|Supplier Slogan||The Next Big Thing is Here.||Invented for life||Bringing Vision to IIoT.|
|HQ Location||Israel||Korea||Germany||Canada||China||United States|
|Stock Ticker||KRX: 005930|
|Revenue||< $10m||> $10b||> $10b||< $10m||< $10m||< $10m|
|Employees||< 10||> 50,000||> 50,000||11 - 50||< 10||51 - 200|
|Website||Open website||Open website||Open website||Open website||Open website||Open website|
QSee – Automating Quality Predictive Analytics and help process manufacturer to predict and prevent defective products early in the process. Qsee 4.0 Quality Control delivers predictive insights for better quality and less downtime. An Israeli start-up developing cutting edge AI technologies that utilize state-of-the-art, proprietary, quality predictive/prescriptive analytics approach for the process of manufacturing quality-control space.
One of the world's largest semiconductor manufacturers, Samsung Electronics is also South Korea's top electronics company. It makes many kinds of consumer devices, semiconductors, and communications devices.
Bosch is an industry leader in automobile and industrial equipment, as well as consumer goods and building systems. Bosch operates via 440 subsidiaries in 60 countries; its core lines include mobility (auto) systems, from diesel/hybrid drive to steering, starter motors and generators, electronics, and brakes. Year founded: 1886 Revenue: $58.7 billion (2014) Portfolio Companies: - Bosch Software Innovations - Rexroth - Deepfield Robotics - Escrypt - ProSyst
Eigen Innovations provides solutions that combine the data being produced by traditional Operational Technology running within industrial environments with Information Technology that uses cloud-based computing and advanced Data Science. This convergence creates unique opportunities for significant process efficiency gains within industrial manufacturing. Year founded: 2012
Scinan IoT is fully dedicated to research, develop new hardwares, softwares and solutions for Internet of Things.
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
Machine learning software builds an AI model for each production machine/line by correlating Machine Data with quality outcomes (pass/fail or multiple-failure-states). The AI engine generates an exhaustive range of hypotheses based on every machine variable (and combinations thereof) and tests these hypotheses in order to determine which factors are causative/predictive of quality failure. Once the model is running, the software predicts in real time the product quality outcome (percentage likelihood of correct quality) for every production product/batch ahead of time.
Many areas of our lives have already been changed by the Internet of Things, and industry is no exception. By blending the real and the virtual worlds of production via the internet, the IoT makes it possible to connect all parts of the production process: machines, products, systems, and people. This means that machines and products can communicate so they can manage themselves and each other. Software-based system and service platforms will play a major role in tomorrow’s manufacturing; they are the only way to bring connectivity, including data analysis, to machines and workpieces in production. Bosch's software solutions for connected manufacturing and logistics gather, visualize, analyze, and monitor machine, process, and sensor data. They then translate this data into useful information that serves as a source for their rule- and process-based actions. The transparency this creates allows clients to determine precisely where to optimize production and logistics processes along the entire value chain.
Managing an industrial operation is a constant balance of applying the right level of technology and operational expertise on to the inputs, process, and outputs in order to achieve the best production with the highest efficiency. Eigen provides software solutions for the Industrial Internet. They have a patented multi-dimensional non-linear software algorithm that leverages ‛‛big data’’ information from industrial equipment and, based on the algorithm’s optimization capability, provides control input into the key devices that operate the manufacturing process. The end result is a more efficient manufacturing operation, with improved productivity, increased quality, and lower costs.
Scinan IoT has established a Cloud Computing platform can be seemlessly integrated with major IoT cloud platform in Chinese market. Scinan IoT also provide IoT solutions to enterprises and manufacuring companies to help them better integrating IoT solutions.
The Sight Machine Platform Sight Machine enables companies to gain real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise. Our analytics platform enables manufacturers to use all of their data―no matter where or in what format it’s created. We do this with an automated and systematic data intake process that acquires, refines, and contextualizes data, creating a digital twin of each part and process. Manufacturing Analytics Applications Unlocks the next level of Digital Manufacturing by delivering advanced analytics for improved productivity, quality, and supply chain optimization. Manufacturing Visibility Applications Real-time visibility of factory and machine performance from across your company delivered on an intelligent, secure, and scalable platform. FactoryTX Edge and FactoryTX Cloud FactoryTX Edge and FactoryTX Cloud help manufacturers rapidly deploy and extend Digital Manufacturing capabilities throughout their enterprise.
Process Manufacturering Companies
HP, Apple, Dell
John Deere, Suzuki, ThyssenKrupp Steel
IoT Snapshot: Hardware
|Processors & Boards|
|Sensors & Actuators|
IoT Snapshot: Software
|Software as a Service|
|Platform as a Service|
|Infrastructure as a Service|
IoT Snapshot: Service
|Construction & Buildings|
|Equipment & Machinery|
|Logistics & Warehousing|
|Use Cases||Predictive Maintenance||Process Control & Optimization||Process Control & OptimizationTrack & Trace of Assets|