At the center of the discussion lies the competition for electricity usage among miners and its potential impact on the hash power of the Bitcoin network.

Electricity Competition Between Artificial Intelligence and Bitcoin Mining

According to crypto trader Ran Neuner, the artificial intelligence sector has become one of the biggest competitors facing Bitcoin mining. Neuner points out that both sectors consume large amounts of electricity, but artificial intelligence data centers can generate significantly higher revenue from the same energy.

According to Neuner’s assessment, revenue per megawatt in Bitcoin mining ranges from approximately $57 to $129, while in artificial intelligence data centers this figure can reach $200 to $500 levels. It is stated that this difference is causing some miners to shift their operations toward the artificial intelligence side.

Some developments signaling this transition are also noteworthy. It is reported that Core Scientific has secured up to $1 billion in credit for artificial intelligence hosting services, MARA Holdings has filed an application indicating plans to sell a portion of its Bitcoin holdings as part of its artificial intelligence strategy, and Hut 8 has signed a $7 billion artificial intelligence infrastructure agreement with Google.

Network Security Debate

Neuner argues that miners leaving the network could lead to a decline in hash rate, which in theory could increase the risk of a 51% attack. Indeed, the total hash power of the Bitcoin network has declined by approximately 14.5% from its peak level reached in October.

However, there are also those who disagree with this view. According to Adam Back, one of Bitcoin’s early developers and a cryptographer, Bitcoin’s difficulty adjustment mechanism is designed precisely for such situations. Since mining difficulty adjusts automatically, while inefficient miners exit the system, the profitability of the remaining miners can increase.

Similarly, investor Fred Krueger states that in the event of rising electricity prices, some miners may temporarily halt operations, but mining can become profitable again following the difficulty adjustment.

Energy Usage and Alternative Views

Bitcoin ESG expert Daniel Batten approaches the discussion from a different perspective. According to Batten, data shows that the growth of the artificial intelligence sector is actually dependent on Bitcoin mining in some cases.

Batten argues that Bitcoin mining can utilize unused energy sources, act as a flexible load balancer in energy grids, and operate with cheaper energy sources.

Bitcoin Price Could Be Decisive

According to Ran Neuner, one of the most important factors determining whether miners will shift toward artificial intelligence will be the trajectory of Bitcoin’s price. In his view, a strong price rally could keep miners in the network.

Bitcoin’s price has recently gone through a challenging period, recording five consecutive months of declines. This situation was last seen during the bear market in 2018. Nevertheless, March has so far shown a positive picture, with Bitcoin’s price rising approximately 8% since the beginning of the month.

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post Is Artificial Intelligence Data Centers a Threat to Bitcoin Mining? appeared first on Coin Engineer.

Although the report spans only six pages, it includes a direct reference to cryptocurrencies and blockchain technology. This mention has been interpreted by many observers as an important indication that digital asset infrastructure is becoming part of broader national cybersecurity discussions.

Trump Cited Crypto and Blockchain as Secure Technologies

Within the strategy document, cryptocurrencies and blockchain systems are referenced as technologies whose security should be supported. The report highlights the need to develop secure technological frameworks and supply chains that protect user privacy from the earliest stages of design through full deployment.

Industry observers consider this reference notable because it places blockchain-based systems within the context of national security priorities. For many analysts, it signals that U.S. cybersecurity policy may increasingly recognize the importance of protecting digital financial infrastructure alongside other emerging technologies.

Strong Focus on Combating Illicit Financial Networks

Another section of the strategy emphasizes the need to dismantle criminal infrastructure and eliminate financial safe havens used by illicit networks. While the report does not specifically mention individual crypto tools or platforms, these statements have prompted discussion within the digital asset sector.

Some analysts believe the language could support stricter oversight of technologies that have been linked to financial anonymity. Services such as crypto mixing platforms, privacy-focused digital currencies, and unregulated financial off-ramps could potentially face greater scrutiny if authorities interpret the strategy in that direction.

As a result, the policy framework appears to balance technological support with stronger enforcement against illegal financial activity.

Quantum Computing Risks Enter the Discussion

The strategy also highlights concerns related to quantum computing, a topic that has been debated within the cryptocurrency community for years. Advances in quantum technology could eventually challenge current cryptographic systems, including those used in blockchain networks.

The growing attention to quantum capabilities suggests that governments are beginning to take potential long-term cybersecurity implications more seriously. Within the crypto sector, some investors have argued that large institutional holders may eventually demand faster progress in addressing these theoretical security risks.

