BOE’s Intelligent Agent Clusters and AI Factory: Real Applications of AI in Manufacturing

You now see a new era in manufacturing, with BOE leading the way by using intelligent agent clusters and the AI Factory. These advanced AI systems replace traditional, manual processes with smart, connected solutions. You benefit from faster production, better quality, and lower costs. For example, AI in manufacturing at BOE has led to significant gains:

With AI and precise data, you experience real, measurable improvements that set new standards for efficiency and innovation.

Key Takeaways

• BOE's Intelligent Agent Clusters, based on "BOE's Blue Whale AI Model", break through the limitation of individual points or isolated links and provide end-to-end closed-loop solutions for complex business scenarios from the front lines.

• AI-driven tools like AI Defect Management (ADM) agents streamline quality control, allowing for real-time defect detection and faster resolutions.

• BOE's AI Yield Management Agent (AYM) significantly increases the efficiency of defect analysis and handling, leading to faster production and lower costs.

• The AI agents also boost operational efficiency by AI-empowered decision making and smart finance.

• The 'AI+' strategy integrates data, machines, and people, enhancing product innovation, decision-making, smart finance and improving product quality with fewer defects.

• BOE's commitment to AI and sustainability leads to reduced carbon emissions and increased use of recycled materials in manufacturing.

BOE’s "AI+" Strategy

Strategic Evolution of "AI+" Strategy at BOE

BOE's "AI+" strategy closely revolves around business value and top-level technological design, with a clear evolutionary path:

• Single-Point Intelligence Stage: Early application of AI technologies like computer vision in specific areas such as defect detection and image optimization to solve localized efficiency problems.

• System Integration Stage: Embedding AI modules into systems like Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) to enable data-assisted decision-making within processes.

• Intelligent Agent Clusters Stage (Current Stage): Using the Blue Whale Display Large Model as a unified decision-making hub to construct a series of vertical-domain agents with autonomous perception, analysis, decision-making, and execution capabilities. These agents are no longer isolated tools but intelligent partners capable of mutual collaboration, penetrating deep into the "capillaries" of business processes, achieving a fundamental leap from "more powerful tools" to "more intelligent collaboration."BOE’s approach started with using ai for specific tasks like defect detection. Over time, you watched as these tools became part of larger systems. Today, BOE’s "AI+" strategy connects data, machines, and people across the entire value chain. You experience smarter decision-making, faster responses, and better results.

Intelligent Agent Clusters: Equipping System Tools with a “Brain” and “Hands”

According to BOE's definition, Intelligent Agent Clusters aim to make intelligent system tools grow a "brain" and "hands and feet." This vividly explains the difference from traditional automation or intelligent systems:

• "Brain": Provided by the BOE Blue Whale Display Large Model. It serves as a powerful reasoning center, integrating multimodal information such as language and vision, understanding complex intent, and making cross-domain judgments and strategy generation.

• "Hands and Feet": The various vertical-domain intelligent agents. They receive instructions from the "mind" or autonomously execute tasks based on domain knowledge, directly interacting with the physical world (e.g., production line equipment) or digital systems (e.g., design software, supply chain databases) to perform specific operations.

This architecture breaks through the limitations of previous system tools that focused only on single-point processes, which means you now work with intelligent agent clusters that give your manufacturing systems both a “brain” and “hands.” The “brain” comes from BOE’s advanced AI model - "BOE's Blue Whale AI Model", which understands complex data and make smart decisions. The “hands” are the specialized vertical AI tools that carry out various tasks in a factory.

You can rely on AI to analyze data from every part of the production line. The system spots problems before they grow and suggests the best solutions. You see how automation and optimization work together to make your job easier and your results better.

By using intelligent agent clusters, you lead the way in AI in manufacturing. You set new standards for quality, efficiency, and sustainability. You show how the right mix of AI, data, and automation can transform manufacturing processes and help your business grow.

Decoding the “Brain That Knows the Display Industry Best” — The "BOE Blue Whale AI Model"

Core Features and Capabilities

You interact with the BOE Blue Whale Display AI Model when you use advanced ai in manufacturing. This model acts as the “brain” for your production systems. It understands the unique needs of the display industry better than any other tool. You see how it combines language, images, and sensor data to make smart decisions. This means you get faster problem-solving and better results.

The Blue Whale Display AI Model stands out because it has 4 distinct characteristics:

• Full-Modal Understanding: Proficient not only in text but deeply integrated with the understanding and generation capabilities for multimodal information unique to the display industry, such as images, videos, spectral data, and sensor signals.

