ERC-3643: A Closer Look at Its Applications

Miłosz Mach

09 Jan 2024
ERC-3643: A Closer Look at Its Applications

At Nextrope, we recognize the transformative impact of technologies such as ERC-3643. In this article, we highlight its applications in the burgeoning DeFi sector. The aim is to showcase the opportunities the standard brings, thereby increasing the efficiency of the global market.

ERC-3643 in Action

The advent of ERC-3643 has significant implications across multiple branches. This section highlights the potential it holds for each.

Find out how ERC-364 compares to other standards!

Financial Sector: Securities Furtherance

This standard frames the process of issuing, trading, and managing securities, providing a more transparent system. It opens up avenues for crowdfunding and democratizes access to investment seizing.

Project Overview

A global financial institution issuing securities sought to expand its trading framework, aiming for greater inclusivity.

Implementation

Leveraging ERC-3643, the entity tokenized its range of securities, including stocks and bonds. This improved the trading process, incorporated compliance mechanisms, and created opportunities for retail investors.

Outcome

The project was a milestone in financial democratization, easing nominal entry barriers. It spelled a change in the view of more accessible and secure financial assets trading.

Real Estate: Augmented Liquidity and Accessibility

ERC-3643 may supply liquidity into a traditionally illiquid market. Therefore, investors can buy and sell fractions of assets. This also simplifies the process of operating properties, reducing the transaction costs and bureaucratic hurdles associated with the dealings.

Project Overview

A real estate company willing to tokenize a portfolio of properties.

Implementation

The company issued digital tokens in the form of property shares. Each token embodied a portion value, enabling people worldwide to invest with smaller capital outlays.

Outcome

The project successfully extended access to real estate investments, previously a domain of high-net-worth individuals or institutional parties. It provided liquidity through secondary markets and ensured compliance with local and international regulations.

Art and Collectibles: Unlocking New Value

The world of collectibles is undergoing metamorphosis with ERC-3643. Artists digitize their artworks and enable them to be traded on blockchain platforms. ERC-3643 not only ensures authenticity but also allows for partial ownership, attracting previous audiences priced out of the market.

Project Overview

A gallery tokenizing rare artworks and increasing accessibility to a broader audience.

Implementation

Through ERC-3643, they were made available on-chain allowing the enthusiast to own and trade parts of high-value masterpieces.

Outcome

Token holders could trade on secondary markets, introducing a new dynamic to art valuation.

Intellectual Property and Patents

Creators often grapple with opaque licensing processes, and challenges in royalty distributions. Traditional methods hinder them from fully capitalizing on intellectual matter which predisposes ERC-3643 to becoming a pivotal player here. 

Project Overview

A technology company aimed to rethink the way patents are managed and monetized. 

Implementation

This involved creating digital tokens, optimizing the licensing, and royalty allocation process.

Outcome

The initiative advocates the author’s right management and activities related to know-how materialization. It enables transparent licensing, simplifies the commission splitment, and broadens accessibility enabling partial ownership for those interested.

Supply Chain and Logistics

In the supply chain, ERC-3643 can be utilized to empower provenance verification. Tokenizing allows for real-time tracking and auditability. This standard could facilitate smoother agreements between parties, leading to decreased operational time and cost of the transactions.

Project Overview

A multinational manufacturing company with a vision to refine supply chain procedures and further product traceability.

Implementation

The company issues ERC-3643 tokens linked to specific batches of products. Each one carries data with origin, manufacturing date, and logistic journey through the supply chain.

Outcome

This increases consumer trust and diminishes the risk of counterfeit goods entering the market.

Green Energy Projects

The renewable energy sector, particularly small-scale green projects, endures funding acquisition due to high initial costs and limited supply. This hinders sustainable energy solutions growth. 

Project Overview

A renewable energy startup planned to fund solar panel installations through tokenized investments.

Implementation

The participants received tokens that not only figured equity in the project but also entitled them to profits from energy sales depending on the token ratio owned.

Outcome

This approach facilitated crowd-sourced funding for sustainable energy initiatives, offering an opportunity to environmentally-conscious investors and promoting the development of green infrastructure.

ERC-3643's Role in Decentralized Finance

Known for crafting monetary ecosystems based on blockchain technology, decentralized finances benefit immensely from adopting ERC-3643. Below, we present some symbiotic examples.

Conducive Regulatory Environment

One of the fundamental contributions of ERC-3643 is the infusion of legal compliance into the decentralized finance sector. While DeFi thrives on the principles of openness and lack of central authority, specific jurisdiction-based law adherence has been a grey area. ERC-3643 pursues seamless KYC, AML integration, and advanced token control features within the token's smart contract. It simultaneously strengthens security and trust among institutional funds.

Broader Asset Tokenization

Beyond typical cryptocurrencies and NFTs, ERC-3643 diversification enriches the DeFi space unlocking new liquidity pools.

Optimized Operations

This includes faster and more cost-effective transactions. Thanks to its modular architecture, it simplifies the integration of new functionalities and services within platforms built on Ethereum.

Conclusion

ERC-3643 transcends being merely a technological leap. From transforming traditional finance to conquering new requisitions around myriad markets. A nexus, merging the rigor of regulations with cutting-edge solutions. As we conclude, it’s evident that the standard emergence signifies a shift between the old and the new, heralding a digital-forward future with endless possibilities.

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

FAQ

What is ERC-3643 and how does it change asset tokenization?

  • ERC-3643 is a blockchain standard streamlining Real World Asset (RWA) tokenization, overcoming regulatory hurdles, enabling fractional ownership, and enhancing transfer processes.

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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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

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?

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