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Singapore, Singapore
11-50 Employees
Meyvnsystems is a Singapore based fabless semiconductor design,consulting and analytics company specialised in advanced SoC design, energy-efficient RF, Analog, Mixed. Meyvnsystems is a unique outfit that helps semiconductor companies achieve their goals in terms of products and solutions. At Meyvnsystems, you will have a trusted partner who will go miles for your success. Meyvnsystems engages with clients in providing predictive analytics to uncover data patterns, gain predictive accuracy and improve decision making. Meyvnsystems engages with clients in delivering on the digital transformation and offers the cloud technology expertise and resources. Unlike other companies that do everything and anything we focus only in the semiconductor industry. Our pursuit of excellence is a constant one and we always strive to give the best to our customers and we know what it takes to deliver. We believe in total solutions and our expertise and subject knowledge gives us an edge over others.
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5G, EDGE COMPUTING
... 5G & Edge Computing | ...
United States
1-10 Employees
2009
Remote Industrial Sites present unique challenges to operate efficiently and effectively, for example, construction sites, oil rigs, unmanned industrial stations, industrial farms, and weather monitoring stations. The utility power source is either non-existent or available at a premium, WiFi is... The PKI (Public Key Infrastructure) uses a pair of keys, that consists of a public key and a private key, to implement secure communication and authentication. Mobile Edge Computing (MEC) refers to co-location of cloud computing at the edge of mobile access network. The benefits of MEC include, ultra low latency, high bandwidth, rich user ...
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Industrial IoT Edge and Cloud Computing Solutions within reach...
... Industrial IoT Edge and Cloud Computing Solutions within reach ...
Seattle, United States
1-10 Employees
2021
At AIWaysion, we develop next-generation Connected Vehicle technology and provide Smart Mobility Solutions using Artificial Intelligence (AI) and Edge Computing technologies for safer and more efficient transportation. AIWaysion is a University of Washington spin-off, founded by Dr. Yinhai Wang is a professor in transportation engineering and the founding director of the Smart Transportation Applications and Research Lab (STAR Lab) at the University of Washington.
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About | AIWaysion
... Learn more about AIwayison and our team of experts in AI and Edge Computing. Discover how our innovative platform is transforming businesses worldwide. ...
Vancouver, Canada
1-10 Employees
2021
Green Edge Computing Corp was founded on the vision that the world needs a better way to capture, process, analyze and store data. The GECCO EdgePod™ offers flexible data interfaces, blisteringly fast local server class processing, solid state data storage, and the ability to carry out low-latency analysis for immediate decision making and control algorithms that improve your business resilience. Compared to the raw resources to build and ongoing carbon footprint needed to operate conventional private, hybrid and public cloud data centers — and for the associated networking to these centers — locally deployed EdgePods have a much lower environmental footprint, require no special power or cooling infrastructure, and offer a dramatically lower total cost of ownership. GECCO’s mission is to enable digital transformation with a revolutionary Edge Computing Appliance that brings together data processing, data management, and networking for edge-optimized workloads in adverse operational environments. Manufacturing facilities, resource mining and refining, chemicals processing, pipeline, warehousing, water and wastewater facilities, and many other industrial processes demand increasingly complex processing software. The EdgePod is the ideal platform for visualizing digital twins, consolidating and analyzing IIoT (Industrial Internet of Things) data streams, enabling fast response to AI inferences, ensuring condition-based preventive maintenance, and providing low-latency supervisory control. Small size and low weight of the EdgePod optimizes payload for space bound missions; low power and heat loads increases usability for many data processing needs. Supports sensor data analysis, scales to changing needs, and offers cross-purpose modular reusability in orbital and lunar deployments.
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A compact, low-power, modular platform for intense edge computing applications.
... A compact, low-power, modular platform for intense edge computing applications. ...
Israel
11-50 Employees
2008
Saguna MEC Starter kit provides a fast & simple way to kick off your edge computing initiative. As we move closer to the 5G implementation, telecom service providers have two options: non-standalone (NSA) and standalone (SA) 5G.
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5G EDGE CLOUD COMPUTING
... Saguna, the Multi access Edge Cloud Computing pioneer, helps communication companies monetize, optimize & accelerate their networks. ...
Las Vegas, United States
1-10 Employees
2015
Sudeep has extensive experience in marketing, product development and people management. Over 20 years of experience in the data, research and insights industry. Sumit has helped conglomerates drive consumer engagement, product development, data collaboration and thought leadership. Over 18 years of IT product engineering experience managing products and people. Saroj has successfully delivered business-led technology solutions across banking and financial services industries. Over 20 years of managing customer success and processes across manufacturing, retail and advertising industries. Over 22 years of experience in silicon design, hardware and OS security, Computer Architecture, Operating System Internals, Side-Channel Analysis, VLSI, FPGAs. Over 34 years of experience in data industrialization, product architecture, enterprise systems, program management, strategy consulting for the Fortune 500.
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Edge Computing and Computer Vision
... is an enterprise technology company that develops edge computing hardware and machine learning algorithms to acquire verifiable data from the real-world. We provide ready-to-deploy hardware and software to the outdoor advertising industry to enable measurable and verifiable ...
