdgeCortix develops the SAKURA-II Edge AI Platform, an energy-efficient AI accelerator that delivers up to 240 TOPS for real-time inferencing in compact, low-power modules. This technology addresses the need for high-performance AI processing at the edge, significantly reducing operational costs across various sectors, including defense, robotics, and smart manufacturing.

The startup operates an IoT platform that utilizes deep learning inference on edge devices to gather and analyze real-world data. This technology enables businesses to efficiently deploy and manage edge computing systems, reducing operational costs and time to market.

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.

Designs cost-effective, feature-rich System on Chips (SoCs) using the SHAKTI open-source processor framework, tailored for secure IoT devices and edge computing applications. These scalable, deep-embedded SoCs enable advanced functionalities like multi-camera connectivity, edge inference, and biometric processing in compact form factors, addressing the growing demand for reliable and secure semiconductor solutions in consumer electronics, automotive, and defense sectors.

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.

IO River provides a unified layer of security, traffic control, and serverless computing across multiple Edge platforms, ensuring 99.999% availability and optimal performance for online services. By enabling dynamic traffic management and reducing infrastructure costs, the solution addresses the challenges of reliability and performance in multi-vendor architectures.

Cloudwalk offers an AIoT platform that integrates edge devices, a collaborative operating system (CWOS), and multimodal foundation models to provide on‑device inference and standardized APIs for vision, speech, and language processing. The solution includes privacy‑computing, data‑governance, and AI‑Agent tools, allowing large enterprises and public agencies in finance, manufacturing, energy, and smart city domains to deploy AI capabilities without extensive custom integration.

Morphware offers an AI deployment framework that optimizes AI models for real-time image processing and edge computing. It simplifies the integration of these AI solutions into blockchain networks, enabling scalable and efficient decentralized AI applications.

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.

CASABOT provides an AI-powered platform that unifies smart devices from various brands and protocols into a single, intuitive automation system. Its on-premises gateway uses edge processing for context-aware automation and offline functionality, learning user routines to optimize device behavior and energy consumption while ensuring data privacy.

Hammerspace provides an automated data orchestration system that unifies and manages unstructured data across edge locations, data centers, and public cloud environments using a standards-based parallel file system architecture. This technology eliminates data silos, enabling organizations to optimize resource utilization and accelerate access to critical data for AI and high-performance computing applications.

SandLogic develops Edge AI platforms and Computer Vision APIs that enable businesses to optimize their operational processes through deep learning and machine learning solutions. Their technology facilitates the integration of AI into existing systems, enhancing efficiency and accuracy in data processing across various industries.

Maxbyte Technologies provides Industrial IoT solutions that enhance operational visibility and efficiency through technologies such as AI, RPA, and edge computing. The company enables manufacturers to achieve predictive maintenance and optimize resource utilization, facilitating a transition towards sustainable and autonomous industrial operations.

The startup develops software-defined wide-area networking technology that provides secure access service edge solutions for organizations. This technology enables secure connectivity for accessing IT applications and facilitates branch-to-branch communication, ensuring compliance with dynamic business policies across various locations.

Digital Edge is a data center platform that acquires and develops neutral data centers and digital infrastructure assets to enhance connectivity and scalability for businesses. By providing reliable and flexible data center solutions, it addresses the growing demand for efficient data management and storage in an increasingly digital economy.

HyperGAI develops multimodal large language models (LLMs) that can process and generate content from diverse inputs such as text, images, and videos, specifically designed for edge and mobile devices. Their technology enhances workplace productivity and creativity by providing efficient, open-source solutions that outperform larger proprietary models in various benchmarks.

Kluisz.ai provides an AI-powered cloud platform for deploying and managing enterprise workloads across on-premises, edge, and hybrid environments. Its API-first architecture and zero-trust security principles enable seamless application composability and unified management for distributed computing resources.

HUB Security provides a confidential computing platform that utilizes quantum-driven technology to isolate data and applications in secure enclaves, ensuring protection from unauthorized access during use. This approach safeguards sensitive information across various environments, including edge locations and private clouds, even when underlying infrastructure is compromised.

CyberWhiz provides IoT cybersecurity solutions that encompass edge, mobile, and cloud security, utilizing AI-driven monitoring and compliance expertise to protect against vulnerabilities in connected devices. The company ensures adherence to global IoT security regulations while offering specialized services like embedded security integration and post-quantum cryptography to safeguard critical infrastructure.

The startup develops on-device artificial intelligence systems that utilize large language models to convert diverse data types, including text, images, and videos, into searchable vectors. This technology enables businesses to efficiently process complex data, enhancing their analytical capabilities and competitive positioning in the market.

The startup provides a software-defined storage platform that enables deployment in hybrid cloud and cloud-native environments, facilitating seamless integration across on-premises, public, and edge cloud infrastructures. Its block storage technology enhances data center agility and flexibility while optimizing cloud storage costs, allowing clients to scale their storage solutions efficiently as their business grows.

17LIVE is a cloud‑native live streaming platform that provides sub‑second video latency through adaptive bitrate streaming and edge CDN distribution. It combines real‑time chat, polls, and a virtual gifting marketplace for direct creator monetization, supported by analytics dashboards and secure, age‑verified user management.

The startup develops an operating system that integrates a cloud network infrastructure with control and analytics units for both consumer and industrial devices. This technology enables businesses to leverage real-time data for actionable insights, enhancing operational performance and decision-making metrics.

Macrometa provides a Global Data Network with Edge Compute capabilities, enabling businesses to build real-time applications and APIs while ensuring data protection. Their technology addresses performance issues by delivering sub-second page load times and improving SEO, resulting in increased conversions and reduced operational costs.

