IndustrialML

Industrial Ml

Industrial Automation, Cambridge Ma Us, Cambridge, Massachusetts, 02138, United States, 1-10 Employees

industrialml.com

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Who is INDUSTRIALML

IndustrialML is an award-winning enterprise software company serving industrial customers. We build the tools required to keep your production lines running. To maximize uptime and reduce...

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  • Cambridge Ma 02138 Us, Cambridge, Massachusetts, 02138, United States Headquarters: Cambridge Ma 02138 Us, Cambridge, Massachusetts, 02138, United States
  • 2018 Date Founded: 2018
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

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IndustrialML Org Chart and Mapping

Employees

Adam Nathan

Advisory Board Member

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Frequently Asked Questions Regarding IndustrialML

Answer: IndustrialML's headquarters are located at Cambridge Ma Us, Cambridge, Massachusetts, 02138, United States

Answer: IndustrialML's official website is https://industrialml.com

Answer: IndustrialML's revenue is Under $1 Million

Answer: IndustrialML has 1-10 employees

Answer: IndustrialML is in Industrial Automation

Answer: IndustrialML contact info: Phone number: Website: https://industrialml.com

Answer: IndustrialML is an award-winning enterprise software company serving industrial customers. We build the tools required to keep your production lines running. To maximize uptime and reduce scrap, factory operators must know in real time when and where errors occur. However, industries reliant on visual inspection and legacy controllers remain underserved by IIoT platforms. Existing industrial data platforms cannot integrate the latest advances in machine vision and streaming data analytics, and most analysis tools are designed for use by specialists like data scientists. The IndustrialML platform bridges data from multiple disparate sources, enabling deeper context into production status. We integrate real time monitoring, machine vision, and advanced analytics applications to deliver actionable insights to operators and engineers. We make factories smarter with machine learning.

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