ABOUT SEEQ CORPORATION

Seeq® is an advanced analytics solution for process manufacturing data that enables organizations to rapidly investigate and share insights from data in historians, IIoT platforms, and database web services—as well as contextual data in manufacturing and business systems. Seeq’s extensive support for time series data and its inherent challenges enables organizations to derive more value from data already collected by accelerating analytics, publishing, and decision making. With diagnostic, monitoring, and predictive analytics powered by innovations in big data and machine learning technologies, Seeq’s advanced analytics solutions help organizations turn data into insights to drive process improvement and increase profitability. 

 
5 Questions To Ask Before Selecting A Process Data Analytics Solution   Leveraging Predictive Analytics: A Case Study    

5 Questions To Ask Before Selecting A Process Data Analytics Solution

 

Leveraging Predictive Analytics: A Case Study

 

 

FEATURED PRODUCTS

Organizer is Seeq’s application for engineers and managers to assemble and distribute Seeq analyses as reports, dashboards, and web pages.

Workbench is Seeq’s application for engineers engaged in diagnostic, descriptive, and predictive analytics with process manufacturing data.

CONTACT INFORMATION

Seeq Corporation

1301 2nd Avenue Suite 2850

Seattle, WA 98101

UNITED STATES

Phone: 206-801-9339

Contact: Jennifer Bentzel

SEEQ SOCIAL MEDIA

        

FEATURED ARTICLES

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announced today that the company’s board of directors has appointed former chief operating officer Dr. Lisa J. Graham, PE as chief executive officer, effective immediately. Former CEO and co-founder Steve Sliwa will remain at Seeq in an advisory role as vice chairman and co-founder. Seeq also appointed Ashley Kramer to the company’s board of directors.

  • Having properly sized, configured, and maintained pumps is important for running an efficient water distribution system. But pump performance analytics are equally important for saving money through optimized treatment plant and distribution system operations. Here is how one utility is using real-time analytics to manage in-plant operations as well as the long-distance relationship between its remote water treatment facility and city distribution system.

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things advanced analytics software, announced today additional integration support for Microsoft Azure Machine Learning. This new Seeq Azure Add-on, announced at Microsoft Ignite 2021, an annual conference for developers and IT professionals hosted by Microsoft, enables process manufacturing organizations to deploy machine learning models from Azure Machine Learning as Add-ons in Seeq Workbench. The result is machine learning algorithms and innovations developed by IT departments can be operationalized so frontline OT employees can enhance their decision making and improve production, sustainability indicators, and business outcomes.

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announces the expansion of its efforts to integrate machine learning algorithms into Seeq applications. These improvements will enable organizations to operationalize their data science investments, and their open source and third-party machine learning algorithms, for easy access by front-line employees.

  • Across water and wastewater organizations, engineering decisions are too often made based on subjective judgements. Considering how inexpensive and easy modern automation makes it to generate and collect massive amounts of process data, the propensity to make decisions by gut feel may seem far-fetched to a bystander. For plant personnel, however, the struggle to improve upon instinct is often all too real.

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, today announces the launch of a new program, the Seeq SaaS Workshop.

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announces the release of R52 with new features to support the use of machine learning innovation in process manufacturing organizations.

  • Learn how to leverage data to implement proactive approaches to manufacturing issues through the use of predictive analytics.

  • Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announced today it has closed a $50 million Series C funding round, led by global venture capital and private equity firm Insight Partners. The round includes participation from existing investors Altira Group, Chevron Technology Ventures, Cisco Investments, Saudi Aramco Energy Ventures, and Second Avenue Partners. This round brings Seeq’s total funding since inception to approximately $115 million.

  • Manufacturing sites can have hundreds, or even thousands, of automatic controllers, but most sites don’t have insight into how these controllers are actually performing. 

  • Seeq Corporation, a leader in manufacturing and industrial internet of things (IIoT) advanced analytics software, announces a new packaging of Seeq features and applications as Seeq Team and Seeq Enterprise editions.

