Amid the metaverse’s grand narrative, it has hit practical bottlenecks such as low user engagement, fragmented economic cycles, and lack of trust mechanisms—stagnating the release of value in the digital world. However, the emergence of AI Agent is breaking this deadlock: it serves as a key force connecting the virtual and physical realms, activating the economic vitality of the metaverse, and transforming the metaverse from a “superficial concept” into a new “autonomously collaborative” economic form.

Industry Pain Points of the Metaverse and the Key to Breaking the Deadlock

Current digital experiences face insurmountable obstacles:

• Users are plagued by information overload and subscription fatigue, forced to perform fragmented operations across dozens of platforms;
• Most metaverse economies are confined to closed platforms, where virtual assets lack liquidity and stability;
• Productivity growth is sluggish, with a large number of repetitive tasks consuming human resources.

The core cause of these pain points lies in the absence of an “intelligent core” capable of independent understanding, decision-making, and collaboration. The solution proposed by DBiM directly addresses this crux: taking AI Agent as the core driver to build an Autonomous Agent-Driven Metaverse Economy (AADME). Through a differentiated path prioritizing practicality and an open economy, it bridges the gap between the existing digital ecosystem and the future spatial Internet.

Metaverse AI OS: The Technical Foundation for Ecological Collaboration

To support and manage the vast AI Agent network and its complex interactions, DBiM is building a PaaS-level “DBiM Metaverse AI OS” — the intelligent hub and technical foundation of the entire ecosystem. Its core functions ensure the platform’s openness, scalability, and efficient collaboration:

• Standardized APIs and SDKs: Provide rich API interfaces and software development toolkits to significantly lower the development threshold for AI Agent applications and metaverse scenarios.
• Modular AI Capabilities: Embed or integrate core AI Agent capability modules (e.g., natural language processing, computer vision, reinforcement learning, knowledge graphs, emotion computing) for business units to call on demand—like providing diverse “skill packs” for AI Agents.
• Data Management and Analysis: Offer unified data access, storage, processing, and analysis services to support AI model training and business intelligence decisions, ensuring AI Agents have a strong foundation for “perception” and “learning.”
• Metaverse Infrastructure Services: Include distributed identity authentication, virtual asset management interfaces (integratable with blockchains), scenario rendering and physics engine support, and cross-platform communication protocols—providing underlying support for the stable operation of the metaverse.
• Scalability and High Availability: Adopt cloud-native architectures such as microservices and containerization to dynamically scale and handle high concurrency, while ensuring stable and reliable services.
• Security and Compliance: Build robust security protection systems and privacy preservation mechanisms to ensure data security and compliance with regional regulatory requirements—creating a trustworthy environment for users and enterprises.

Beyond being a technical platform, DBiM Metaverse AI OS is the core guarantee for the “autonomous collaborative economic service effect.” It enables smooth interaction between Agents from different sources by unifying AI Agent communication languages, data formats, and API standards. Additionally, it includes a capability registration and discovery mechanism: AI Agent capabilities from various business units can be registered in the OS, and other Agents can find and call the required capabilities through the OS’s service discovery system—realizing “intelligent interconnection” between AI Agents.

Supported by the OS, AI Agents from different business modules and those representing users can go beyond simple information transmission to achieve autonomous perception, intelligent decision-making, dynamic negotiation, and collaborative action based on common goals or complementary needs. This collaboration drives macro-level value enhancement (1+1>2) and innovation opportunities, such as:

• Cross-module service integration: If a user’s gaming AI Agent finds a high-value item in the virtual goods trading market but lacks funds, it can independently call the user’s personal financial AI Agent to evaluate and apply for a small “virtual asset mortgage loan” or “installment payment” service. After a successful transaction, the user’s social AI Agent may share this achievement in fan groups or gaming communities (based on user settings), potentially triggering other users’ purchasing or financial service needs.
• Data-driven hyper-personalized services: With user authorization and privacy protection, the user’s behavioral preference data across scenarios (gaming, shopping, socializing, finance) can be integrated and analyzed at the DBiM Metaverse AI OS level. This forms a more accurate, dynamic, and multi-dimensional user profile than a single platform—enabling truly “one-size-fits-one” hyper-personalized service recommendations.

Diversified Business Scenario Implementation Driven by AI Agent

DBiM’s business model revolves around the core capabilities of AI Agent, aiming to build a self-reinforcing aggregator platform. It creates value by organizing and simplifying access to the vast, fragmented existing digital service ecosystem—rather than merely producing all services itself. AI Agent plays a central role in this value creation and distribution chain:

1. “Intelligent Production and Trading” of Virtual Goods and Services

As a leader in overseas virtual goods trading in Asia, DBiM embeds AI Agent throughout the virtual goods service process:

• Intelligent product selection and market analysis: AI identifies market opportunities and predicts trends more efficiently—using natural language processing to analyze social media and online forums, track virtual goods prices, and optimize product portfolios and pricing strategies.
• Automated marketing and customer outreach: AI analyzes customer behavior data to generate personalized marketing campaigns (e.g., notification pushes, content promotions, ads) — improving marketing conversion rates and customer acquisition efficiency.
• 24/7 intelligent customer service: AI Agent provides round-the-clock online services to quickly respond to customer inquiries (e.g., account queries, service recommendations, order status) and offers customized services based on customer data analysis—enhancing the customer experience.
• Efficient order processing and logistics: AI Agent automatically processes order information and intelligently routes orders to suppliers with the best delivery capabilities—ensuring virtual goods are delivered electronically in seconds.