• Multi-Scenario Adaptation: Its training data and algorithm design cover the entire manufacturing process (materials R&D, array, cell, module, etc.) as well as innovation and operational scenarios like product design and market analysis, endowing it with strong scenario generalization capabilities.

• High-Precision Output: The display industry has extremely stringent precision requirements (e.g., sub-pixel level for defect recognition, millisecond level for process parameter control). Through training on high-quality professional datasets, the Blue Whale Large Model ensures outputs meet industry-grade precision standards.

• Strong Reasoning Ability: Possesses strong cross-modal reasoning capabilities. It can correlatively analyze "production problems described in language" with "defect images presented visually" to trace root causes, or infer new technical requirements for upstream materials based on descriptions of market trends.

You notice that this model helps you improve efficiency and quality. It supports you in every step of the manufacturing process, from design to delivery. You can trust its recommendations because it uses real data from your factory. This makes your work easier and your products better.

The Blue Whale Display Model gives you a smart partner for every challenge in the manufacturing industry.
(Source: BOE Official News Release, 2025-12-15)

Foundational Support

You rely on a strong foundation to make the Blue Whale Display Model work. First, you use high-quality data collected from years of manufacturing processes. This data includes machine settings, defect images, and user feedback. You also have access to a powerful computing platform that handles large amounts of information quickly.

BOE’s system keeps your data safe and your ai tools secure. You benefit from a full safety system that protects your information and keeps your production running smoothly. This support lets you focus on optimization and automation instead of worrying about risks.

Here’s a quick look at what supports the Blue Whale Display Model:

• High-Quality Dataset: Accumulated massive, high-quality, cross-domain exclusive display industry data, including process parameters, defect patterns, material properties, user interaction data, etc. This is an advantage unattainable by general-purpose large models.

• High-Performance AI Computing Platform: Built a dedicated AI computing platform supporting large model training and inference, providing sufficient computing power.

• End-to-End AI Security System: Ensures data security, model security, and application security, clearing obstacles for deploying agents in critical production links.

BOE's Intelligent Agent Clusters are not castles in the air; they have been rapidly implemented in its three core business segments—production & manufacturing, product innovation, and enterprise operations—translating into significant efficiency gains.

Real Case 1: AI Factory Transforming Production & Manufacturing

BOE has taken the lead in the display industry to define a new AI Factory paradigm. The core of this definition lies in using next-generation AI technology to drive the native intelligent transformation of all production elements, aiming for the ultimate optimization of comprehensive operational efficiency.

Defect Management Agent (ADM Agent)

In the semiconductor display industry, product defect management is directly related to yield and cost. Traditional methods rely on manual sampling and empirical judgment, which are inefficient and prone to missed detection. With BOE Defect Management Agent, you see how it changes the way to handle quality in manufacturing. ADM uses AI to scan every product on the line. It spots defects in real-time, so you do not have to rely on slow, manual checks. The system uses data from sensors and cameras to find even the smallest issues. When a defect appears, the agent suggests the best way to fix it or sends instructions to automated repair tools. This process helps you reduce waste and improve the quality of every item you produce.

• Application Scenario: The ADM Agent constructs a complete closed loop from defect data collection, defect detection, and assisted repair dispatch to automatic defect repair (Source: BOE Official Press Release).

• Workflow: Agents equipped with high-precision vision sensors scan panels in real-time. The Blue Whale Large Model analyzes massive amounts of images at millisecond speed, accurately classifying defect types (e.g., bright spots, dark spots, scratches). Subsequently, the agent can not only automatically alarm but also generate repair plans and guide or control repair equipment for precise correction, shortening a process that previously could take hours of manual troubleshooting and repair to minutes.

Yield Management Agents (AYM Agent)

Yield is the lifeline of display panel manufacturers, typically needing to be maintained at extremely high levels (e.g., above 99.9%). The causes of yield fluctuations are complex, involving hundreds of processes and thousands of parameters.You can use BOE Yield Management Agent to keep your production output high. AYM monitors and analyzes every step of your manufacturing processes. It gives you real-time insights, so you can spot bottlenecks and wasted time. You make quick changes to keep everything running smoothly.

• Application Scenario: The AYM Agent connects the entire quality management chain from non-conformity identification, alerting, root cause analysis to improvement monitoring (Source: BOE Official Press Release).

• Core Value: When abnormal yield fluctuations occur in a certain link, the AYM Agent can quickly correlate and analyze all related process data, equipment status data, and environmental data. Leveraging the strong reasoning ability of the large model, it rapidly locates the root cause (e.g., possibly a temperature sensor drift in a specific chamber causing uneven coating) and automatically pushes improvement suggestions, monitoring the effectiveness post-implementation to form a management closed loop. This significantly improves the efficiency of non-conformity analysis and handling, helping to keep yields consistently stable at high levels.