  • Valves are one of the most common assets in the process industry, spanning all verticals. Chemicals, refineries, and petrochemicals, however, will find improved valve health diagnostics useful for critical valves and controllers in their plants, while upstream and midstream oil and gas companies may be focused on much larger, critical valves like pipeline or subsea valves. Using Seeq, process manufacturers are able to implement a condition-based monitoring analysis to monitor valve health across an entire fleet. Engineers can utilize the historical data to accurately create a predictive maintenance forecast and preemptively detect valve failures before they occur.

  • How Seeq allows navigation to past production runs to find past production settings and visibility into the relationship between the production settings and key process KPIs, like quality or production rate.

  • In process industries such as oil and gas, pharmaceutical and chemical, it is essential to maintain and prolong the lifetime of critical assets including pumps, valves, heat exchangers and compressors. Process companies need better insight into the condition of pumps and other assets. The goal is to gain a clearer understanding of when pumps are not operating efficiently–and the root cause of the degraded performance–instead of waiting until there is a catastrophic failure. Optimizing asset maintenance saves time and money.

  • All manufacturing industries suffer a variety of different performance losses including production losses, product quality losses, energy losses, raw materials losses, environmental/regulatory losses and others. These losses can negatively impact profitability, environmental stewardship, and even license to operate. A manufacturer needed a way to gain insight into the leading causes of production losses, finding those times when equipment was not running at capacity and categorizing the loss by reason. 

  • At manufacturing operations using ultrafiltration systems, the ultrafiltration membranes are used for numerous batches without replacement, using Clean-In-Place (CIP) operations in between batches to maintain filter performance. However, ineffective CIP cycles or long-term fouling or degradation of the filter membrane can result in increased cycle times to move the desired amount of product through the filter, lost yield as the product is unable to permeate the filter, or poor product quality as membrane failure may occur.

  • Highly-efficient and improved facility operations require the management of chemical and energy usage to ensure that both air and water quality meet goals while minimizing cost. It can be difficult to attain this level of productivity within a comfortable working environment while avoiding the excessive use of chemicals and energy. Excess chemical use and energy consumption mean reduced profits. Solutions are necessary to allow for maximum operation efficiency.

  • In order to raise efficiency and production standards, it is important to be able to analyze the performance of batch processes and identify time spent in each of the different process phases. Increased visibility into unproductive process time (for example during cleaning and maintenance and shift v shift differences in manual re-cleaning events) is necessary in order to enable users to take actions to reduce them. With the ability to increase production opportunities when reducing waiting times, overall profitability can also increase. 

  • Engineers and subject matter experts within operations settings are tasked with driving operational excellence to improve quality, safety, and throughput in production operations. As an IT professional, supporting these efforts is imperative as operations leaders grapple to get the most out of investments in technologies that generate and use large volumes of data.

  • Seeq Corporation, a leader in manufacturing and industrial internet of things (IIoT) advanced analytics software, and an AWS Industry Software Competency Partner, announces expanded support for Amazon Web Services cloud services.

  • Seeq Corporation, a leader in manufacturing and industrial internet of things (IIoT) advanced analytics software, and 2020 Microsoft Partner of the Year Award finalist (Energy), announces expanded support for Microsoft Cloud services.

  • Seeq Corporation, a leader in manufacturing and industrial internet of things (IIoT) advanced analytics software, today announced it has been named a finalist for the Energy 2020 Microsoft Partner of the Year Award.

  • Despite the availability of advanced software, spreadsheets are still the default data analytics tool for operations managers at many municipal water systems and water distribution companies. However, an investment in analytics technology can pay for itself quickly by providing a relatively easy method to extract process data from various sources and then by performing an analysis to provide answers to previously difficult questions.

  • Seeq Corporation is pleased to announce it is the winner of the Advanced Analytics for Process Manufacturing Data category award for Control Engineering 2020 Engineers’ Choice Awards program.

  • Advanced analytics is a key innovation for digital transformation. While many industrial companies are rolling out pilots and enterprise analytics projects, it is important for users to understand the features and capabilities of the analytics offerings.

  • Seeq Corporation, advanced analytics applications for process manufacturing data, announced today it has achieved Amazon Web Services (AWS) Industrial Software Competency status.