Geneva, Switzerland
11-50 Employees
2007
We are software artisans, passionate about craftsmanship, DevOps and all the rigour required to build efficient and dependable software products and services. Following the acquisition of SixSq by Ekinops in November 2021, SixSq is now an Ekinops Company. The SixSq Nuvla edge computing software and services were selected to form the basis of the edge-to-cloud software infrastructure required to build the different project demonstrators, in an agile and incremental way. SixSq’s edge-to-cloud Nuvla and NuvleEdge software enabled the creation of a federated data exploitation platform, demonstrated at ESA with the UbiSAP project. The company provides the edge-to-cloud management platform Nuvla.io, which allows companies and institutions to deploy a secure and comprehensive edge and cloud strategy, while avoiding lock-in. Think of NuvlaEdge as the Linux or Windows of edge devices (in fact, it is based on Linux). Nuvla.io also provides a private app store, with the same convenience as the Apple App Store, but for deploying apps at the edge and in the cloud. We believe Nuvla.io will accelerate AI deployment at the edge and take away management complexity, while giving you full control over your data.
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Leader in edge computing B2B platform as a service
... Subscribe to our email newsletter to keep up to date with edge computing news and events. ...
Augsburg, Germany
1-10 Employees
2002
Als "ELITE-Partner" von APC by Schneider bieten wir Ihnen die führenden Lösungen rund um USV und RZ-Infrastruktur.
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Datacenter und Edge Computing
... Ob Datacenter oder Edge Computing - EcoStruxure IT hilft beim Management. Hersteller-neutral, On-Premise oder Cloud-basiert. ...
11-50 Employees
1982
The Optra platform was created by Lexmark – a provider of innovative IoT and cloud-enabled imaging technologies that help customers in more than 170 countries worldwide achieve their vision of print simplicity, security, savings and sustainability. Optra Edge is a first of its kind integrated hardware and software platform for rapidly deploying edge AI applications securely and at scale. While Optra Edge has been designed for any business case, we have curated skills and product offerings geared towards specific industries to kickstart your AI journey. As a manufacturer and early adopter of IoT connectivity and IoT data analytics to drive business outcomes, we know how complex remote application deployment is. Built on a powerful combination of advanced technology, deep industry expertise and exceptional customer engagement, we help eliminate IT burden, enable digital transformation and drive savings and flexibility in retail, financial services, healthcare, manufacturing, education, government and more. Our Edge Computing experts are here to provide personalized consulting, custom hardware and firmware development, security consultation, remote device management and more. Revolutionizing the way manufacturing is managed and executed. By deploying computational power and data collection closer to the production line, edge computing enables real-time data analysis and decision-making.
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Edge Computing Services - Optra Edge
... Edge Computing Services - Optra Edge ...
London, United Kingdom
11-50 Employees
2006
We provide actionable insights and practical guidance on emerging challenges and opportunities, with a focus on innovation and identifying new sources of growth. We are driven by results: our mission is to design and drive change that makes our telecoms, digital infrastructure, and technology clients even more competitive. Bringing together senior executives, leaders and experts from telecoms and adjacent industries, our events draw on the newest STL Partners research and conversations. We drive genuinely useful discussions and stimulate thinking that can improve strategy and delivery for your business. We try to keep the sessions interactive and offer new data, use cases or real-world examples so you see the practice not just the theory. All our webinars can be adapted and delivered in-house to your own teams, nationally and internationally. We focus on how telcos and their partners can create value in a challenging market.
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Telco edge computing: Turning vision into practice
... Report covering the challenges telecom operators face to take advantage of edge computing opportunities and how they can overcome these to succeed. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Edge Computing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 943 |
| Amount of suitable service providers | 677 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1982 |
| Youngest suiting company | 2021 |
Edge computing refers to a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. Unlike traditional cloud computing architectures that centralize data processing in large data centers, edge computing processes data at or near the source of data generation. This approach minimizes latency, which is critical for real-time applications such as autonomous vehicles, Internet of Things (IoT) devices, and mobile computing. By processing data locally, edge computing also enhances data security and privacy, as sensitive information does not have to traverse the internet or other networks to reach a central server. Furthermore, it significantly reduces the dependency on a centralized infrastructure, offering a more resilient and reliable computing environment. This is particularly advantageous in scenarios where connectivity to a central data center is compromised or unavailable. Edge computing's role in supporting the exponential growth of IoT devices and applications is pivotal. It enables smarter cities, industrial automation, and advanced healthcare solutions by providing the computational power needed at the edge of the network, where it is most needed. As a result, edge computing is transforming data processing methodologies across various sectors, driving efficiency and enabling new technological advancements.
1. Reduced Latency
Edge computing processes data closer to where it's generated, significantly decreasing the time it takes for devices to communicate with servers. This reduction in latency ensures faster response times for applications that require real-time processing, making it ideal for industries like healthcare and manufacturing where milliseconds can make a difference.
2. Bandwidth Savings
By analyzing and processing data locally, only relevant information is sent to the central data center or cloud. This approach minimizes the amount of data that needs to travel over the network, conserving bandwidth and reducing associated costs. It's particularly beneficial in settings with limited connectivity or where transmitting large volumes of data is costly.