Real Caes 2: AI-Driven Product Innovation

BOE is constructing an AI-driven multi-mode product innovation path based on "Component – Complete Device – System – Scenario," empowering various scenarios such as work, home, education, entertainment, and healthcare.

Creative Work and Design Agents: BOE Office Agent and AI Sketchpad

You now have powerful tools for creative work. The BOE Office Agent and AI Sketchpad help you turn ideas into real products. You describe your vision, and the AI understands your words or sketches. The system uses data from past projects to suggest new designs. You can see different concepts in seconds. This makes your design process faster and more flexible.

• BOE Office Agent: Provides you with "an efficient collaborative creative work solution." It can understand designers' verbal descriptions or sketch concepts, call upon the large model's text-to-image, style transfer, and other functions to quickly generate multiple design concept images, breaking through traditional creative boundaries.

• AI Sketchbook: The newly launched AI Sketchbook features leading natural writing technology (Source: BOE Official Press Release). It not only enables high-precision creative sketch drawing and seamless, fast transmission to other devices but, more importantly, employs BOE's unique AI handwriting technology. This technology intelligently recognizes pen pressure, speed, and angle, reproducing realistic and aesthetically pleasing handwriting effects on the screen, allowing digital creation to combine efficiency with artistic expression. Paired with a high-precision stylus, it enables more accurate and vivid creative expression.

Tip: Use these agents to boost your creativity and save time on routine tasks.

Immersive Experience Solutions: 18-inch Naked-Eye 3D Laptop and AI Design System

• 18-inch Glasses-Free 3D Laptop: Integrates self-developed AI technologies such as eye-tracking and dynamic interleaving. The front camera tracks the your eye position in real-time, and AI algorithms dynamically adjust the light emission direction of screen pixels to generate images matching the binocular parallax, achieving an immersive 3D experience without any auxiliary glasses. This brings revolutionary interactive possibilities to scenarios like education, medical simulation, and advanced entertainment.

• Premier AI Design System: Integrates functions like text-to-image, precise line art control, and 2D to glasses-free 3D rendering. Industrial designers simply input concept descriptions or simple sketches, and the system can generate high-quality product renderings, even directly producing glasses-free 3D models for evaluation, greatly shortening the cycle from concept to visual verification and infusing intelligent momentum into industrial design.

Here you experience new ways to interact with technology. The 18-inch naked-eye 3D laptop lets you see 3D images without wearing glasses, making your learning, gaming, and design more exciting. The AI Design System helps you turn simple sketches into 3D models.

Real Case 3: Smart Enterprise Operations with AI

BOE is promoting a systemic upgrade of its enterprise management paradigm towards data-driven, intelligent decision-making through a series of management vertical-domain agents.

AI Market Insight Agents

• Function: Capable of automatically scanning global industry news, academic papers, patent trends, market reports, social media trends, and other multi-source information 24/7.

• Value: Leverages the analysis and summarization capabilities of the Blue Whale AI Model to automatically generate in-depth analytical reports, accurately extracting technology trends, competitor dynamics, and potential market opportunities. This provides timely and comprehensive data support for the company's strategic planning and R&D investment direction, liberating market researchers from heavy information gathering and consolidation work.

You use AI market insight agents to transform how you analyze markets and make decisions in manufacturing. These agents process large amounts of data from news, reports, and social media. You receive real-time updates on trends and risks.

AI systems speed up your work. You process information much faster than before. You see operational efficiency gains great improvement. Compliance review times drop by 45%. These improvements help you react quickly to changes in the market and keep your manufacturing business ahead of the competition.

AI Financial Service Agents

• Function: Embedded within financial shared services and business process systems, providing round-the-clock support for intelligent document review, financial policy Q&A, compliance checks, etc. .

• Value: In employee expense reimbursement, the agent can automatically verify invoice authenticity, check reimbursement policies, verify budget balances, and preemptively flag compliance risks. It can also answer various employee questions about financial policies in natural language interaction. This not only significantly improves financial operational efficiency, reduces human error and compliance risks, but also provides a more convenient employee service experience.

You rely on AI financial service agents to manage your company’s finances and risks. These agents monitor transactions, check for fraud, and support compliance. You see how AI-driven systems help detect investment fraud and improve risk management in manufacturing operations.