2. “Intelligent Construction and Operation” of Metaverse Scenarios

DBiM is actively expanding into metaverse scenario construction services to help enterprises migrate offline activities to the metaverse. Its DBiM.com SaaS platform (launched in September 2024) integrates AI Agent R&D and training services:

• AI Agent acts as a “digital assistant” — serving as a virtual customer service representative in virtual exhibition halls to interact with participants and even assist with orders.
• Behind the scenes, AI Agent optimizes live e-commerce supply chain management, including intelligent product selection, demand forecasting, inventory management, and dynamic pricing.

3. “Intelligent Empowerment” of Enterprise Services

Through strategic integration, DBiM has introduced AI Agent-enabled B2B digital trade service companies and live e-commerce supply chain service companies. AI Agent penetrates deep into key links:

• Market analysis and business opportunity discovery: Provide intelligent B2B digital trade solutions for enterprises.
• Cross-border trade process automation: Handle documents, logistics tracking, supply chain collaboration, and optimization.
• Live e-commerce optimization: Support intelligent product selection, demand forecasting, inventory management, dynamic pricing, and even virtual host interactions.
• Customized AI Agent services: Based on the Model Context Protocol, customize AI Agents for customers’ specific virtual environments—connecting their existing business systems and knowledge bases to improve operational efficiency and cost management. These Agents can automatically create e-commerce task workflows, manage product shelves, and produce content (e.g., drafting articles, generating images/videos, posting marketing materials on social platforms, and engaging with users).

4. “Digital Arteries” of Financial Services

The Metaverse Economic and Financial Service Company is the “central bank” and “financial artery” of the entire AADME. It provides metaverse payment and settlement (supporting multiple virtual currencies and fiat currency interfaces), trade activity certification, AI Agent-assisted personal stock trading tools, and supply chain financial services for enterprises and individuals. Here, AI Agent acts as a “risk guardian” and “intelligent analyst” — collaborating on fraud detection, credit evaluation, and identification of market manipulation to ensure the smooth flow of economic activities and a closed value loop.

5. “Intelligent Connection” of Emotional Value and Social Interaction

DBiM has introduced companies that use AI Agent to empower idols to create digital avatars, providing fans with emotional value and social services. This leverages AI Agent technology to build highly intelligent, emotionally interactive digital avatars for idols or KOLs—offering fans personalized companionship, interaction, and emotional support. Beyond enhancing user stickiness and emotional connections through strong social elements and fan economy, this explores AI’s application in emotional computing and personalized social interaction. These digital avatars can also serve as important IP resources in the metaverse, participating in various business activities such as gaming and e-commerce.

DBiM’s Three-Stage Evolution: Toward the Spatial Internet

DBiM’s grand blueprint is not an overnight “castle in the air,” but a carefully designed three-stage phased evolution strategy—aimed at ultimately realizing an open, interconnected, and economically active spatial Internet:

Phase 1: Intelligent Navigation (Current)

The core goal is to solve digital friction in the Web 2.0 era. DBiM deploys AI Agents driven by the LAM/VLA architecture, which act as users’ “life companions” to simplify and automate tasks in the existing Web 2.0 application ecosystem (e.g., travel planning, subscription management). The key outcome of this phase is achieving high user adoption and engagement—turning AI Agent from a “non-essential” tool into an “indispensable” daily application.

Phase 2: Economic Interoperability

Building on the user base accumulated in the Intelligent Navigation phase, DBiM will establish a frictionless economic layer. By launching the Dubin Stablecoin, it enables seamless asset exchange between different digital services. The introduction of the stablecoin will lock in the ecosystem, open up new revenue streams, ensure free value flow in the metaverse, and lay a solid foundation for future business models.

Phase 3: Curated Cultural Experiences

With a solid foundation of practicality and economy, DBiM will gradually introduce purpose-specific virtual activities to foster community and cultural engagement. These activities may include limited-ticket virtual concerts, interactive marketing events with brand partners, and community gatherings. This “start small” strategy minimizes upfront investment and risk—allowing DBiM to test user engagement, refine virtual activity technology, and build communities organically before investing in larger-scale projects.

Pioneering a New Era of Digital Economy

DBiM’s business model, with AI Agent as the core driver and “DBiM Metaverse AI OS” as the support, is building an unprecedented “autonomous collaborative economic service platform” through strategic integration of diversified business scenarios. AI Agent is not only the “digital labor” and “intelligent butler” in the metaverse but also the key force connecting the virtual and physical worlds and unlocking the potential of data and intelligence.

As AI Agent is widely adopted and DBiM’s platform ecosystem becomes fully open, we can even envision potential integration with future governance models such as Decentralized Autonomous Organizations (DAOs)—allowing communities and AI Agents to jointly participate in the governance and development of the metaverse, further enhancing its autonomy and fairness.

This journey is full of challenges but also holds enormous opportunities to define the future. DBiM will continue to lead technological trends, becoming one of the core engines and standard-setters driving the global metaverse economy—ensuring that every individual and organization can benefit from the intelligent metaverse era. What DBiM is building is not just a technical platform, but a solid bridge to the next generation of digital civilization.