CRON Systems develops senseEDGE, a deep learning platform that processes live 3D sensor data from LiDAR and other sensors to achieve high-accuracy object detection, classification, and tracking. This technology enhances traffic management and urban infrastructure by providing real-time situational awareness, even in challenging environmental conditions.

Nife provides a unified public cloud edge platform that automates the deployment, scaling, and management of applications across various infrastructures, including cloud, bare-metal, and Kubernetes. By enabling instant rollback and redeployment, Nife significantly reduces operational overhead and optimizes resource usage, resulting in substantial cost savings for businesses.

The startup develops AI-based computer vision technology that utilizes face verification and edge AI to optimize complex algorithms for low-cost, low-power edge devices. This technology enables accurate detection, recognition, and comparison of facial images, enhancing security and surveillance in urban environments and retail settings.

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.

The startup provides an open layer for edge computing on the Solana blockchain, enabling developers to deploy decentralized applications with low latency and high scalability. This technology addresses the challenges of data processing speed and resource allocation in distributed environments, enhancing performance for real-time applications.

ZETIC.ai provides NPU-powered on-device AI solutions that eliminate the need for cloud servers, significantly reducing operational costs by up to 99%. Their automated pipeline enables rapid transformation of AI models, achieving runtime performance up to 60 times faster than traditional CPU methods within 24 hours.

RobotEye develops AI-powered, unmanned surveillance systems with edge processing and satellite connectivity to enhance monitoring in high-risk environments. Their technology addresses the challenges of public safety, border security, and wildlife conservation by providing real-time situational awareness and autonomous monitoring capabilities in remote areas.

OmniEyes provides a platform that utilizes edge AI to analyze video data from vehicles, extracting insights on driver behavior, traffic conditions, and urban infrastructure. This technology enables businesses to optimize operations and enhance safety in the mobility sector without disrupting existing driver services.

SmartHub.ai provides AI-ML powered edge automation and unified endpoint management for IoT devices, enabling real-time monitoring and management of operational technology assets. The platform enhances operational efficiency and compliance by predicting anomalies and automating maintenance across extensive edge infrastructures, significantly reducing downtime and operational costs.

Monit provides IoT solutions that utilize real-time analytics, edge computing, and advanced sensor technology to enhance operational efficiency and decision-making across various industries. The platform addresses issues such as asset performance optimization, energy management, and cargo theft reduction, delivering measurable improvements in cost efficiency and sustainability.

EDGEMATRIX develops Edge AI Boxes equipped with high-performance GPUs for real-time video analysis and processing at the edge, enabling efficient deployment of AI applications in smart city environments. Their technology enhances safety and operational efficiency by detecting anomalies and events through integrated camera systems, facilitating remote management and maintenance.

The startup provides In-Band and Out-Of-Band remote device management services specifically for edge AI devices, enabling real-time monitoring and control. This technology reduces operational downtime and labor costs by streamlining device management processes for businesses.

AIsing develops embedded edge AI solutions for predictive maintenance and vibration suppression in industrial machinery, utilizing proprietary algorithms that operate without cloud dependency. Their technology enables real-time monitoring and forecasting of equipment failures, significantly reducing downtime and maintenance costs for manufacturers.

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.

Cambricon designs and develops artificial intelligence (AI) processors and acceleration cards for cloud, edge, and terminal applications. Their products, including MLUs and IP cores, are built on advanced architectures to enhance AI computing performance. The company also provides software development platforms and systems to support AI deployment.

Edgenesis provides Kubernetes-native IoT and edge AI solutions that enhance interoperability and scalability for industrial applications. The platform enables efficient device management and data integration, optimizing production processes while reducing operational costs across various sectors, including agriculture and logistics.

notch provides a plug-and-play energy management system that enables corporate tenants to control their office energy use without requiring building permissions or complex installations. The platform utilizes smart sensors and edge computing to optimize energy consumption based on real-time occupancy data, helping businesses reduce energy costs and carbon emissions while maintaining data privacy.

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.

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.

Nota AI develops NetsPresso, a hardware-aware AI optimization platform that streamlines the deployment of AI models across various devices. This technology enables efficient on-device AI solutions, reducing computational costs and enhancing performance for industries such as healthcare, automotive, and transportation.

Provides AI-powered solutions, including generative AI, quantum computing, and blockchain, to enable businesses in industries like healthcare, finance, and manufacturing to optimize operations, improve decision-making, and enhance security. By integrating advanced technologies such as computer vision, edge AI, and digital twins, it addresses challenges like inefficient processes, data silos, and complex problem-solving at scale.

Jiangxing AI offers a cloud‑edge AIoT platform that unifies IoT sensor data, AI video analytics, autonomous drones, and blockchain carbon accounting for power‑grid assets. The solution provides low‑latency edge inference, predictive maintenance, virtual power‑plant orchestration, and secure integration with SCADA/EMS systems, helping utilities and renewable operators improve asset availability and meet carbon‑reduction targets.

Aikaan Labs develops an application orchestration and device management system that enables IT and OT teams to remotely access, monitor, and upgrade IoT edge devices across various deployments. Their solution ensures maximum uptime and health monitoring of edge applications, addressing the challenges of managing distributed IoT networks in environments like smart cities and industrial IoT.

The startup develops smart IoT sensors that integrate embedded AI technology, system semiconductors, and edge computing algorithms for enhanced data processing. These sensors enable remote facility monitoring, providing clients with real-time insights into operational conditions and improving decision-making efficiency.