Sight Machine
Overview
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HQ Location
United States
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Year Founded
2012
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Company Type
Private
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Revenue
< $10m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
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.
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.
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.
IoT Snapshot
Sight Machine is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the automotive, chemicals, food and beverage, glass, and packaging industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Sight Machine’s Technology Stack maps Sight Machine’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Digital Twin in Dairy Production
Manufacturers must cultivate the cheese like artisans but do so in enormous batches—thus the need for production know-how. Mass producing cheese requires machinery and elaborate processing plants that are difficult to manage. To better understand their operations, dairy companies are increasingly turning to data analytics.Chemists and engineers at the dairy plant were running into bottlenecks, especially in terms of:-The blend of protein and fat in the raw materials-The temperature of the batches coming out of the upstream cookers-The pH of output from the upstream fermentation process
Case Study
Digital Transformation of Essex Furukawa with Sight Machine
Essex Furukawa, the world’s largest manufacturer of magnet wire/winding wire, faced a significant increase in demand due to the rapid shift of global automakers towards electric power. The company needed to maintain its market leadership by increasing throughput and uptime while delivering high-quality products. The challenge was to meet the growing demands without compromising the quality of their products. The magnet wire they produce for electric vehicle motors must meet exacting standards to withstand years of severe stress, including high heat, high electrical current, and fast switching frequencies. Essex Furukawa leadership recognized the need for a digital transformation of their manufacturing plants to collect and analyze production data for predictive maintenance and continuous operational optimization.
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