Veros Systems

Overview
HQ Location
United States
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Year Founded
2001
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Company Type
Private
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Revenue
< $10m
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Employees
11 - 50
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Website
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Company Description
Veros Systems is an industrial asset monitoring company based in Austin, Texas. Our flagship product, Veros ForeSight™, provides a dashboard with real-time operating metrics and clear, early warnings about impending equipment failures, with zero false alarms.
Engineering and maintenance managers rely on ForeSight to quickly and easily know how their equipment is operating, identify poorly performing assets and be alerted to problems months in advance, so they can plan and take action. This results in less unplanned downtime, reduced exposure to safety and environmental incidents, and improved efficiency, while minimizing spare parts cost and time spent on maintenance.
Engineering and maintenance managers rely on ForeSight to quickly and easily know how their equipment is operating, identify poorly performing assets and be alerted to problems months in advance, so they can plan and take action. This results in less unplanned downtime, reduced exposure to safety and environmental incidents, and improved efficiency, while minimizing spare parts cost and time spent on maintenance.
IoT Snapshot
[Vendor_Name] is active in the automotive, buildings, chemicals, metals, oil and gas, paper and pulp, and utilities industries.
Use Cases
Industries
Technology Stack
Veros Systems’s Technology Stack maps Veros Systems’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.

Case Study
Compression Facility Industrial Asset Monitoring Solution
After spending millions on an enhanced oil recovery (EOR) infrastructure, including CO2, compressors, pipelines, injection wellheads, and fluid separators, Chaparral began to see its long-term investment pay off as oil production increased. However, when a CO2 compressor fails, CO2 volumes to the pipeline plummet by 50% or more. The operator needed predictive intelligence to prevent such an event.

Case Study
Planned Maintenance for Power Generating Company
Having no unplanned outages in multi-unit power plants throughout the late spring, the summer and the early fall months is challenging in the hot Texas weather. An unplanned outage during these months could mean having to purchase replacement power at spot market prices, which could be spiking during the outage. Knowing when and for how long to overload the equipment in power plants is a significant part of operating strategy. Operators need accurate estimates of motor driven pump and fan loading levels to determine operating limits.
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