Seeq Corporation

1301 2nd Avenue, Suite 2850
Seattle, Washington 98101
United States

More Info on Seeq Corporation

Seeq® is founded on the premise that many process manufacturing organizations are DRIP “Data Rich, Information Poor” (DRIP) and the number will increase with new sensor deployments and higher data creation rates driven by the Industrial Internet of Things (IIoT). As a result, the existing need for solutions for process manufacturing companies to derive insight from their data will only become more widespread and important in the future.

Seeq’s vision is to address this requirement by closing the gap between advancements in data and computer science - big data and machine learning as examples – and the software available to engineers and plant employees, delivering innovation as features in easy to use, advanced analytics applications. In addition the Seeq vision includes the needs of whole organizations including collaboration, publishing, and IT requirements that span teams, plants, and divisions. Finally Seeq includes the flexibility of on premise or in the cloud and distributed deployments to “future proof” customer investments and accommodate organization strategies for data collection and management.

With Seeq, customers will achieve better, faster insights on their data, take action on insights more quickly and improve their production and business metrics.

Seeq is supported by a broad set of process automation vendor partnerships such as OSIsoft, Honeywell, and Siemens, and by system integrator partners for sale licensing and services around the globe. Additional partnership and licensing agreements are currently underway with other industrial automation vendors and will be announced when finalized.

Articles

Courtesy of Seeq
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Process manufacturing quality deviation investigations are often manual, time-consuming and resource-draining procedures. However, AI-driven advanced analytics platforms streamline...
Aug. 27, 2025
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Operational information was historically kept in convoluted and sluggish data storage repositories, but creating insightful analyses requires treating time-series process data...
Aug. 1, 2025
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Scatter plot overlaying process and quality data.
Advanced analytics applications are a key component to create actionable insights using statistical analysis techniques.
March 26, 2025
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With rising demand to streamline operations, centralize experts and increase collaboration, advanced analytics platforms are helping organizations standardize and optimize production...
Feb. 26, 2025
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The mining sector can mitigate the retiring workforce void by embracing AI tools, which generate and provide insights to users, enabling them to optimize operations.
Dec. 26, 2024
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Modern analytics platforms form a foundation for enhanced insights and collaborative problem-solving, helping plants run reliably at optimal throughput.
Oct. 29, 2024
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Partnership builds on Seeq Industrial Analytics and AI Suite and CONNECT to improve data sharing and operations outcomes for industrial organizations.
Oct. 16, 2024
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By incorporating AI in advanced analytics workflows, pharmaceutical manufacturers are upskilling subject matter experts, reducing inefficiencies and decreasing time-to-market ...
Sept. 4, 2024
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Chemicals and refining industry leader Honeywell UOP is leveraging modern technology to improve efficiency and decarbonize operations over the product lifecycle.
June 13, 2024
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New AI capabilities accelerate operational excellence across the industrial enterprise.
Feb. 29, 2024

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Additional content from Seeq Corporation

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Propelled by net-zero commitments, the energy transition and market challenges, mining companies are rethinking operations and optimizing processes to increase production, reduce...
Dec. 7, 2023
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By implementing advanced analytics solutions in the mining, metals and materials sector, companies are automating data aggregation and cleansing tasks, and freeing up experts’...
Sept. 26, 2023
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Seeq Databricks Partnership
Partnership builds on Seeq advanced analytics innovations and Databricks enterprise AI capabilities to improve data accessibility and enhance machine learning workflows.
Aug. 28, 2023
Seeq Aws Manufacturing And Industrial Competency Image
The distinction recognizes Seeq for its expertise in providing customers software solutions for an end-to-end industrial manufacturing software toolchain.
April 17, 2023
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Seeq Solution For Msft Sustainability Manager Image
The new software enables sustainability teams to leverage advanced analytics to accelerate organizational efforts to record, report and reduce emissions.
April 11, 2023
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Understanding organizational capabilities, infrastructure and objectives are key to avoiding common pitfalls when it comes to researching, selecting and implementing an asset ...
April 10, 2023
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Pharmaceutical manufacturers are optimizing business profitability through deployment of advanced analytical solutions.
Feb. 14, 2023
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Seeq Arc 2023 Solution Image
The new solution enables process manufacturers to improve profitability and sustainability using advanced analytics and machine learning.
Feb. 6, 2023
Seeq 2022 Poya & 2023 Global Partner Symposium Image
The annual partner awards honor excellence in delivering the next generation of process manufacturing improvements.
Jan. 19, 2023
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Seeq Aws Life Sciences Competency Image
The designation recognizes Seeq’s expertise in enabling faster insights and better business outcomes for life sciences customers, including Bristol Myers Squibb, with advanced...
Dec. 14, 2022
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Paired with the expertise of their subject matter experts, oil and gas companies can leverage advanced analytics applications to gain new visibility into their process data, helping minimize emissions with little to no capital investment
By leveraging advanced analytics applications, refining and petrochemical companies are creating models to proactively decarbonize their operations, accelerating the clean energy...
Dec. 7, 2022
Photo 158762749 © Industryviews | Dreamstime.com
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Process manufacturers are scaling advanced analytics across entire asset bases to enhance maintenance strategies and increase uptime.
Oct. 27, 2022
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Figure 1: Common use cases for multivariate analytics in the heavy process industries.
Advanced analytics solutions tackle multivariate analytics challenges with SME-driven innovation.
Feb. 2, 2022
Seeq Corporation
Seeq 2021 Partners Of The Year Image
Seeq’s annual partner awards program honors excellence in delivering the next generation of process manufacturing improvements.
Jan. 31, 2022
Seeq Corporation
Seeq Aramco Press Release Image (002)
Deployment of Seeq software will expand production insights to support data-based decisions at Aramco.
Dec. 14, 2021
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Seeq Aws Energy Competency Press Release Image
The designation recognizes Seeq’s expertise in enabling faster insights for energy customers via advanced analytics features and innovations.
Dec. 1, 2021
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Seeq Azure Add On Press Release Image
New Seeq Azure add-on feature enables rapid deployment of Azure Machine Learning algorithms to frontline plant employees.
Nov. 4, 2021
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Scaling complex analytics across production assets improves production and operations metrics.
Oct. 25, 2021
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Seeq Expanded Ml Support Release Image
New initiative facilitates the integration of machine learning algorithms from open-source, third-party and customer data science teams into Seeq applications.
Oct. 14, 2021
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The predictive analytics era redefines how process manufacturers care for critical equipment.
July 26, 2021
Seeq Corporation
“Analytics software for manufacturing organizations is an area overdue for innovation,” says Steve Sliwa, CEO and Co-Founder of Seeq. “Spreadsheets replaced pen and paper 30 years ago for analytics and haven’t changed much since. By leveraging big data, machine learning and computer science innovations, Seeq is enabling a new generation of software-led insights.”
New Seeq extensibility features facilitate machine learning initiatives by bridging IT and OT organizations, enabling end user access to data scientist algorithms.
June 18, 2021
Seeq Corporation Aws Glue Connector
Seeq launches AWS Glue integration solution for process manufacturers to easily access and migrate their process data to AWS, and adds SOC2 Type 1 certification.
April 29, 2021
Courtesy of Seeq
Figure 1: Lonza’s global footprint, major production sites by maturity.
Outlining Lonza’s journey to digital manufacturing and data analytics.
April 28, 2021
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Applying advanced analytics to new and existing data creates insights to help manufacturers improve efficiency, reduce emissions and cut energy costs.
Jan. 25, 2021