Proactively monitor manufacturing assets to drive optimal performance and reliability

Achieve optimal asset performance and uptime with the world’s most advanced domain-informed AI analysis and real-time asset health monitoring solution.

Using trusted technology, combined with cutting-edge AI, SymphonyAI Asset Performance Management delivers a robust and scalable way to monitor your industrial asset performance in real-time. It not only predicts issues but also is able to determine root-causes and provide remedial action recommendations.

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Benefits

Wholistically monitor asset health
Complete visibility into the mechanical and process health of your machines through real-time analytics that use all types of data available in your plant. Experience 10 – 30% improved productivity.
Maximize uptime and prevent expensive unplanned downtime
Automated early warnings using a combination of AI & physics analysis help highlight impending issues much before they become serious. And further analysis using a unique failure mode library and contextualized historical events drive precise and proactive maintenance actions. Get 20 – 50% reduction in unplanned downtime.
Optimize throughput and control production costs
Forecast and optimize plant operations using the power of deep learning digital twins that continuously adapt to plant conditions and provide setpoint advisories in real-time. Achieve 1 – 5% increased yield.
Eliminate knowledge silos
Consolidate and contextualize multiple sources of vibration data, process data, maintenance records, and historical reports to get the most comprehensive picture of asset health. Enable multiple functions across the organization to share knowledge and make collaborative decisions. Ensure programs have proper visibility with customizable dashboards, alerting and reporting.

A wholistic APM strategy is critical

So far, most companies have failed to unlock the true potential of their data by resorting to solving local problems rather than having a global APM strategy.

This exacerbates the problems of knowledge silos and lack of seamless integration between different data and analytics systems.

Symphony AI’s wholistic APM strategy helps organizations unlock value across the value-chain at scale.

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Industrial co-pilot with generative AI

Transform the way you interact with your plant data with the world’s most powerful, most explainable, and most trustworthy Industrial Co-pilot. Ask questions about any data in your enterprise, generate visualizations, forecasts, inferences, and reports with natural language prompts in your language.

Features

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Advanced early-warning system

Multi-modal anomaly detection with cutting-edge deep learning AI combines vibration data, process data, documents, and images to detect incipient issues and generate warnings at the early stages of a mechanical or performance problem.
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Automatic root-cause and advisories

State-of-the-art machine reasoning engines that use built-in machine and process physics automatically analyze data patterns to determine possible root-causes and mitigative actions.
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Comprehensive asset model library with failure modes

Accelerate time-to-value with SymphonyAI’s pre-built asset model library that cuts setup time for a new model from days to a few minutes. Models also come with possible failure-modes and patterns already defined for over 85% of industrial assets.
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Fully self-service and configurable

Use intuitive no-code user interfaces to manage everything from asset model definition to data transformation, processing, and visualization. Managing AI models can be done with a few clicks – no need to be a data scientist or engineer.
 

Leading aluminum producer achieves 3x ROI within 4 months with APM 360’s predictive maintenance solution at a single plant!

APM 360’s predictive anomaly detection was able to give early warnings to plant personnel several hours ahead of events that would have led to unplanned downtime and expensive repairs. Within a single plant, this performance and reliability solution paid for itself many times over within just 4 months.

Cutting-edge DataOps and MLOps on the Smart Manufacturing Platform

• Establish a contextualized source-of-truth for IT & OT data across facilities and functions.

• Rapid data contextualization, integration, validation, and governance made easy.

• A complete no-code workbench to empower SMEs to explore, build, validate, deploy, and scale advanced analytics models.

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Core capabilities

Predictive maintenance
Asset health management
Predictive forecasting
Performance metrics and reporting
Performance optimization
Collaboration and communication
 

Recognition

idc

Verdantix Green Quadrant​

2023 Best Practices Award

Customer stories

 
Case Study
APM 360 – Nippon (Industrial Gases)
 
Case Study
APM 360 – Micron (Electrical APM)
 
Case Study
APM 360 – KBR (Petrochemical)
 
Case Study
Performance 360 – Barrick Gold
 
Case Study
Performance 360 – Piramal / Owens Corning

Videos

 
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APM 360 – 2 minute animated
 
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Performance 360 – 2 minute animated
 
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APM 360 – 4 minute demo
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User panel Discussion (Logan, Nippon Gases, NRG)
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Digital Twin Studio – 2 minute

Additional resources

 
Data sheet
APM Data 360
 
Data sheet
Performance 360
 
Data sheet
APM 360
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