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Turn your plant's operational data into actionable insights for production efficiency and asset performance.

An industrial AI and analytics platform for 24/7 monitoring, time-series analysis, and predictive alerts.

DifferentiatorEmpowers subject matter experts to self-serve advanced time-series analytics, reducing analysis time from weeks to hours.
ProofUsed by 48% of the top 50 chemical manufacturers; Bayer increased production capacity by 10%.
Explore TrendMiner
Pricing on request
9.1 Zekai
Industrial Self-Serve Analytics
AI for Manufacturing & Industrial
Ease of Use
8.5
Accuracy
9.4
Value
8.8
Time Saving
9.5
Time-Series AnalysisPredictive AlertsProcess OptimizationRoot Cause AnalysisAsset Monitoring
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Zekai Verdict

What is it?
TrendMiner is an industrial analytics platform designed for manufacturing professionals.
Best for
Best for process and asset experts who need to self-serve analytics on time-series data without deep data science…
Not ideal for
Pricing is not publicly available and likely represents a significant investment.
Price
Pricing on request
Zekai Score
9.1/10
Hand-scored by Zekai

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⚡ Quick answer

For manufacturing and industrial professionals, TrendMiner is a leading AI analytics platform for optimizing processes and assets. It specializes in making complex time-series data from plant systems accessible to subject matter experts, enabling them to perform root cause analysis and predictive monitoring in hours instead of weeks. Its value is demonstrated by adoption in major companies like Bayer and Zeiss, leading to significant yield increases and downtime reduction.

CategoryIndustrial Analytics
Best ForProcess and asset experts optimizing plant operations.
Price FromOn request
FreeNo
DifferentiatorEmpowers subject matter experts to self-serve advanced time-series analytics, reducing analysis time from weeks to hours.
ProofUsed by 48% of the top 50 chemical manufacturers; Bayer increased production capacity by 10%.
Rating4.6/5
📖 About TrendMiner

TrendMiner is an industrial analytics platform designed for manufacturing professionals. It translates complex operational data from sensors, MES, and ERP systems into actionable insights to improve operational performance, asset management, and safety compliance.

Watch

See TrendMiner in action

How It Works

Your workflow, automated

1
Connect & Contextualize Data
Integrate time-series data from plant historians, sensors, MES, and ERP systems. Contextualize raw data into meaningful process events.
2
Analyze & Discover Insights
Use pattern recognition, statistical analysis, and machine learning to search for trends, diagnose issues, and identify optimization opportunities.
3
Monitor & Collaborate
Create dashboards, set up 24/7 monitoring with alerts on key parameters, and share findings with your team to drive action.
Ready to automate your workflow with TrendMiner?
Explore TrendMiner →
Real Impact

Before & After

❌ Before

Weeks spent manually exporting and analyzing historian data in spreadsheets.

1-30 days for analysis
✅ After

Find root causes and identify optimization opportunities in hours or minutes.

~4 hours for analysis
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Analyze steam column temperatures

Analyze 10 years of steam pressure data for a specific column. Overlay trends to determine the expected temperature when the steam pressure reaches 100 pounds. This will help identify optimal operating parameters.

Identify optimal start-up parameters

Compare multiple process start-ups from idle across different shifts. Identify deviations and select the ideal start-up parameters to create a 'golden fingerprint'. Use this fingerprint to minimize waste and ensure consi…

Prevent downtime with predictive maintenance alerts

Set up monitors for key trends that indicate potential equipment issues, such as a dryer vent clogging. Configure email alerts to notify process experts when these trends are detected, allowing for scheduled maintenance …

Social Proof

Trusted by professionals

Ease of Use
8.5
Accuracy
9.4
Value
8.8
Time Saving
9.5

"This tool completely changed how we troubleshoot. What used to take two weeks of pulling data into Excel now takes an afternoon. We found the root cause of a recurring trip in just a few hours."

Frank P., Process Engineer · June 2026

"The predictive monitoring is a lifesaver. We've caught three potential pump failures before they happened, saving us from significant downtime and repair costs. It's essential for our asset performance strategy."

Maria L., Reliability Lead · May 2026

"The value is undeniable, but there's a definite learning curve to get the most out of the advanced features. The basic trending is easy, but mastering the pattern recognition and ML tools requires dedicated training."

David C., Operations Manager · June 2026

"TrendMiner allows us to finally leverage the mountains of data we collect. We identified our 'golden batch' conditions for a key product and have seen a consistent improvement in yield ever since."

Samantha R., Continuous Improvement Specialist · April 2026
Connects With

Works with your existing stack

Manufacturing Execution System (MES) data Quality Management System (QMS) records Enterprise Resource Planning (ERP) system data Machine sensors Field Data Rounds & Shift Logs Asset Hierarchy
Setup complexity: Expert-Friendly
TrendMiner is an industrial analytics platform designed for manufacturing professionals. It translates complex operational data from sensors, MES, and ERP systems into actionable insights to improve operational performance, asset management, and safety compliance.
Comparison

How it compares

TrendMiner vs. Seeq: Both are top-tier industrial analytics platforms for process manufacturing. Choose TrendMiner for its user-friendly interface that strongly emphasizes empowering subject matter experts (like process engineers) to conduct their own analysis quickly; its pattern recognition features are exceptionally intuitive for this audience. Opt for Seeq if your organization has a greater need for advanced data science extensibility, including deeper integration with Python scripting and more complex modeling capabilities. Seeq may appeal more to teams with dedicated data scientists working alongside process engineers.

The decision

Is it worth it?

