Industrial Copilots

AI copilots for the manufacturing enterprise

Unleash efficiency and innovation with transformative AI copilots, tailored to the unique needs of industrial enterprises.

Flowchart showing data integration and processing for an industrial AI system: Conventional data (CMMS, ERP), Operational data (Historian, OMS, MES, SCADA/PLC/IoT), and Engineering data (SOPs & Docs, Images, Simulation) feed into Data Contextualization, then into a Knowledge Graph. The Knowledge Graph connects to Predictive models, which interact with a Pre-trained Industrial LLM at the center. Outputs include an interface visualizing machinery data and an API endpoint.
White text reading 'Navigating Industrial AI' with diagonal gradient patterns.
Infographic: Navigating the Industrial AI opportunity

AI can streamline operational workflows, optimize processes, and increase uptime.

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Engineers collaborating around a table with blueprints and a laptop in a modern industrial design office, with a large technical drawing displayed on a screen behind them.

AI for industrial

In an increasingly competitive and rapidly evolving industrial landscape, organizations must embrace cutting-edge technologies to stay ahead of the curve. Predictive and generative AI-powered solutions drive innovation, optimize operations, cut costs, improve quality, and exceed customer expectations to deliver exceptional value needed to succeed.

Industrial Copilots​

Plant Performance Copilot
Digital Manufacturing Copilot
Connected Worker Copilot
Built-in data analytics and cognitive insights

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The data analytics and cognitive insights layers collect, process, and analyze data from sensors and devices in the manufacturing environment. This data can be used to identify trends, patterns, and anomalies that can help manufacturers improve their operations. Cognitive insights can also be used to automate tasks, make predictions, and generate recommendations.

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Two workers in safety gear using tablets: a man in a white helmet and yellow vest labeled Reliability Manager above a man in a blue helmet and shirt labeled Maintenance Engineer, alongside a software interface named Plant Copilot displaying a heat transfer efficiency forecast graph for boiler 1 at Cortez plant with user and AI messages and possible followup prompts.
Geared to specific personas

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The SymphonyAI Industrial Copilot is tailored to diverse roles within your manufacturing plant, offering personalized assistance to operators, engineers, and managers, enhancing efficiency and productivity across the board.

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Left side shows two images: top is a production manager in a hard hat and suit holding a tablet, bottom is a process engineer in a hard hat and work clothes interacting with a digital AI interface. Right side shows a Plant Copilot chat interface where John Doe and AI Copilot discuss assessing production risks and material shortages for upcoming shifts, with options for alternate prioritization and materials, plus buttons for Yes or No.
Based on specialized LLMs

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Our manufacturing copilots use specialized large language models (LLMs) and generative AI to help factory operators, engineers, and managers automate tasks, improve efficiency and prevent downtime.

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Split image showing an industrial operator wearing a white hard hat, yellow safety glasses, and gloves in a factory setting above a label 'Operator,' and a quality analyst with short blonde hair and glasses, wearing a white coat and using a tablet above the label 'Quality Analyst.' On the right side is a chat interface titled Plant Copilot, displaying a conversation where John Doe reports a conveyor belt issue and the AI Copilot responds with technical troubleshooting steps including safety precautions, inspection, and maintenance instructions.
User interface of Plant Copilot showing a chat conversation with an AI Copilot preparing trends of Heat Transfer Efficiency for Boiler 1 and Boiler 2 from March 1 to March 30, 2023, with a line graph displaying Boiler 1 in blue fluctuating around 80% efficiency and Boiler 2 in purple around 50%, including forecasted trend in orange with a shaded confidence area. The chat includes recommendations for boiler maintenance and a request to translate the summary into Spanish.

Features of the Plant Performance Copilot

Experience a revolutionary leap in industrial plant performance with our cutting-edge Plant Performance Copilot. Empower your reliability engineer through natural language system interaction to gain assistance and insights into:

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– Assessment and inspection

– Risk analysis

– Documentation review

– Maintenance and repair

– Testing and validation

– Submit recommission reports

Screenshot of a Plant Copilot chat interface showing a user named John Doe asking about bearing temperature and an AI Copilot response referencing an operating manual stating the max allowable bearing temperature is 70 degrees Celsius, noting 75 degrees is above limit. A secondary pop-up displays John Doe requesting possible reasons and AI Copilot listing causes like insufficient lubricant, poor installation, small clearance or heavy load, high friction, and improper lubricant type.

Features of the Connected Worker Copilot

Facilitate quicker onboarding and reduce training duration by equipping your frontline operators with a continuously available digital agent that offers:

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– Valuable insights into workflow metrics
– Seamless access to procedure documentation through natural language
– Inspection and quality support

Screenshot of a Plant Copilot interface featuring an AI Copilot chat performing an inventory risk assessment. The chat shows instructions to explain AI work and details the workflow for risk inventory assessment, including steps like StartPerformInventoryRiskAssessment and ValidateInventoryAgainstSafetyStockLevel. It also presents analysis summaries and messages from a user named John Doe requesting an inventory risk assessment.

Features of the Digital Manufacturing Copilot

Unlock the potential of your manufacturing operations with our Digital Manufacturing Copilot. By seamlessly tying workflow, production, and sensor data together, this innovative solution offers invaluable insights into process optimization and bottleneck prevention, significantly boosting throughput. Our copilot empowers production managers to:

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– Review and adjust orders and line schedules
– Assess material availability on the shop floor
– Monitor production status real-time
– Review OEE metrics and make adjustments

Empower a digital workforce to improve scalability, make faster decisions, and improve ROI​

35-40%

Improvement in ROI

45–70%

Improvement in decision-making

4x

Faster adoption and scalability

Flowchart illustrating an industrial AI system where industrial data is inputted into data contextualization, then a knowledge graph, followed by predictive models and a pre-trained industrial large language model (LLM), which interact to produce reliable industrial management outputs.

Introducing the world’s first ​Industrial Large Language Model​

Welcome to a new era of industrial innovation, where the precision of technology meets the power of generative AI. Introducing our groundbreaking Industrial Large Language Model (LLM), a game-changer that sets the new era of smart manufacturing.

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Flowchart showing steps from raw data through data contextualization, forming a knowledge graph, leading to predictive models and a pre-trained industrial large language model, which feed back into the knowledge graph and predictive models, aiming to generate relevant maintenance actions.

Advanced industrial predictive models

Embrace the future of industrial manufacturing with our advanced Predictive Models. These powerful tools harness the wealth of data generated within your operations to forecast potential issues, enabling proactive problem-solving and minimizing downtime.

Diagram illustrating a data flow process in industrial reliability management: operational and computational data feed into Data Contextualization, which connects to a central blue Knowledge Graph. The Knowledge Graph links bidirectionally to Predictive Models and Pre-trained Industrial LLM. Both Predictive Models and Pre-trained Industrial LLM feed into Reliability Management and Optimization. The design uses squares with icons and arrows showing data movement and interaction between components.

Transform data into knowledge with the Industrial Knowledge Graph

Experience the transformational power of Knowledge Graph within your industrial manufacturing operations. Knowledge Graph is more than just data; it’s the intricate weave of insights, information, and expertise that drives informed decision-making.

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