REAL Partners with RWA Inc. to Accelerate Tokenized Asset Infrastructure

TheNewsCryptoОпубликовано 2026-04-24Обновлено 2026-04-24

Введение

REAL has entered into a strategic partnership with RWA Inc., a global platform specializing in real-world asset (RWA) tokenization, investor access, and Web3 growth infrastructure. The collaboration aims to build a more robust and scalable blockchain-based financing infrastructure. Together, they will explore how REAL’s RWA-focused Layer 1 blockchain can support tokenized asset issuances originated via RWA Inc., while improving investor onboarding, distribution, and post-issuance servicing. Key areas of cooperation include tokenized asset issuance, AI-powered automation, distribution channels, co-marketing initiatives, and the future use of AI in governance and financial workflows. The partnership seeks to create a more accessible, efficient, and scalable foundation for bringing real-world assets onto the blockchain.

REAL is pleased to announce that it has entered into a strategic agreement with RWA Inc., a worldwide platform that focuses on the tokenization of real-world assets, investor access, and Web3 growth infrastructure.

The purpose of this partnership is to bring together two teams that are oriented around a same objective, which is for building a more robust infrastructure for the next generation of financing on blockchain. As part of the agreement, REAL and RWA Inc. will investigate the ways in which REAL’s Layer 1 blockchain, which is focused on RWA, might support certain tokenized asset issuances that originate via RWA Inc., while also improving investor onboarding, asset distribution, and post-issuance lifecycle support.

As the market for tokenized real-world assets continues to gather speed, it is becoming more necessary for the market to have infrastructure that is not just scalable, but also purpose-built for issuance, investor access, servicing, and long-term asset management. In order to investigate just that, this cooperation was established.

Tokenized asset issuance on REAL, investor onboarding and access infrastructure, distribution channels for tokenized RWAs, post-issuance reporting and servicing, AI-powered growth, automation, and campaign support, co-marketing initiatives around RWA adoption and REAL’s upcoming token generation event, and future exploration of agentic AI in governance, validation, and financial workflows are some of the topics that REAL and RWA Inc. will investigate together.

In the areas of tokenization strategy, launch assistance, artificial intelligence automation, and investor-facing infrastructure, RWA Inc. adds their extensive knowledge. REAL provides a Layer 1 that has been purpose-built and is intended exclusively for the tokenization, trading, and administration of assets that exist in the real world.

The goal of the two teams working together is to provide a foundation that is more easily accessible, more efficient, and more scalable for moving real-world assets onto the blockchain.

Through this agreement, REAL is demonstrating its continuous commitment to collaborating with ecosystem actors that are aligned with its goals and who are able to assist in accelerating adoption, expanding infrastructure, and supporting the wider growth of tokenized finance.

REAL is a Layer 1 blockchain that was developed specifically for the purpose of tokenization, trading, and administration of assets that exist in the real world. Developed with the intention of facilitating institutional-grade blockchain financing, REAL is in the process of building infrastructure for asset issuance, access, and lifecycle management within an ecosystem that is both scalable and efficient.

RWA Inc. is a worldwide platform that focuses on the tokenization of real-world assets, investor access, and Web3 growth infrastructure. Its mission is to assist projects and issuers in connecting tokenized prospects with wider market involvement.

TagsAltcoinBlockchain

Связанные с этим вопросы

QWhat is the main purpose of the strategic partnership between REAL and RWA Inc.?

AThe main purpose is to build a more robust infrastructure for the next generation of blockchain financing by combining REAL's RWA-focused Layer 1 blockchain with RWA Inc.'s platform for tokenization and investor access.

QWhat specific areas of collaboration will REAL and RWA Inc. investigate together?

AThey will investigate tokenized asset issuance on REAL, investor onboarding infrastructure, distribution channels for tokenized RWAs, post-issuance reporting and servicing, AI-powered growth and automation, co-marketing initiatives, and future exploration of agentic AI in governance and financial workflows.

QWhat unique expertise does RWA Inc. bring to this partnership?

ARWA Inc. brings extensive knowledge in the areas of tokenization strategy, launch assistance, artificial intelligence automation, and investor-facing infrastructure.

QWhat is the primary function of the REAL blockchain?

AREAL is a Layer 1 blockchain that was specifically developed for the tokenization, trading, and administration of real-world assets, with the intention of facilitating institutional-grade blockchain financing.

QWhat is the goal of combining the efforts of the two teams?

AThe goal is to provide a foundation that is more easily accessible, efficient, and scalable for moving real-world assets onto the blockchain.

Похожее

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit30 мин. назад

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit30 мин. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit40 мин. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit40 мин. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 ч. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2 ч. назад

Token Inefficient, Economy Tokenless

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片