AI financial service agents also help you handle market volatility. They watch for unusual trading patterns and alert you to possible problems. You use these tools to protect your business from cyber threats and operational risks. By using AI, you keep your financial processes secure and efficient.

AI in manufacturing now supports not only production but also the business side. You use AI to analyze data, manage risks, and make better decisions every day.

BOE vs. Industry: AI in Manufacturing Leadership

Unique Advantages of BOE’s Approach

You see clear advantages when you use BOE’s approach to AI in manufacturing. BOE invests heavily in research and development. Over three years, the company has spent ¥50 billion ($7 billion) to push the boundaries of ai and manufacturing. You benefit from systems that focus on cognitive abilities and user needs, not just hardware. BOE acts as an ecosystem enabler, helping you connect with partners and new technologies. You also get access to agentic ai and immersive cockpit design, which go beyond traditional hardware solutions.

Here is a comparison that shows how BOE stands out:

You notice that BOE’s integration of domain knowledge and multi-agent systems sets you apart from others in the industry. These features help you solve complex problems and improve every step of your manufacturing process.

Industry Trends and Comparisons

You see many trends shaping the future of manufacturing. Companies now use AI models designed for specific industries. BOE leads with a large-scale ai model built for the display industry. This model helps you improve research, development, and production. You use ADM to find and fix problems quickly. AYM helps you keep your production running smoothly and increase product quality.

Here are some key innovations:

• Integration of ai into manufacturing for better sustainability.

• Reduction of OLED power consumption by 20% using hardware-level algorithms.

• Use of advanced ai to boost energy efficiency and profitability.

You notice that BOE’s financial performance has improved because of these innovations. The company’s use of advanced algorithms not only saves energy but also increases profits. You see how BOE’s leadership in ai-driven manufacturing sets a new standard for the industry.

Future of AI in Manufacturing at BOE

Scaling Intelligent Agent Clusters

You will see BOE continue to scale its intelligent agent clusters across more manufacturing sites. These clusters use ai to analyze data from machines, sensors, and production lines. You get faster feedback and smarter solutions for every step in your process. As BOE expands, you will notice more agents working together to solve problems and optimize production. This teamwork helps you reach higher levels of efficiency and quality.

BOE plans to connect intelligent agent clusters with big data analytics and the Internet of Things. You will use ai to monitor equipment, predict maintenance needs, and improve safety. The system will learn from each process and share insights across the network. You will benefit from real-time updates and automatic adjustments that keep your manufacturing running smoothly.

Tip: When you use intelligent agent clusters, you unlock new ways to improve your production and reduce waste.

Expanding Industry Impact

You will see BOE’s AI in manufacturing reach beyond its own factories. The company aims to build a smart ecosystem with partners around the world. You will work with global leaders to create sustainable solutions that add value for customers everywhere. BOE and H3C will expand their collaboration to lead the industry into a new era of digitalization and intelligence.

BOE’s vision includes:

• Deeper integration of ai with environmentally friendly technologies.

• Partnerships that support smart manufacturing and digital transformation.

• Sharing data and best practices to help other companies improve their processes.

You will help shape the future of the “Screen of Things” era. As more companies join the ecosystem, you will see new products and smarter ways to use ai in manufacturing. You will play a key role in building a connected, efficient, and sustainable industry.

You will see ongoing innovation as BOE continues to invest in ai and data-driven manufacturing. The future promises smarter factories, better products, and a stronger global network.

You see how BOE’s Intelligent Agent Clusters and AI Factory set new standards for ai in manufacturing. You benefit from smarter production, higher quality, and lower costs. You lead the industry with advanced ai systems and strong partnerships. You help shape the future by using ai to drive innovation and sustainability. You will continue to see new opportunities as ai transforms manufacturing.

Learn more about BOE’s ai advancements in manufacturing from BOE Official News Release, 2025-12-15.

FAQ

What is an intelligent agent cluster in manufacturing?

You use intelligent agent clusters to connect AI models with specialized agents. These agents work together to analyze data, make decisions, and control machines. You see faster production and better quality.

Learn more: BOE Official News Release, 2025-12-15

How does BOE’s AI Factory improve product quality?

You rely on AI Factory systems to spot defects early and suggest repairs. These systems use real-time data to keep quality high and reduce waste.

• Fewer defects

• Faster fixes

Can you use BOE’s AI solutions in other industries?

You can adapt BOE’s AI solutions for many industries. These systems work with manufacturing, healthcare, and smart devices. You benefit from flexible technology that fits your needs.

What are the main benefits of using AI in manufacturing?

You gain higher efficiency, lower costs, and improved safety. AI helps you predict problems, optimize production, and manage resources.

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