Telemetry Insight

Telemetry Insight

Information Technology And Services, 2420 Comanche Rd Ne, Albuquerque, New Mexico, 45370, United States, 1-10 Employees

telemetryinsight.com

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Who is TELEMETRY INSIGHT

Telemetry Insight is a data analytics company with a focus on the energy industry. We are a new startup in Albuquerque, New Mexico developing a rich data set of high resolution pumpjack m...

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  • 2420 Comanche Rd Ne, Albuquerque, New Mexico, 45370, United States Headquarters: 2420 Comanche Rd Ne, Albuquerque, New Mexico, 45370, United States
  • 2022 Date Founded: 2022
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: $50 Million to $100 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7374 | NAICS Code: 518210 | Show More

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Telemetry Insight Org Chart and Mapping

Employees

Cliff Lewis

Chief Technology Officer

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Frequently Asked Questions Regarding Telemetry Insight

Answer: Telemetry Insight's headquarters are located at 2420 Comanche Rd Ne, Albuquerque, New Mexico, 45370, United States

Answer: Telemetry Insight's phone number is +12*********

Answer: Telemetry Insight's official website is https://telemetryinsight.com

Answer: Telemetry Insight's revenue is $50 Million to $100 Million

Answer: Telemetry Insight's SIC: 7374

Answer: Telemetry Insight's NAICS: 518210

Answer: Telemetry Insight has 1-10 employees

Answer: Telemetry Insight is in Information Technology and Services

Answer: Telemetry Insight contact info: Phone number: +12********* Website: https://telemetryinsight.com

Answer: Telemetry Insight is a data analytics company with a focus on the energy industry. We are a new startup in Albuquerque, New Mexico developing a rich data set of high resolution pumpjack motion and performance data while providing actionable pump operational information. The company has released its first product, Wellwatcher, that it currently manufactures in-house. Data is measured and distributed via proprietary software- both to the customer and for machine learning towards future use in the energy industry.

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