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The Role of ERC-3643 in Real World Assets (RWA) Tokenization

Miłosz Mach

12 Jan 2024
The Role of ERC-3643 in Real World Assets (RWA) Tokenization

Historically, the conversion of assets from physical to digital formats has been fraught with regulatory ambiguities and burdensome accessibility for micro-investors. Until recently, technological limitations and a lack of operational legal clarity have hindered the effectiveness of tokenization. The development of ERC-3643 represents a complex yet essential endeavor, traversing practices array while maintaining strict mandates across jurisdictions. Overcoming these barriers seems to have been the driving force behind the creators from the start. Thereupon, we invite you to acquire an impact of ERC-3643 on the RWA tokenization with us!

Table of Contents

Redefining RWA Tokenization with ERC-3643

Source: ERC-3643 Association

Diversification: The ERC-3643 standard assigns on-chain representation of broad resources ointment. This involves issuing digital tokens that stand as physical product quantity, value, and profit shares.

Exposure: A fractional ownership feature embedded into the token lowers an entry barrier while supplying more liquidity into the market and attracting less affluent individuals.

Transfer: The process of rights ownership and transfers has been formed into a permission-need framework.

Innovation: ERC-3643 tokens can be structured in the form of a basket of commodities, involving different market segments. Additionally, the protocol enables the creation of commodity-backed stablecoins, providing a lower-risk investment option.

Regulatory Versatility: Programmable token functions, multi-layered access controls, compliance checks, automated reporting, and other security mechanisms - these all prioritize alignment with both current and future regulations.

Find out the RWA definition & examples - we've it covered extensively here!

Read more!

Integration of ERC-3643 into Global Supply Chains

Traceability: By tokenizing single products or batches, companies can track the journey of items in real time, from manufacturing to delivery. Undoubtedly, this level of validation is crucial for preventing counterfeits and ensuring item quality. 

Automation: ERC-3643 optimizes many supply chain processes including settlements and legal compliance checks. It reduces the need for intermediaries and cuts down project operational costs. Also, minimizes the risk of human error.

Storage Management: A more accurate and real-time view of inventory levels. Tokenization makes it easier to track stock movements and predict supply needs, leading to reduced wastage.

Cross-Border Orders: ERC-3643 may straightforward international transactions by providing a unified system for shipment tracking. This could help in reducing delays caused by customs checks and documentation.

Consumers' confidence: The legitimacy offered by ERC-3643 builds greater trust in brands, in particular, where authenticity and ethical sourcing are paramount.

Integration with IoT and AI: IoT devices can feed real-time data into the blockchain network, so AI analyzes these, which eventually leads to more informed decision-making. 

Security: ERC-3643 token metadata is protected against tampering and unauthorized access, especially due to advanced permissions and restriction features.

ERC-3643 and the World of Art

Revenue Streams: Artists, by selling divided, more affordable fractions of their compositions, generate income while retaining a portion of their creative capital. In regards, enthusiasts who were previously priced out of the market are now fully entitled to participate in this highly valued sector.

Authenticity: One of the perennial industry challenges was to maintain artwork's provenance and genuineness. ERC-3643 embeds more detailed information into the token. This blockchain-based approach ensures a tamper-proof record and appropriate infrastructure for copyright management.

Art Curations: ERC-3643 facilitates innovative exhibition possibilities. Galleries and museums, acting as halls of art, could tokenize or create virtual collections, meanwhile, spreading creator contributions to a global audience.

ERC-3643 Transforms Intangible Assets Offerings

Democratization: ERC-3643 enables the tokenization of IP and patents, also partial, so that inventors monetize licensing or commercialization of the rights in the form of tokens.

Distribution: Smart contracts can be programmed to automatically grant licenses and distribute royalties to token holders whenever the IP is used commercially. This reduces administrative overhead and ensures fair and timely payments to rights holders.

Auditability: ERC-3643 provides unparalleled simplicity in intellectual property trading. It also concerns applications, approvals, and transfers of patents. Immutable transaction statements with protocol security measures prevent disputes over rights ownership and utilization.

Collaboration: The standard facilitates new forms of joint ventures in IP development. Multiple parties can hold stakes in a paten, sharing risks, rewards more equitably, and so on. Spur innovations and continuous refinements motivate ERC-3643 principles then.

