-- Amid the current wave of digital transformation, the cultural and tourism (culture–tourism) industry is undergoing a structural shift from traditional consumption models toward financial assetization. According to a MarketsandMarkets report, the global high-end tourism market reached USD 29.8 billion in 2024 and is projected to expand to USD 278.9 billion by 2035, with a compound annual growth rate (CAGR) of approximately 22.54%. Within this, hotel assets alone have an average annual tradable valuation exceeding USD 800 billion, yet digital penetration remains below 5%. In parallel, the rapid development of the real-world asset (RWA) sector is driving deep integration between blockchain technology and culture–tourism assets. As a leading player in this field, DREAM ASCEND has built a global culture–tourism financial ecosystem based on RWA and AI, reshaping the industry value chain and enabling low-threshold participation and shared returns from high-end assets for ordinary investors.
Founded in New York by Maria Luisa Agaton Rafael and backed by lead investor Chartres Fund, DREAM ASCEND is an international platform focused on the tokenization of culture–tourism assets. Leveraging blockchain-based ownership confirmation, smart contract–driven revenue distribution, and multi-chain issuance mechanisms, the platform transforms real estate assets—such as hotel room rights and income rights from tourism projects—into digital financial products that are verifiable, revenue-sharing, and tradable. DREAM ASCEND not only addresses challenges inherent in traditional culture–tourism investment, including high entry barriers, low liquidity, and opaque returns, but also provides compliant, secure, and scalable global infrastructure. It offers users a comprehensive experience encompassing asset ownership, governance participation, and inheritance mechanisms. As post-pandemic travel demand recovers and global asset allocation trends toward diversification, DREAM ASCEND is leading the culture–tourism industry into the Web3.0 era.
Origins and Development of DREAM ASCEND
The founder of DREAM ASCEND, Maria Luisa Agaton Rafael, is a senior expert in high-end media communications and brand value management. Through her long-term work with luxury brands, commercial real estate, and premium hotels, she recognized that while traditional media and distribution channels can enhance brand exposure, they are unable to unlock the inherent financial potential of culture–tourism assets. This insight laid the foundation for DREAM ASCEND in 2018, which gradually evolved into a global culture–tourism RWA financial platform.
The core team of DREAM ASCEND brings together global experts in RWA asset modeling, smart contract development, hotel operations management, AI-based valuation systems, and compliance and legal affairs. This multidisciplinary integration ensures the platform’s leadership in both technological and regulatory dimensions. DREAM ASCEND has completed registration as a U.S. Money Services Business (MSB) and is aligned with multiple regional compliance frameworks, including the EU’s MiCA and Virtual Asset Service Provider (VASP) regimes. All revenue settlement processes are traceable on-chain and data-auditable, forming a closed-loop mechanism of “on-chain clearing and settlement combined with legal structuring.”
Core Architecture
The core architecture of DREAM ASCEND is built on RWA and integrates AI, smart contracts, and multi-chain compatibility to form an efficient and secure culture–tourism financial protocol. Key features include RWA asset mapping with identity isolation, dynamic strategy binding, on-chain ownership confirmation with verifiable revenue sharing, cross-chain integration, and real-time settlement. Through decentralized identity (DID) and tokenization protocols, each hotel asset—such as room-night income rights—is mapped to an on-chain credential. Users subscribe via a one-time identity proxy, ensuring separation between investment actions and real-world identities, thereby achieving compliant privacy protection.
The DREAM ASCEND-AI intelligent trading system is a core technical module that employs a Dual-Relation Fusion Network to integrate short-term dynamics (such as occupancy fluctuations) and long-term static characteristics (such as operational metrics) of culture–tourism assets, enhancing revenue forecasting and dynamic allocation efficiency. The system constructs attention mechanisms based on high-frequency indicators—such as room-night transactions, occupancy rates, and user behavior—to capture short-term market disturbances, while incorporating static labels such as hotel ratings and location scores to anchor long-term value. Through cross-attention fusion, the system generates comprehensive evaluation outcomes that guide token revenue distribution and portfolio optimization.
Conclusion
Centered on culture–tourism RWA, the DREAM ASCEND ecosystem matrix connects users, institutions, and real-world assets to form a global culture–tourism financial network. It includes a cross-chain compatibility framework, AI strategy engine, on-chain room-night assets, and a compliant security system (DID + KYT + on-chain credentials). The ecosystem supports user consumption-based revenue sharing, hotel income-right financing, and RWA alliance collaborations, accommodates assets such as USDT, USDC, and wETH, and extends to scenarios involving OTAs, hotel groups, and tourism funds.
DREAM ASCEND is not merely a platform, but a global digital financial gateway for culture–tourism assets. It reshapes industry infrastructure and enables a paradigm shift from consumers to asset participants. Against the backdrop of expanding high-net-worth populations and upgraded travel demand, DREAM ASCEND—powered by RWA and AI—drives the sustainable growth of the culture–tourism sector. Looking ahead, as the ecosystem deepens, DREAM ASCEND will enable global users to share in the dividends of culture–tourism assets and usher in a new era of digital finance.
Contact Info:
Name: MARIA LUISA AGATON RAFAEL
Email: Send Email
Organization: DREAM ASCEND MEDIA LIMITED
Website: https://dabooking.com/
Release ID: 89182754
If there are any problems, discrepancies, or queries related to the content presented in this press release, we kindly ask that you notify us immediately at error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our responsive team will be available round-the-clock to address your concerns within 8 hours and take necessary actions to rectify any identified issues or support you with press release takedowns. Ensuring accurate and trustworthy information is our unwavering commitment.
