Excellence in operations

Manufacturing Workflow Intelligence

Next-gen manufacturing operations management driven by hybrid architecture, intelligent data, intuitive UX, and seamless composability.

30%

Reduction in cycle time. Slash cycle times through data-driven orchestration with real-time insights, predictive analytics, and streamlined workflows.

100%

Traceability of production processes. Track and trace every operational component, product, or batch, ensuring highest quality and regulatory compliance.

25%

Increased resource utilization. Real-time monitoring and predictive analytics enhance scheduling of resources, production rates of equipment, and material allocation.

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Where systems drive operational excellence, the collaboration with SymphonyAI industrial has helped us capture data critical to the development of cutting edge solutions that know how to harness data for value”

Improve Performance, Tracking, and Quality Assurance

Enhance Operational Efficiency with AI-Driven Automation

Reduce operational costs, enhance production time, minimize waste, and improve overall product quality by removing traditional paper-based manual processes and replacing them with strategic automated workflows through AI-driven tools and technologies.

Improve material handling processes under demanding circumstances and ensure seamless traceability and optimized resource allocation, while achieving peak efficiency in material handling, from origin and receiving through to processing, assembly, and packaging.

Gain valuable insight and control that increases efficiency throughout, including dispatching jobs to specific work centers with the guidance of AI-generated recommendations based on each location’s capabilities and available provisions.

Elevate manufacturing production processes with AI-driven real-time monitoring through advanced data processing, sensor and visual information, and predictive trends and recommendations. Rapidly detect issues, reduce defects, and ensure every product meets the highest standards of excellence.

Drive consistent operations across the enterprise. Edge-driven deployments provide tailored workflows for individual sites and production lines. Enterprise system management provides centralized governance to manage deployments at scale. Optimize performance in real-time with recommendations from IRIS Copilot.

Industrial Connectivity
Composable Approach
Lightweight Workflows
Enterprise System Management
Industrial Copilot

Established connectivity to more than 100 industrial protocols, sources, and equipment, enabling real-time data sharing and accessibility.

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Data orchestration and pipelines automate the management and coordination of on-premise, hybrid, or cloud-native workflows. Efficiently organizing, processing, and transforming data from multiple sources allows full data accessibility for analytics and business intelligence. Seamlessly convert protocols, no coding required.

Circular diagram illustrating IRIS at the center surrounded by AI types: Knowledge Graph, Predictive AI, Generative AI, Deep Learning, and Decisive AI, with outer ring of industrial connectivity protocols and platforms like Azure Data Lake, MQTT, Kafka, Modbus, OPC UA, CAN, FTP, REST API, HTTP, and logos of companies like Rockwell Automation, Honeywell, Siemens, GE, Emerson, Schneider Electric, and IBM Maximo; above the circle are user roles including Process Engineer, Production Manager, Operator, Quality Analyst, Maintenance Engineer, and Reliability Engineer.

Adapt to business changes by continuously integrating new models, processes, and workflows with the assistance of powerful AI tools and libraries.

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Implementing a composable deployment approach allows for incremental enhancements to operations, avoiding the traditional, rigid monolithic MES model.

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This flexibility supports a dynamic and responsive production strategy, keeping operations aligned with evolving business demands.

Diagram showing Composable Functions in manufacturing operations at the center with six connected blocks: CAPA (Corrective and Preventive Actions to guide employee reactions), Recipe Management (manage machine settings and automate recipe selection), Deviation Tracking (real-time status of production incidents), Work Order Tracking (real-time status of production and work orders), Sample Management (use Statistical Process Control for production sampling quality), and Changeover Management (manage steps required for machine or line changes).

Rapidly deploy, replicate, and scale tailored workflows across sites with centralized oversight and control.

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Iterate and publish modifications without causing disruptions while streamlining the workflow process, ensures continuous optimization and adaptability, achieving and maintaining peak efficiency and agility across entire industrial and manufacturing enterprises.

SymphonyAI Industrial performance dashboard for Capper work center showing OEE at 58.4%, availability 80.6%, performance 76.4%, and quality 94.8%. Downtime events listed by start/end time and reason, including dirty, power surge, and calibration. A bar and line chart displays downtime by reasons with time loss and number of incidents. A performance and quality line graph shows cumulative kg over time from April 3 to May 3, 2023. The dashboard features navigation for SymphonyAI Industrial hierarchy and options to filter by time range, order, and material.

Gain comprehensive oversight of all deployments across all divisions with advanced reporting on system and asset health.

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Full visibility into connectivity, activity, and arising issues enables proactive management to quickly resolve system issues.

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Self-aware asset monitoring with user alert capabilities ensures that potential problems are detected and addressed before they impact operations, fostering a stable and reliable production environment.