3. Enhanced Security
Edge computing can offer improved security compared to traditional cloud computing. Processing data locally limits the exposure of sensitive information to potential cyber threats during transmission. Additionally, it enables more robust security protocols at the edge, where data can be encrypted and analyzed for threats in real-time.
4. Increased Scalability
Deploying edge computing infrastructure allows organizations to scale their operations more flexibly. Instead of overhauling central servers, additional edge devices can be seamlessly integrated into the existing network. This modularity supports growth and ensures the system can adapt to increasing data processing demands.
While evaluating the different suppliers make sure to check the following criteria:
1. Technical Expertise and Support
Ensure the supplier has proven expertise in edge computing technologies and can provide comprehensive support for deployment and troubleshooting.
2. Scalability and Flexibility
The supplier's solutions should be scalable to grow with your needs and flexible enough to adapt to different use cases and environments.
3. Security Features
Critical for protecting data at the edge, the supplier must offer robust security features and protocols to safeguard your information.
4. Integration Capabilities
Look for suppliers that offer seamless integration with existing IT infrastructure and third-party applications to maximize efficiency.
5. Reliability and Uptime
Choose suppliers with a track record of high reliability and uptime guarantees to ensure continuous operation of edge computing devices and applications.
6. Cost-effectiveness
While not compromising on quality, the supplier's solutions should offer a good balance of cost and performance, providing value for your investment.
Edge computing has revolutionized how businesses operate across various industries by enabling faster, more reliable data processing at or near the source of data generation. One significant use case is in manufacturing, where edge computing facilitates real-time monitoring and analysis of production lines. This capability allows for immediate adjustments to improve efficiency and reduce downtime, making the manufacturing process smarter and more agile. In the realm of healthcare, edge computing plays a crucial role in telemedicine and patient monitoring systems. By processing data locally, healthcare providers can deliver faster and more accurate diagnoses, enhancing patient care. This technology ensures that critical patient data can be analyzed in real-time, enabling swift medical interventions when necessary. The retail industry benefits from edge computing through enhanced customer experiences. By processing data on-site, retailers can offer personalized shopping experiences, manage inventory more effectively, and streamline operations. This localized data processing capability allows for immediate insights into consumer behavior, enabling retailers to adjust their strategies promptly. Furthermore, in smart cities, edge computing supports various applications, including traffic management and public safety. By analyzing data from sensors and cameras in real-time, municipalities can optimize traffic flow, reduce congestion, and enhance public safety measures, showcasing edge computing's versatility and impact across multiple sectors.
Edge computing, as a technological paradigm, has ascended to a high Technology Readiness Level (TRL), approximately TRL 8, where it is considered to be in the system test, launch, and operations phase. This advanced TRL is attributed to the substantial development and deployment of edge computing systems across various industries, including manufacturing, healthcare, and telecommunications. The technical underpinnings for this classification stem from edge computing's ability to process data closer to the source of data generation, thereby reducing latency, enhancing data processing speeds, and improving bandwidth usage efficiency. These capabilities are facilitated by the widespread availability of advanced microprocessors and high-speed networking technologies, which have matured to support the decentralized computing architecture that edge computing epitomizes. Furthermore, the integration of artificial intelligence and machine learning algorithms at the edge has proven to be effective in real-world applications, further evidencing the technology's readiness. Despite its high TRL, continuous improvements in security protocols, energy efficiency, and interoperability standards are still underway, indicating that edge computing is evolving within this maturity level. This evolution underscores the dynamic nature of technological advancement, where even at advanced stages, innovations continue to refine and enhance the system's capabilities and performance.
In the Short-Term, edge computing is set to witness significant enhancements in processing power and miniaturization of hardware. This phase will see a proliferation of edge devices capable of performing complex computations locally, reducing latency, and improving efficiency in data processing. Advances in AI and machine learning algorithms will be crucial, enabling smarter and more autonomous decision-making at the edge. The integration of 5G technology will further amplify these benefits, offering faster connectivity and enabling real-time analytics for applications such as autonomous vehicles and smart cities. The Mid-Term development phase of edge computing will focus on increased interoperability and security advancements. As edge computing becomes more widespread, creating seamless communication between a multitude of devices and platforms will be paramount. This period will witness the emergence of standardized protocols and APIs facilitating easier data exchange and integration across different networks and systems. Security will also take center stage, with the development of more robust encryption methods and distributed ledger technologies like blockchain to safeguard data integrity and privacy in increasingly complex edge computing ecosystems. Looking into the Long-Term, edge computing is poised to become the backbone of the Internet of Things (IoT), supporting the exponential growth of connected devices. The evolution towards fully autonomous systems will be enabled by breakthroughs in edge AI, allowing devices to learn and adapt to their environments with minimal human intervention. Energy efficiency will also see dramatic improvements, with the development of new, low-power computing technologies that make it feasible to deploy edge computing solutions in even the most remote and challenging environments. This era will unlock new possibilities in smart infrastructure, healthcare, and environmental monitoring, marking a new frontier in how we interact with and leverage technology in our daily lives.
