I O Teq
Industrial Automation, 8902 Fm 2920 Rd, Spring, Texas, 77379, United States, 11-50 Employees
Phone Number: +12*********
Who is IO-TEQ
Imagine a World Where Information could be Trusted. iO-TEQ develops industrial automation solutions that provide the ability to monitor, manage and react to data from critical equipment o...
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Headquarters: 8902 Fm 2920 Rd, Spring, Texas, 77379, United States
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Date Founded: 2016
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Employees: 11-50
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Revenue: $1 Million to $5 Million
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Active Tech Stack: See technologies
Industry: Industrial Automation
SIC Code: 7371
iO-TEQ Org Chart and Mapping
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Similar Companies to iO-TEQ
PF Holdings
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1001-5000
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$ 250 Million to 500 Million
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Frequently Asked Questions Regarding IO-TEQ
Answer: iO-TEQ's headquarters are located at 8902 Fm 2920 Rd, Spring, Texas, 77379, United States
Answer: iO-TEQ's phone number is +12*********
Answer: iO-TEQ's official website is https://iot-eq.com
Answer: iO-TEQ's revenue is $1 Million to $5 Million
Answer: iO-TEQ's SIC: 7371
Answer: iO-TEQ has 11-50 employees
Answer: iO-TEQ is in Industrial Automation
Answer: iO-TEQ top competitors include: PF Holdings
Answer: iO-TEQ contact info: Phone number: +12********* Website: https://iot-eq.com
Answer: Imagine a World Where Information could be Trusted. iO-TEQ develops industrial automation solutions that provide the ability to monitor, manage and react to data from critical equipment or other sources in remote or edge environments. The combination of failsafe hardware and analytics provides insights to help you improve building efficiency, reduce unplanned maintenance, and manage without onsite staffing. We go beyond pass-thru communication between the hub and customer by embedding local storage, reporting, and analytics into our devices. This provides a comprehensive view of information that can be used onsite or remotely to make key decisions based on the analysis of data. Our customers achieve higher ROI because they can easily consolidate data from multiple devices and sources, easily act on that data locally and also upload data to the cloud for larger scale analytics and machine learning.
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