Company’s tokenization step by step. 8 tips to help you get funding through Blockchain

Iwo Hachulski

06 Jul 2020
Company’s tokenization step by step. 8 tips to help you get funding through Blockchain

Tokenization, by the most popular definition a form of transforming the value of business into digital resources, evokes more and more interest among entrepreneurs. Tokenization may be particularly important for entities that are considering alternative paths to VC or Business Angel to obtain financing for the development of their companies. The post-pandemic crisis and the new reality faced by business founders may encourage them to delve deeper into the subject, especially in the context of scarce funds of traditional investors. The company's tokenization often provides an easier and quicker opportunity to raise funds for further investments. Is this a solution worth considering? Where to start in order to tokenize your business? In this article we present 8 steps to implement the whole process together with specific examples of the tokenized projects.

Preliminary analysis

Make a preliminary analysis to assess your company's financial needs. Specify what you want to raise money for. Identify your target group, competition and market and decide if it is prospective enough. Describe your business or product and consult it with blockchain experts. Answering the question - to whom your issue should be directed - will also allow you to undertake the first analyses related to a later marketing campaign.

Choice of the type of issue and legal form

An important issue is the choice of the type of blockchain tokenization and legal form of the issue. A number of solutions are available, including ICO (initial coin offering), STO (security token offering) and ETO (equity token offering). ICO does not guarantee any ownership rights to the token buyer, and the issue and purchase of the offered tokens can be done almost entirely anonymously. STO and ETO, on the other hand, secure the purchaser through legal solutions, thereby transferring shares in the form of the purchased token. Thanks to the verification of both companies and investors they provide greater security for each party. They are in a way hybrid solutions - a combination of cryptic ICOs with more traditional investment fundraising.

Token economy

The next step is to identify the so-called token economy, which defines the type of emission. It consists of a number of elements:

Define a target, minimum and maximum amount to be collected within the issue. It is important to have an understanding of economic law. Choose the appropriate jurisdiction or law firm that will guide you through the process of establishing a company and a bank account in a given country, taking into account specific administrative requirements. The Nextrope team cooperates with law firms specialising in this area, so you do not have to waste time looking for top-notch lawyers specialising in tokenization.

Decide in which currencies customers can buy tokens. Will they be just cryptic currencies (specify which ones) or will they also be traditional currencies? The most common solutions are ETH, BTC, USDC and USDT. Depending on your preferences, the implementation will be more or less time-consuming.

Companies often lend tokenization on their infrastructure as part of IEO (initial exchange offering). This approach is unfortunately very limited and is not suitable for more legally complicated solutions. The main obstacles for companies considering IEO tokenization are primarily:

- Sharing revenue with another revenue broker.

- Loss of potential to build their own community.

- Problems with handling sensitive data.

Decide within which model the tokens you emit will be functioning. Options include the standard ERC20 or the new ERC1400 format. The first one guarantees that the tokens will not differ from each other in any way. The second one makes the tokens non-fungible. Each of them is unique and marked with a serial number.

Determine the benefits of purchasing your tokens to buyers and how large the token circulation will be on the market.

Start cooperating with a tax and financial advisor, who will develop the most optimal financial constructions for you. At Nextrope we cooperate with many advisors and we will be happy to connect you with them.

KYC/AML

Take care of KYC (Know Your Customer) and AML (Anti-Money Laundering) processes. These are two key elements in the entire tokenization process. The first one is a legal procedure, obliging legal entities (in this case you) to identify their customers and obtain true and accurate information required to receive funds interested in your business. The second one means taking action to verify the origin of the funds received. It is important that the investor platform you plan to use is integrated with KYC and AML service providers. This is the case with solutions offered by Nextrope.

Your needs and expectations

Discuss with your team of specialists what range of services you need. At Nextrope, you can expect not only technological support, but also consultations and preparation of the strategy of the tokenization process. Your platform will be fully personalized for your needs and requirements in relation to the tokenization itself. You will receive a fully customized landing page and an extensive, personalized administrator panel. You will have access to all the statistics, data and KYC verification at your fingertips, in the most intuitive place.

Project's White Paper

Create a fully comprehensive White Paper of your project, based on the advice of the experts' team. Remember to describe the developed token economics in detail. If several dozen pages of the document is a challenge for you, the Nextrope business team is ready to take part in the process of writing the White Paper and help you describe all the most important features of the project.

Marketing Campaign

Once the technical part is ready, develop and start a marketing campaign. Take care of a responsible approach to marketing. Pay attention to the appropriate commission system designed for your customers. Create a loyalty system, withdrawing bonuses to users on the amount paid. Build, motivate and manage your community. Make sure that information about your issue is available on all ICO/STO/ETO listing sites. Participate in industry conferences and focus on publishing your own content and producing industry reports. Showcase the human side of the blockchain-based business by organizing live and video conferences in social media and collaborating with industry influencers.

Further development

Usually, after the issue of your tokens is completed, the monitoring by the team providing technological solutions will end. Do not let this happen to you. Take care of the further development and long term development of your product as well as contact with the community - to continue to expand your business capabilities and resources. Good luck!

Nextrope.com is a software house focused on FinTech solutions market. Our team has already conducted over 10 tokenization processes, both in Poland and abroad. We are happy to help your company with tokenization using blockchain technology. Click here and tell us more about your project.

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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?

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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?

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