Return on investment
With customers reporting over $500k in annual recurring value per site, TrendMiner aims to pay for itself through direct improvements in yield, efficiency, and asset uptime.
Built for
Process engineers, reliability engineers, plant managers, and operations teams in process manufacturing industries like chemicals, food & beverage, and energy.
Effort to adopt
Expert-Friendly
Compliance
Compliance posture not publicly documented — verify with vendor.
Who It's For

Why Manufacturing & Industrial choose this tool

🎯
Built for
Best for process and asset experts who need to self-serve analytics on time-series data without deep data science expertise.
In-Depth Overview
For manufacturing professionals, the challenge isn't a lack of data, but the time it takes to make sense of it. TrendMiner directly addresses this by empowering process and asset experts—not just data scientists—to analyze complex time-series data themselves. The platform's core value is speed; it reduces analysis time from days or weeks using legacy tools down to hours. This is proven by customer reports of finding insights from 5 years of plant data in just 5 seconds. Instead of manually wrangling spreadsheets, you can visually search for patterns, diagnose process deviations, and predict equipment failures. The platform integrates with your existing data historians and enterprise systems, adding a crucial layer of context. Social proof is strong: 48% of the world's top 50 chemical manufacturers use TrendMiner, and customers like Bayer have achieved a 10% increase in production capacity. It effectively bridges the gap between raw operational data and high-value business decisions like improving yield, reducing downtime, and increasing efficiency.

Key Use Cases

🏭
Increase production yield without CAPEX
Process Engineer
Analyze historical batch data to identify the 'golden batch' parameters. Replicate optimal conditions across production to increase overall yield and quality.
10% production capacity increase
⚙️
Prevent catastrophic asset failure
Reliability Manager
Use pattern recognition on sensor data to detect early signs of equipment malfunction, such as pump resonance. Schedule predictive maintenance before a costly failure occurs.
$2.4M saved in 4 hours
📈
Reduce unplanned downtime and boost productivity
Operations Manager
Quickly diagnose the root cause of production interruptions by comparing historical data from normal vs. abnormal operating periods. Implement corrective actions to prevent recurrence.
Reduced downtime & increased productivity
✓ Pros
Dramatically accelerates time-to-insight from weeks to hours.
Empowers non-data scientists (process engineers) with advanced analytics.
Proven ROI with major industrial players like Bayer, Zeiss, and Arkema.
Integrates with existing operational data sources (historians, MES, ERP).
Provides 24/7 monitoring for proactive issue detection and prevention.
· Cons
Pricing is not publicly available and likely represents a significant investment.
Requires mature data collection infrastructure (e.g., data historians) for maximum value.
Primarily focused on time-series data; less suited for other analytics types.
Mastering advanced features may have a learning curve beyond basic trending.
⚡ Editorial Verdict

TrendMiner excels at making complex time-series data accessible to frontline operational staff, drastically cutting down the time to find root causes and optimize processes. Its power is undeniable for large-scale operations with existing data historians. However, its value for smaller plants without mature data infrastructure may require more initial setup and investment to realize the full potential.

Questions & Answers

Frequently asked questions

What is the best AI tool for optimizing manufacturing processes?

+
TrendMiner is a leading AI tool for process optimization in manufacturing. It uses time-series analytics and machine learning to help engineers find and replicate best-case operational conditions, leading to proven outcomes like a 10% production capacity increase at Bayer.

How can AI help reduce downtime in my factory?

+
AI platforms like TrendMiner help reduce downtime by providing predictive and diagnostic analytics. It enables 24/7 monitoring of assets to alert you before a failure occurs and drastically speeds up root cause analysis when an issue does arise, allowing you to get back online faster.

Which AI platform is best for time-series analysis in the chemical industry?

+
TrendMiner is exceptionally strong in the chemical industry, used by 48% of the top 50 global chemical manufacturers. Its self-service time-series analytics platform is designed for process engineers to optimize complex production processes and improve asset performance.

What kind of data can TrendMiner analyze?

+
TrendMiner primarily analyzes time-series data from operational sources like machine sensors and data historians. It also connects with and contextualizes this data using information from Manufacturing Execution Systems (MES), Quality Management Systems (QMS), and ERP systems.

Can plant engineers use TrendMiner without being data scientists?

+
Yes, TrendMiner is specifically designed to empower subject matter experts like process and plant engineers. Its user-friendly, visual interface allows them to perform advanced analytics, pattern recognition, and root cause analysis without needing to code or have a data science background.

How does TrendMiner integrate with my existing plant systems like MES or ERP?

+
TrendMiner features a connectivity layer that integrates with a wide range of industrial data sources. This includes operational data from sensors and historians, as well as contextual data from MES, QMS, and ERP systems to provide a comprehensive view of your operations.

Last reviewed:

Plans & Pricing

Start today

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with TrendMiner: 3 Steps to Your First Insight
  • **What is Self-Service Industrial Analytics?** Why empowering your engineers is key.
  • **Who Benefits:** From Process Engineer to Plant Manager.
  • **Key Data Sources:** Connecting to your Historian, MES, and LIMS.
  • **Core Feature Overview:** Analytics, Agentic AI, and Data Contextualization.
  • **Use Case Spotlight:** Finding the root cause of a batch anomaly.
+4 more steps inside the guide
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AI Directory

About TrendMiner

Full Description

TrendMiner is an industrial analytics platform designed for manufacturing professionals. It translates complex operational data from sensors, MES, and ERP systems into actionable insights to improve operational performance, asset management, and safety compliance.

Editorial Verdict

TrendMiner excels at making complex time-series data accessible to frontline operational staff, drastically cutting down the time to find root causes and optimize processes. Its power is undeniable for large-scale operations with existing data historians. However, its value for smaller plants without mature data infrastructure may require more initial setup and investment to realize the full potential.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to TrendMiner unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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