  • A municipal water utility follows a straightforward method for providing clean water to its residents: It pulls water out of a nearby river, filters out the impurities, and then funnels the water into a reservoir to be ready when residents turn on their taps. The water provider needed to improve sand filter consistency and boost performance of its overall fleet of filters in its water treatment plant. To do this, it needed to identify and monitor for poor filter performance while prioritizing filter maintenance.

  • Multi-phase flow meters are important for well surveillance and production allocation where there is multiple ownership. It is therefore important to track the accuracy of multi-phase flow meters, identify issues and ensure rapid corrective action. Read more to learn how the Seeq tools were used to analyze and monitor performance.

  • Amitec, a leading system integrator in Norway, and Seeq, a provider of advanced analytics solutions, will jointly exhibit at the Ignite conference on June 12-13 in Oslo.

  • Water industry managers are caught in a squeeze. On one hand, they need to capture institutional knowledge from long-term baby boomer employees before they retire. At the same time, they need to manage current operations optimally and attract and train next-generation replacements. Here is how advanced analytics solutions are making it easier to achieve all those goals while improving business outcomes.

  • Efficiently managing potable water treatment and distribution or wastewater collection and treatment involves many moving components, not the least of which are cost implications. If only there was a way to quantify and analyze those factors to leverage them for better decision-making. There are, and they reach far beyond tactical treatment plant adjustments, all the way up to strategic decisions as well.

  • With the proliferation of new sensors and Industrial Internet of Things (IIoT) initiatives now feeding SCADA systems, water industry managers lament how they are drowning in a sea of data yet starving for insights that really matter. With concepts like data democratization starting to bear fruit, advanced analytical capabilities are creating new opportunities for water insights without requiring a degree in computer science.

  • Unmanned well sites in remote locations present operational challenges. Data must not only be collected, but it also must be monitored to uncover any discrepancies, and ideally predict any problems before they occur. Advanced analytics software, coupled with a sophisticated data collection system, can address these issues, and also provide additional benefits.

  • The oil and gas industry, like many others, is collecting and storing ever larger volumes of data. Although, there is value in this data, it is often difficult to unearth using conventional analysis tolls such as spreadsheets. To address this issue, new data analytics software platforms are being introduced specifically to deal with time-series data.

  • The data generation and collection strategies at the center of manufacturing processes have evolved dramatically, especially in recent years. Process manufacturers now collect and store huge volumes of data throughout their operations, both on and off premise, across multiple geographic locations, in an increasing number of separate data silos. In this paper, we propose five questions we believe every process manufacturing buyer should ask when evaluating a data analytics solution.

  • Often the first notification of a spill comes from a member of the public, hours and sometimes days after the first spill. This can intensify public health and environmental impacts and the cost of clean-up efforts. Following a sewer spill at an environmentally significant site at Midway Point in August 2017, TasWater sought a way to reduce the likelihood and impact of spill events occurring in the future.

  • Businesses rely on process units meeting or exceeding their operational plans. To ensure that operational plans are achieved, it is important that equipment operates as designed (i.e., delivers the required performance) and continues to operate in an optimum manner (i.e., remains reliable, in a good condition). The most common causes of missing operational plan targets are equipment failure, which results in unplanned downtime, and low quality or yields from production processes.

  • The prime reason most industrial plants still have internal, on-site maintenance staffs is to reduce repair times and unplanned downtime, which negatively impact revenue, customer satisfaction, cost, and other key business metrics. In most plants today, contracting with the equipment manufacturer for maintenance usually results in unacceptably long periods of downtime for critical equipment while waiting for a technician to arrive – particularly with the typical two passes required for inspection and repair.

  • At ARC Advisory Group’s 20th Annual Industry Forum in Orlando, Florida, Shawn Anderson, Senior Research Specialist for Fisher Valves, a division of Emerson Process Management, gave a presentation on how the company is leveraging the Industrial Internet of Things (IIoT) to help end users reduce valve-related unplanned downtime.

  • Using historical data and Seeq analytical software, Nukon calculates when sewer blockages will occur up to 13 hours before occurrence, preventing spills.