AI and ERC-3643 Join Together

Tokenization: Artificial Intelligence raises huge concerns about the authenticity and origin of content. The potential for misuse, such as deepfakes or falsified data, poses risks to publicly accessible information and makes the verification more essential than ever. ERC-3643 standard introduced by Tokeny, leverages a framework that can be instrumental in the AI-generated matter distribution. Blockchain technology's inherent characteristics ensure every piece is traceable back to its source, distinguishing between genuine creations and violent disinformation. Tokenization of AI content via ERC-3643 involves assigning a unique digital token, acting as a digital certificate. Each one contains metadata e.g. creation date, provenance, and any modifications made. ERC-3643's smart contract capabilities can also be programmed in a way acknowledging that specific criteria have been met before proliferation.

Fox Corporation, a mass media production & distribution company, has recently unveiled a prototype of a new open-source protocol named Verify, which is developed on the Polygon network. Publishers register their content and ensure provenance, securely marking each piece with a cryptographic signature. Since ERC3643 tailors mostly for permission-needed transfers, restricted access features, and programmable token lifecycle management rules, its implementation might refine such tools' performance shortly.

Source: Polygon Technology

Symbiosis: Various issues around intellectual property rights management, and data privacy must be carefully considered. ERC-3643 provides a starting point for proposing a legal-adherent tokenization process. Looking ahead, it could become a standard tool for the reliable distribution of trusted and valued sources.

Unraveling the Potential of Tokenized Infrastructure Projects

Accessibility: Generally, infrastructure projects like bridges, highways, or renewable energy have been the domain of institutional investors or government entities due to the substantial capital requirements. ERC-3643 expands these investment opportunities permitting small-scale fractional investment in similar, lucrative initiatives.

Flexibility: Described rather as long-term investments, these projects characterize limited liquidity. Potential secondary markets, introduced through tokenization, could encourage retail investors to consider entering the market despite legacy large-cap requirements. 

Management: A decentralized ledger helps monitor progress, fund allocation, and project profitability.

Financing: Raising capital for infrastructure projects is often a cumbersome and expensive process. ERC-3643 offers wider access to a pool of investors through token sales breaking geographical boundaries and allowing for quicker venture initiation.

Revenue Models: ERC3643 allocates shared yields based on the project income generation and the token ratio owned by the investor, similar to energy sales in solar farms. This model concentrates investor returns and operation success, creating a mutually beneficial scenario.

Cross-jurisdictional Compliance: Given the heavily regulated nature of infrastructure projects, the legal adherence-oriented design of the standard is a key advantage. It ensures contribution to local and international frameworks concerning investments, ownership, and revenue distribution.

Healthcare Enhancements through ERC-3643 Implementation

Research Funding: ERC-3643 facilitates securing funds for medical research and development, thanks to tokenized bonds or tokens issued by clinical examination sponsors.

Facilities: Systematic improvements to the healthcare ecosystem can be accomplished by tokenizing medical equipment or entire centers using the T-REX protocol. 

Data management: Personal data, medical case records, and other sensitive information, in the age of increasing digitization, could be also stored on the blockchain. Ethical aspects of their usage must be always obeyed. Relatedly, the ERC3643 smart contract, upon acquiring patient consent, would provide authorized access and seamless interaction between particular healthcare providers.

Regulations: The compliance-centric architecture of ERC-3643 targets legal integrity while respecting existing personal data processing practices. 

Conclusion

The implementation of ERC3643, as we've seen, extends far beyond the traditional financial instruments. The standard offers a blueprint for tokenizing assets that were once considered challenging.  The capability of ERC3643 to ensure regulatory adherence, coupled with its flexibility and scalability, marks it as an indispensable tool in modern asset management where the boundaries of asset ownership, accessibility, transfer, and utilization are being respected.

If you are interested in utilizing ERC-3643 or other blockchain-based solutions for your project, please reach out to contact@nextrope.com

How does ERC-3643 impact supply chains and art world?

  • ERC-3643 enhances supply chain traceability, automates processes, boosts consumer confidence, and enables fractional ownership in the art world, ensuring authenticity and provenance verification.

What benefits does ERC-3643 offer for intellectual property and infrastructure projects?

  • ERC-3643 facilitates IP tokenization, simplifies revenue distribution, and fosters collaboration. In infrastructure, it broadens investment opportunities, improves project management, and ensures regulatory compliance.

How does ERC-3643 contribute to healthcare and AI integration?

  • ERC-3643 secures funding for medical research, enhances facility management, and ensures data security in healthcare. It also aids AI content verification, ensuring authenticity and origin tracking.

Why is ERC-3643 significant for asset management?

  • ERC-3643 ensures regulatory compliance, offers flexibility and scalability, and provides a framework for tokenizing challenging assets, making it essential in modern asset management.

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?
Table of Contents

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

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AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

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