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Turn Specialty Chemical Data into Better Margins and More Consistent Production

Seeq helps specialty chemical manufacturers identify losses across yield, batch cycle time, quality, energy, and asset performance—then turn those insights into faster decisions, more consistent operations, and stronger margins.
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From Operational Insight to Business Impact


Seeq helps specialty chemical teams combine process expertise, data, analytics, and AI to improve plant performance and deliver measurable business outcomes. This guide shows how to connect operational data, investigate performance drivers faster, quantify the impact on yield, capacity, energy, downtime, cost, and margin, and scale what works across products, assets, and sites.
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Chemicals Outcomes

10%

improvement in OEE through real-time process optimization and better visibility to delays at Cabot

100x

ROI achieved in the first 3 months while scaling to 700+ users across 40+ data sources at Chevron Phillips Chemical

6%

and 3% reductions raw-material use and CO2 emissions (respectively) through distillation column soft sensor modeling at Solvay
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Customers Find Value with Seeq

Seeq is purpose-built to solve the inherent challenges of turning time series data into actionable insights, delivering insights in hours, not months. Seeq is empowering organizations to improve operational performance and accelerate business and ESG outcomes.

Reduce Energy Consumption


Allnex reduced greenhouse gas emissions equivalent to 1,095 passenger vehicles driven for one year by using energy modeling in See...

Optimize Batch Cycle Time


Solvay optimized batch cycle time with Seeq freeing up capacity of an additional 6-8 batches per year of a high-demand product

Increase Product Consistency


Ascend Performance Materials uses near-real-time SPC capabilities of Seeq to reduce monthly quarantined material by two orders of ...

Minimize Transition Scrap


Chevron Phillips Chemical uses Seeq to identify, overlay, and optimize product transitions, reducing transition time and off-...

Reduce Carbon Intensity


Syngenta uses Seeq to measure baseline carbon intensity of operations for monitoring and to identify improvements to make progress...

Optimize Heat Exchanger Maintenance


Covestro uses Seeq to build predictive models of heat exchanger fouling for their fleet of heat exchangers enabling optimal mainte...

Optimize Filtration Quality


Chevron Oronite uses Seeq combined with advanced Python models to predict filtration quality and provide operator recommendations ...

Predict Quality and Yield



Chemours uses Seeq to deploy Python models of product yield enabling continuous improvement of both product quality...

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Seeq Resources for Smarter Chemical Operations

Turning Cycle Time Into Capacity


A batch scheduled for 12 hours that runs for 24 can still score as fully efficient, because the measure only counts value-added time. The rinsing, the waiting, the idle hours between steps never appear, so the capacity being lost never gets costed.

Comparing actual against standard cycle time across products, vessels and shifts made those hours visible. Between 2024 and 2025 that meant 7% more batches per year, a 10% reduction in the impact of over-cycle-time runs, and a potential $1M absorption benefit when scaled across the vessel fleet.

From Margin Pressure to Margin Control



Every specialty chemical plant faces its own mix of operational pressures. Bring a challenge you are already working through—cycle-time variation, yield loss, off-spec production, or why some batches outperform others—and a Seeq expert can help you identify where to start, what data to examine, and how to approach the analysis.
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Learn more about Seeq's Platform. Take a tour on how we boost performance, and drive industrial success.

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