Diagram with a central blue hexagon labeled 'Enterprise management' connected by arrows to six surrounding light blue hexagons labeled: Asset Reliability, Health Monitoring, Deployment management tool, Alert & Notifications, Access Management, and Periodic Report Delivery, each with a relevant icon.

Enhance and extend production capabilities with IRIS copilots to provide real-time insights, alerts, and recommendations.

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Easily navigate production constraints, receive suggestions for alternative scheduling or material allocation, and swiftly adapt to ever-changing production requirements.

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Industrial copilots empower teams to make informed decisions, optimize processes, and maintain the highest level of responsiveness in a constantly shifting manufacturing landscape.

Collage of AI Copilot interface screenshots showing boiler maintenance analysis and efficiency trends: a chat with user John Doe asking options; AI proposing running models for prioritisation schedule and material replacement; AI confirming fetched data, analysis using Boiler Efficiency Handbook, and formatted recommendations advising boiler cleaning to restore heat transfer efficiency and prevent degradation; graphs displaying heat transfer efficiency trends for boilers 1 and 2 across March 2023 with confidence ranges; user prompts asking reasons for trend and deviation percentages; a central Plant Copilot screen inviting questions or prompts like critical alerts and average heat transfer efficiency in the last week.
IDC company logo with stylized horizontal lines inside a circle to the left of the letters IDC.
“Major player” in Manufacturing Execution Systems under process, discrete and high-tech manufacturing​
The text 'FROST & SULLIVAN' in all capital letters with an ampersand symbol between the words.
2023 Technology Innovation Leadership Award: Best in class in the global artificial intelligence solutions
IRIS Foundry
Predictive Asset Intelligence
Plant Insights
Connected Worker
IRIS Workspace

IRIS Foundry provides data connections, orchestration, unification, and AI modeling to enhance manufacturing efficiency, productivity, and improved decision-making through advanced analytics and machine learning.

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Industries such as oil and gas, energy, and pharmaceuticals are well suited for optimizing operational processes through the unification of complex data from multiple sources with IRIS Foundry. Simplify arduous procedures like improving batch consistency in pharmaceutical production, or predicting equipment failure in refineries.

Circular diagram showing IRIS at the center, surrounded by two rings labeled Protocols and Datasources, with various logos of industrial automation, data protocols, and datasources such as MQTT, ODBC, Kafka, SMTP, SFTP, REST API, HTTP, Modbus, OPC UA, RabbitMQ, CAN, XML, IBM Maximo, Schneider Electric, Siemens, Honeywell, ABB, PLEX, Tulip, and Amazon S3 around the outer ring.

Predictive Asset Intelligence uses AI to monitor asset health, prevent unplanned downtime, and optimize performance while leveraging real-time data, predictive models, and actionable alerts for proactive maintenance across industrial environments.

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Particularly for machinery-based industries like energy, chemical, utilities, and pharmaceutical sectors where maintaining continuous operations and preventing costly downtime is critical. Predictive insights helps avoid equipment failures such as detecting anomalies in engines, pumps, or compressors before they lead to shutdowns.

3D model of an industrial facility with highlighted assets in blue and icons indicating speed and alert status, accompanied by dashboard widgets showing health scores of 72% and 90%, an alerts panel detailing a sensor fault, and an asset and process definitions table with asset statuses and modification details.

Out-of-the-box analytics that deliver real-time AI-powered monitoring of key performance indicators (KPIs) to enhance plant operations, predict equipment issues, optimize efficiency, and provide actionable insights with no-code analytics and customizable tools.

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Significant benefits arise from precise monitoring of critical assets, prediction of maintenance needs, optimization of production processes, and advanced analytics for industry and manufacturing, especially oil and gas, pharmaceuticals, semiconductors, and utilities.

Dashboard interface showing settings menu with links to Site Performance, Plant Operations, and Maintenance and Reliability dashboards, and a Plant Heat Rate graph for Odyssey Power Co displaying fluctuating values between 5600 and 7200 kJ/kW-h from October 31 to November 23, 2022, with a 1% increase indicator.

Digital work instructions, inspections, alerts, and workflows accessible via mobile devices, ensuring process uniformity and real-time data traceability for operational excellence and compliance.

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Rear view of a worker in a hard hat and blue uniform operating industrial control panel with digital checklist and mobile app interfaces showing vehicle inspection items and workflow status icons overlaid.

An infinitely sized live collaboration environment with integrated analytics, workflows, calculations, models, and reports for unified access to real-time information and analysis.

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User interface of a digital workspace tool for technical diagram editing, showing stroke options, color selection, stroke width and style, sloppiness, edges, opacity, and layer controls on the left, a toolbar with drawing and annotation tools at the top, data cards displaying plant metrics like revenue, fuel price, and costs, an emissions summary with CO2 and NOx values, a complex black and white technical process flow diagram in the center, and a library panel with various engineering and industrial symbols on the right.