SymphonyAI Industrial channels the power of rapidly evolving IIOT, Artificial Intelligence, and big data technologies to deliver industrial insight that provides exponential value to our customers.

Batch 360™ moves manufacturers from traditional Statistical Process Control (SPC) which is univariate and provides late alerts, causing scrap and quality overruns, to a highly sophisticated Al-driven multivariate model that harnesses all available data to manage production at highest levels for batch optimization.

These models perform the following:

· Understand potential factors of deviations

· Act in real-time to bring a process back on track

· Make set point recommendations under dynamic operating conditions to generate a "golden batch"

With Batch 360™, known variables characterizing ideal production conditions are input and operators are prompted for proper procedures for the current run. Batch 360™ provides real-time monitoring and supervisory control. Runtime data is historized and analyzed for golden batch conditions profiling and Al optimizes batch characterization.

SymphonyAI Industrial solutions serve a broad range of industries from process to discrete to naval and marine.

Batch 360™ is unique in that it provides:

· Data Acquisition - Connectors to a wide-range of data acquisition systems and an efficient data management system capable of streaming and batch analytics

· Data Pre-processing - Automated de-noising, imputation and contextualization using advanced ML algorithms

· Soft-sensing - Soft-sensing of critical production parameters in real-time

· Templatized Al Models - Explainable Al modules with parameters tuned for the manufacturing process with deep learning and system identification modules

· Deep Forecasting - Deep forecast module for KPOVs with KPIVs with track-and compare features

· Golden Batch Analytics - Identification of golden batch conditions from historical runs combined with ability to track deviations of batch runs in real-time

· Anomaly Detection and Prediction - Anomaly detection and prediction using deep self-learning Al models

· Real-time Quality Assessment - Real-time monitoring of production quality with automated defect detection, production unit health scores, alerts and notifications

· Predictive Asset Health - Explainable Al leading with automated cause analysis for predictive maintenance of equipment

· Optimization and Control - Real-time supervisory control with sophisticated state estimation and optimizers to maintain production at highest levels

· Model Management - Automated model re-training for anomaly detection, forecasts, soft-sensing, and optimization

· MLOps, Continuous Integration, Continuous Deployment - No resource drain for end-users or IT staffs to keep up with new releases and feature enhancements

Batch 360™ - AI Enabled Production Optimization

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