Artificial Intelligence and the Future Cyber Workforce

Beyond digital assets, the strategy places strong emphasis on artificial intelligence as a key component of future cybersecurity infrastructure. Securing the AI technology stack, including data centers and computational systems, is presented as a major national priority.

The document also stresses the importance of developing the next generation of cybersecurity professionals. Expanding the cyber workforce is viewed as essential for designing and deploying advanced technological solutions capable of protecting national digital infrastructure.

Traditionally, U.S. administrations release a national cybersecurity framework during each presidential term to outline priorities related to emerging technologies. Trump’s strategy therefore provides insight into how the United States may approach cybersecurity challenges in an era increasingly defined by blockchain, artificial intelligence, and rapidly evolving digital threats.

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post Trump Announces National Cybersecurity Strategy appeared first on Coin Engineer.

According to the findings, Bitcoin accounted for 48.3% of total responses, making it the leading choice across all categories. The strongest result appeared in long-term purchasing power preservation scenarios. When models were asked which asset they would use to store value over multiple years, 79.1% selected Bitcoin—by far the most decisive outcome recorded in the research.

Stablecoins Lead in Payment Use Cases

Despite Bitcoin’s dominance in value storage scenarios, the results shift when the focus turns to transactional use. In cases involving everyday payments, services, micropayments, and cross-border transfers, stablecoins were favored more frequently. In these payment-oriented scenarios, 53.2% of responses chose stablecoins, compared to 36% for Bitcoin.

This divergence suggests that AI models conceptually separate store-of-value functions from medium-of-exchange functions. Stablecoins appear to benefit from price stability and operational efficiency in transactional contexts, whereas Bitcoin’s decentralized structure and resistance to censorship strengthen its appeal as a long-term savings vehicle.

Fiat Currency Largely Overlooked

One of the most notable findings was the minimal preference for traditional fiat currencies. None of the 36 models ranked fiat as their top overall monetary choice. Approximately 91% of all responses favored digitally native instruments, including Bitcoin, stablecoins, altcoins, tokenized real-world assets (RWAs), or other digital compute-based units.

This outcome points toward a strong bias in favor of digital monetary systems within the models’ decision frameworks.

Methodology and Limitations

The study was limited to 36 models across six providers, with plans to expand testing to additional systems in future iterations. Researchers also acknowledged that prompt framing may have influenced certain outcomes. For example, in a scenario involving earnings accumulated across multiple countries and a desire to avoid dependence on any single nation’s monetary policy or banking system, fiat currency would naturally be disadvantaged.

Importantly, these preferences do not necessarily reflect real-world adoption trends. Instead, they reveal patterns embedded in the training data used to develop the models. Provider-level results showed notable variation: Anthropic models averaged a 68% preference for Bitcoin, compared to 26% for OpenAI, 43% for Google, and 39% for xAI.

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post AI Agents Prefer Bitcoin! appeared first on Coin Engineer.

Its main goal is to make users’ product search, comparison, and purchase processes faster, more efficient, and more decentralized.

Core Problems Encountered in E-Commerce

Pulsebot AI’s point of origin is based on the structural problems experienced in online shopping. Today, users face the following challenges:

1. Excessive Product Options Hundreds of thousands of products listed on different platforms can overwhelm consumers in the decision-making process. Having dozens of alternatives in the same category often makes selection more complicated rather than easier.
2. Lack of Assistance Users usually have to navigate manually between search engine results. Clicking on product links one by one, comparing features, and switching between different sites creates a time-consuming process.
3. Price Differences The same product being listed at varying prices on different e-commerce sites makes finding the “best price” difficult. Without real-time comparison, users may end up paying higher prices.
4. Complexity of Payment Processes High transaction fees and long approval times in international shopping can negatively affect the user experience. Traditional payment methods can be costly, especially in cross-border transactions.

Pulsebot AI aims to solve these four core problems by combining artificial intelligence and crypto infrastructure.

What is PulseAI?

PulseAI is an advanced artificial intelligence platform that helps businesses automate customer interactions, perform data analysis, and deliver personalized experiences. Thanks to machine learning algorithms, it analyzes user behavior and improves its performance over time.

How Does Pulsebot AI (PBT) Work?

Pulsebot AI uses advanced machine learning algorithms to analyze user queries and aggregate product data from different platforms. The system filters search results to create the most suitable product set.

