Sjoerd Hoogwater, Consulting Engineer, Phillips 66

Phillips 66 employs Seeq to detect and analyze coke drum blowouts, a significant safety concern in refinery operations, particularly at their Borger Refinery. Previously unnoticed minor blowouts are quickly identified using Seeq’s advanced analytics capabilities, providing greater clarity on incident patterns and occurrences. Through rapid statistical analysis, they confirmed that blowouts occur in clusters rather than randomly, guiding more effective mitigation strategies. This implementation drastically reduces manual analysis time, enabling faster operational improvements and enhancing overall safety.

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John Spelic, Manager Automation & Equipment Analysis, Tallgrass

Tallgrass Energy uses Seeq to optimize the overhaul scheduling of turbines across multiple compressor stations, addressing the challenge of managing unpredictable runtimes and fluctuating pipeline conditions. The integration of Seeq provides real-time visualization of turbine operating hours and status, simplifying monitoring and enabling rapid response to undesirable configurations. Automating the scheduling process has already delivered substantial financial benefits, saving approximately $6 million immediately, with projected additional savings of up to $12 million. This strategic capability ensures predictable maintenance costs, stable financial planning, and enhances long-term operational reliability.

Jeff Skarda, Digital Solutions Sr. Consultant, Kimberly-Clark

Kimberly-Clark used the Seeq platform entirely rebuild an entire software application used to track waste production during startup that had become obsolete. Leveraging Seeq’s AI Assistant and Seeq’s extensible platform, a new application was developed in weeks that was more advanced, performant, & user friendly than the incumbent.

Matthew Kishe, Sr. Principal Engineer, Eli Lilly & Co 

Eli Lilly presents a forward-thinking assets qualification monitoring (AQM) by exception initiative. Ensuring assets remain in a “qualified state” is critical for producing quality medicines. But traditional processes were manual, inconsistent, and time-consuming—taking up to 10 hours per month per asset.

Using Seeq Vantage and AI, Eli Lilly built a system that monitors qualified equipment across sites, flagging only exceptions rather than flooding teams with routine data and automatically generating routine reports for submission to the regulatory bodies. This shift empowers engineers to focus on real risks while maintaining a state of control—faster, smarter, and with fewer compliance headaches.

Kevin Louie, Deputy Director, Automation Site Support, Sanofi

Our Environmental Monitoring (EM) system uses vacuum to pull a defined volume of air each sample. The tubing became disconnected at an unknown time. Using SeeQ I defined periods of sampling for flowrate values between rest state and setpoint. I then calculated and trended the durations of these sample periods over a 1-day aggregated period for all sample events. Then we determined: When the tubing was first disconnected based on a change in duration to reach flowrate setpoint What maintenance work was involved that might have led to the disconnect How many batches were impacted to isolate vs which ones were okay to release for sale & distribution.

Dr. Lisa Graham, CEO, Seeq

Dr. Lisa Graham emphasizes the power of Seeq’s growing user community and its role in driving real impact through human-centered AI. Users submit over 188,000 AI prompts and report more than $1B in value created through Seeq.

Case studies from Intel and Energy Transfer demonstrate how Seeq enables productivity gains, energy savings, and automation at scale. Graham reinforces that true change comes from people—not just technology—and previews Seeq’s roadmap, including AI in Teams and executive-focused impact reporting.

Marjan Milosevic, Head of Industrial IT, Holcim Technology

Self-service analytics is a key enabler in Holcim’s Plant of Tomorrow program, enabling plant engineers to both improve process performance and simultaneously upskill in analytics to better use the next wave of technologies around machine learning. We present how Holcim, a leader in sustainable building materials manufacturing, grew a sophisticated data analytics approach, as well as highlight some of the >100 use cases this effort delivered in optimizing emissions, energy usage, materials quality, productivity, and more.

Brent Railey, Manager of Data Science, Chevron Phillips Chemical

Chris Herrera, Head of API & Interoperability, Seeq

Jai Karve, Solutions Architect, Databricks

As the concept of the “cloud lakehouse” matures and develops, Databricks has emerged as a key player in this space. Databricks is excellent at applying large-scale compute to data engineering, data science, and AI problems. However, Databricks is not a specialized time-series analytics tool, and does possess not out-the-box connectivity to industrial data sources.

On the other hand, Databricks has become a common store of IIoT data, with many companies landing the time-series data in their lakehouses and cloud datastore that Databricks compute engines can access.

Combining Seeq with Databricks together can have tremendous benefits–with Seeq being both a provider and a customer to Databricks. This session with outline patterns and practices, along with lessons learned, for Seeq and Databricks customers to scale-up their machine learning, IIoT, etc capability by conneqting (see what I did there?) Seeq and Databricks together.

Andrew Williams, Process Engineer, Just Evotex Biologics

Onboarding new equipment and comparing different equipment of the same type can be time-consuming and error prone. Integrating Seeq with DeltaV, Just Evotec has developed Seeq DataLab templates that streamline this process. These templates have enabled engineers and operators to easily access meaningful views of process data to make informed decisions. With automated asset tree structure, consistent naming and calculation conventions, and ease of access, Just Evotec has been able to put time that would have been spent sorting and organizing data into obtaining valuable process insights.

Nicholas Bradley, Global Remote Monitoring Leade, Guardian Glass | Jesse Karkheck, Remote Process Monitoring Subject Matter Expert, Guardian Glass

Remaining competitive in the face of volatile market conditions requires rapid transformation in operations. We identified a few key use cases to address pressures around energy costs, currency valuation, and product yield. We will share how we successfully achieved energy savings of over €500k at one plant YTD, improved product quality with a 60% reduction in defects, and scaled these new analytics and approaches to sites worldwide.