PingThings

Ping Things

Information Technology And Services, 641 S St Nw, , District of Columbia, Washington, 20001, United States, 1-10 Employees

pingthings.io

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phone no Phone Number: 20********

Who is PINGTHINGS

Creators of PredictiveGridTM platform. We bring predictive analytics and big data capabilities to the world of the SmartGrid. PingThings brings real-time big-data technology and an innova...

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  • 641 S St Nw, Washington, District of Columbia, 20001, United States Headquarters: 641 S St Nw, Washington, District of Columbia, 20001, United States
  • 2014 Date Founded: 2014
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies
  • Sean Murphy CEO:   Sean Murphy

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7389 | NAICS Code: 541990 | Show More

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PingThings Org Chart and Mapping

Sean Murphy

Chief Executive Officer

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Frequently Asked Questions Regarding PingThings

Answer: PingThings's headquarters are located at 641 S St Nw, , District of Columbia, Washington, 20001, United States

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

Answer: PingThings's official website is https://pingthings.io

Answer: PingThings's revenue is $1 Million to $5 Million

Answer: PingThings's SIC: 7389

Answer: PingThings's NAICS: 541990

Answer: PingThings has 1-10 employees

Answer: PingThings is in Information Technology and Services

Answer: PingThings contact info: Phone number: 20******** Website: https://pingthings.io

Answer: Creators of PredictiveGridTM platform. We bring predictive analytics and big data capabilities to the world of the SmartGrid. PingThings brings real-time big-data technology and an innovative solution to machine-learning for physical systems together to transform the management of the state of electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. PingThings' PredictiveGridTM technology is designed from the ground up with sensor analytics in mind, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors' high-resolution signals.

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