Industrials / Manufacturing Tech
Best Manufacturing Analytics & AI Companies
What is Manufacturing Analytics & AI?
The manufacturing analytics & AI market is a rapidly growing industry that utilizes advanced analytics and artificial intelligence technologies to optimize manufacturing processes, improve efficiency, and reduce costs. This market offers a range of solutions such as predictive maintenance, quality control, supply chain optimization, and demand forecasting. These solutions enable manufacturers to make data-driven decisions, increase productivity, and enhance product quality. With the increasing adoption of Industry 4.0 technologies and the need for digital transformation in the manufacturing sector, the demand for manufacturing analytics & AI solutions is expected to continue to grow in the coming years. Investing in this market can provide companies with a competitive advantage and help them stay ahead of the curve in an increasingly technology-driven industry.
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Top Manufacturing Analytics & AI Companies
Seeq is an advanced analytics solution for process manufacturing and IIoT data sets. Seeq’s multiple applications empower engineers to collaborate, investigate and publish insights from data in manufacturing applications and historians. Analytics may be of any type, including diagnostic, monitoring, and predictive analytics to find insights that can be used to drive continuous improvements in key production and business metrics.
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Synergistics Digital Solutions, InduSoft, BKO Services, and 2 more
Known Customers
Saudi Aramco, IPCOS, Synergistics Digital Solutions, and 2 more
Key People
Steven Sliwa, Jon Peterson, Brian Parsonnet, and 2 more
Tulip provides frontline operations services to help improve the productivity of teams, the quality of output, and the efficiency of operations. It develops the Manufacturing App Platform, which combines industrial IoT and analytics for the front-line engineer and operator on the shop floor through self-service apps, allowing them to create digital manufacturing apps that integrate operator, sensor, and machine data; connect tools, machines, sensors, and backend IT systems with industrial IoT; and analyze and visualize production with analytics to implement changes and assist them to continuously improve. The company was founded in 2014 and is based in Somerville, Massachusetts.
Litmus provides an edge computing platform for the industrial internet of things (IoT). The platform provides solutions such as smart manufacturing, edge computing, machine learning, predictive maintenance, condition-based monitoring, and more. The company was founded in 2014 and is based in Santa Clara, California.
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Arundo delivers tailored, scalable, advanced analytics solutions to meet customers’ business needs. The company software allows industrial companies and other organizations to increase revenue, reduce costs and mitigate risks through machine learning and other analytical solutions that connect industrial data to advanced models and connect model insights to business decisions. It was founded in 2015 and is based in Oslo, Norway.
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DataProphet specializes in optimizing the manufacturing processes of key industrial verticals with machine learning. Its solutions enable manufacturers to augment their data infrastructure and bring data from where they’ve been using it for compliance in the manufacturing space to a point where they can use it for optimization. The firm was founded in 2014 and is based in Cape Town, South Africa.
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Drishti Technologies provides action recognition and AI innovations that automatically digitize human actions inside the factory to create a new dataset that enables digital transformation for manufacturers while simultaneously making line workers more competitive against automation.
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Fero is an industrial machine-learning platform. It supports a wide range of application areas and sectors and brings artificial intelligence and machine learning methods in a convenient package to the factory floor. It was founded in 2016 and is based in New York, New York.
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Nstream enables organizations to build open-source, full-stack applications directly on top of streaming data, providing real-time insights that organizations can take action on instantly. It was formerly known as Swim. It was founded in 2015 and is based in Campbell, California.
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Parsable provides an enterprise software-as-a-service (SaaS) solution. It replaces legacy manufacturing productivity tools with mobile and web-based systems. It was formerly known as Wearable Intelligence. It was founded in 2013 and is based in San Francisco, California.
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Raven is an artificial intelligence company for manufacturing. Raven developed an augmented industrial management platform for manufacturers. Raven uses mobile hardware, software, and cloud-based analytics driven by artificial intelligence to massively improve manufacturers' profitability with no change to the number of people and machines. Raven was founded in 2013 and is based in Ottawa, Canada.
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ThinkIQ develops a supply chain management cloud-based software for the manufacturing industry. It's fact-based granular and data-centric contextualized view of material flows and related provenance attribute data integrates into existing IoT infrastructures and crosses supply chains to manufacturing processes and beyond. ThinkIQ was founded in 2015 and is based in Aliso Viejo, California.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Manufacturing Analytics & AI?
The manufacturing analytics & AI market is a rapidly growing industry that utilizes advanced analytics and artificial intelligence technologies to optimize manufacturing processes, improve efficiency, and reduce costs. This market offers a range of solutions such as predictive maintenance, quality control, supply chain optimization, and demand forecasting. These solutions enable manufacturers to make data-driven decisions, increase productivity, and enhance product quality. With the increasing adoption of Industry 4.0 technologies and the need for digital transformation in the manufacturing sector, the demand for manufacturing analytics & AI solutions is expected to continue to grow in the coming years. Investing in this market can provide companies with a competitive advantage and help them stay ahead of the curve in an increasingly technology-driven industry.
Expert Collections
Market Map
Similar Markets
Do you compete within Manufacturing Analytics & AI?
Reach more buyers.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.