Seeq
Overview
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HQ Location
United States
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Year Founded
2013
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Company Type
Private
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Revenue
< $10m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Seeq Corporation develops software and services that accelerate
industrial process analytics on industrial process data.
Seeq's sophisticated yet easy-to-use analysis tools are applicable for
industrial markets like oil refineries, pharmaceuticals, and energy
production.
industrial process analytics on industrial process data.
Seeq's sophisticated yet easy-to-use analysis tools are applicable for
industrial markets like oil refineries, pharmaceuticals, and energy
production.
IoT Solutions
Industrial process data is the collection of time-series data, events,
and signals, as well as related contextual data, generated by production
and manufacturing organizations. Due to the high volume, velocity, and
variety of these Data Streams, industrial process data typically
requires extensive manipulation to enable insight and analytics.
and signals, as well as related contextual data, generated by production
and manufacturing organizations. Due to the high volume, velocity, and
variety of these Data Streams, industrial process data typically
requires extensive manipulation to enable insight and analytics.
IoT Snapshot
Seeq is a provider of Industrial IoT analytics and modeling technologies, and also active in the chemicals, food and beverage, metals, mining, oil and gas, paper and pulp, pharmaceuticals, and utilities industries.
Technologies
Functional Areas
Industries
Technology Stack
Seeq’s Technology Stack maps Seeq’s participation in the analytics and modeling 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
Heat Exchanger Monitoring and End of Cycle Prediction
Predicting end-of-cycle (EOC) for a heat exchanger due to fouling is a constant challenge faced by refineries. Proactively predicting when a heat exchanger needs to be cleaned enables risk-based maintenance planning and optimization of processing rates, operating costs, and maintenance costs. Before using Seeq, the engineer had to manually combine data entries in a spreadsheet and spend hours/days formatting and filtering the content or removing non-relevant data when necessary (for example when equipment was out-of-service).
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