At Symphony Industrial AI, our mission is to bring the promise of IIoT + AI to reality through our operations excellence solutions. Symphony Industrial AI’s data management platform provides real-time stream processing on time-series and related data for predictive analytics in the process manufacturing sector (chemicals, refining, pulp & paper, metals & mining, oil & gas etc.).
Process 360 AI is a solution extension to Asset 360 AI. As Asset 360 AI facilitates the prediction of equipment health, Process 360 AI does the same for manufacturing processes, units, or trains, giving manufacturers foresight to process trips and faults that impact unscheduled downtime and unplanned shutdowns.
Built with AI & Machine Learning, Symphony Industrial AI’s solutions predict failures before they happen to facilitate:
-A reduction in unplanned downtime & process trips
- A reduction in capital expenditure & asset maintenance costs
- Improvement in quality using gathered process & product data
-Improvement in safety and in tracking workforce effectiveness
Symphony Industrial AI has partnered with Microsoft and their Azure Cloud services (including Azure IoT Hub, Azure Machine Learning, and Power BI) to deliver Cloud scale IIoT + AI platform and solutions that support digital transformation initiatives ranging from condition-based monitoring to reliability centered maintenance.
Symphony Industrial AI’s solution is unique and speeds time to value (rapid deployment for minimized time and financial investment) due to our:
-Operations Date Lake (ODL): Pre-built integrations to existing systems of record (historians, EAM/CMMS, SCADA etc.)
-Equipment and process template library: A library of equipment and process templates (pre-packaged analytics) that accelerate implementation and time to value
-AI/ML algorithms: Pre-packaged algorithms for failure/anomaly prediction
-Asset 360 AI and Process 360 AI: Pre-packaged solutions for asset performance intelligence and operations/process intelligence respectively
As Symphony Industrial AI focuses on using operations data to enable and enhance our customers’ performance management and operational excellence initiatives, key customer stakeholders include business leaders in the Emerging Technology/IoT/Manufacturing Digital Transformation groups, those in Analytics Center of Excellence, Operations/Manufacturing/Production leaders/executives, Asset Maintenance/Integrity/Reliability leaders/executives, HSE (Health, Safety, Environment) leaders/executives, and those charged with manufacturing process improvement and operational excellence programs.
We invite you to contact us at Symphony Industrial AI to discuss how we can help your organization quickly deploy predictive solutions for your manufacturing processes. We are confident that our model template approach will help you deploy predictive analytics solutions faster than traditional approaches, thus delivering a quicker time to value.
