Tignis

Tignis

Information Technology And Services, 701 N 36th St, Seattle, Washington, 98103, United States, 11-50 Employees

tignis.com

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Who is TIGNIS

Tignis offers a ready-to-use machine learning service to enable manufacturers and operators to continually improve physical assets and processes. Insights are provided in real-time so cha...

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  • 701 N 36th St, Seattle, Washington, 98103, United States Headquarters: 701 N 36th St, Seattle, Washington, 98103, United States
  • 2017 Date Founded: 2017
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $5 Million to $10 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7371

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Tignis Org Chart and Mapping

Employees

Eric Holzer

Director of Product Management

Alexander Fry

Machine Learning Engineer

Mario Faria

Director of Semiconductor Solutions

Jon Herlocker

Founder & President/Ceo

Adam Ashenfelter

Senior Machine Learning Engineer

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Frequently Asked Questions Regarding Tignis

Answer: Tignis's headquarters are located at 701 N 36th St, Seattle, Washington, 98103, United States

Answer: Tignis's phone number is 20********

Answer: Tignis's official website is https://tignis.com

Answer: Tignis's revenue is $5 Million to $10 Million

Answer: Tignis's SIC: 7371

Answer: Tignis has 11-50 employees

Answer: Tignis contact info: Phone number: 20******** Website: https://tignis.com

Answer: Tignis offers a ready-to-use machine learning service to enable manufacturers and operators to continually improve physical assets and processes. Insights are provided in real-time so changes can be made even while systems are in use. Our service enables you to quickly identify todays most critical issues, predict future problems before they occur and to optimize performance. Our customers do not need to build and maintain machine learning and specialized software teams. We offer Tignis as a service in the cloud or as an edge computing solution so customers can easily use machine learning and AI to identify anomalies and patterns and then take action to improve quality and throughput.

Answer:

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