AI-Powered Product Discovery

The platform analyzes product links, prices, ratings, and other relevant data according to user preferences. The goal is to eliminate unnecessary results and quickly present the most suitable options. This way, users encounter an optimized recommendation list instead of browsing dozens of pages.

Real-Time Price Comparison

Pulsebot AI scans the prices of a product across different stores simultaneously. Thus, the user can see price differences through a single interface and evaluate the most advantageous option without wasting time.

Crypto Payment Integration

The platform offers payment with cryptocurrency. Supported assets include Solana (SOL), Bitcoin (BTC), Ethereum (ETH), and Pulsebot’s native token PBT. This structure aims to reduce dependence on traditional banking systems and provide a faster transaction experience.

User-Friendly Interface

Designed to be usable without requiring technical knowledge, the platform simplifies product comparison and the payment process. For users who want advanced customization, technical knowledge can provide an advantage, but no coding knowledge is required for basic usage.

Pulsebot AI (PBT) Features

• AI-powered shopping assistant
• Product discovery and personalized recommendations
• Real-time price comparison
• Crypto payment support
• In-platform reward system
• Blockchain-based transparent transaction infrastructure

Users can earn PBT tokens through platform interactions and the referral system. Additionally, token holders can earn extra rewards through the staking mechanism.

Pulsebot AI (PBT) Tokenomics

The native token of the Pulsebot AI ecosystem is PBT. The total supply has been set at 1,000,000,000 tokens. The token distribution is as follows:

• 37.5% Public Sale
• 12.5% Liquidity Pool
• 10% Marketing and Operations
• 5% Yappers & Stakers Rewards
• 10% Treasury
• 15% Team
• 10% Community

Token distribution will be carried out gradually according to a specific vesting plan. The purpose of this model is to encourage long-term participation and support sustainable growth.

Staking Mechanism

PBT holders will be able to stake their tokens to earn additional rewards. In the planned system, the reward rate is targeted to increase as the staking duration increases.

Pulsebot AI (PBT) Token Use Cases

The Pulsebot Token (PBT) has various functions within the platform:

• Payments for products and services
• Earning in-platform rewards
• Staking and passive income
• Participation in governance processes

It can also be used as a marketing and payment tool for store owners. Accepting crypto payments can reduce transaction fees and provide access to a broader customer base.

Opportunities for Store Owners

Pulsebot AI aims to provide solutions not only to consumers but also to e-commerce businesses. Through the platform, the following advantages can be offered:

• More traffic and sales potential
• Crypto payment integration
• AI-powered user insights
• Blockchain-based transparent interactions

Pulsebot AI (PBT) Team

The Pulsebot AI team consists of artificial intelligence engineers, blockchain developers, e-commerce specialists, and product managers.

• AI engineers: Machine learning and natural language processing
• Blockchain developers: Smart contracts and crypto integration
• E-commerce specialists: Digital marketing and online sales
• Product managers: User experience and market alignment

This multi-disciplinary structure aims to provide an approach that is proficient in both the crypto and retail ecosystems.

Official Links

• Website
• X (Twitter)
• Whitepaper

You can share your opinions in the comments about the topic. Also, follow us on Telegram, Twitter, and YouTube for more content like this.

The post What is Pulsebot AI (PBT)? appeared first on Coin Engineer.

What Does Quranium (QRN) Offer?

The majority of existing Layer-1 networks use ECDSA-based cryptography. The increasing computational power and the development of quantum computers have raised serious concerns that these signature algorithms could become breakable in the long term. Quranium claims to be the first Layer-1 blockchain built from the ground up on a quantum-resistant architecture, placing this risk at its core.

The project aims to create an infrastructure that ensures the long-term security (10–30 years and beyond) of financial assets, tokenized real-world assets (RWA), digital identities, and data requiring long-term storage.

The Quantum Threat and the “Store Now, Decrypt Later” Risk

Blockchain security today largely relies on elliptic curve cryptography (ECDSA). However, the theoretical ability of quantum computers to break these systems poses a structural risk to digital asset security.

The scenario known as “Store Now, Decrypt Later” refers to the possibility of encrypted data being stored today and decrypted in the future with more powerful computers. This means that current smart contracts and wallet infrastructures may not remain secure in the long term.

Quranium treats this threat not merely as a theoretical risk, but as an inevitable future security problem, and positions its infrastructure accordingly.

SLH-DSA: Hash-Based Post-Quantum Signature Algorithm

The technical foundation of Quranium is SLH-DSA (Stateless Hash-Based Digital Signature Algorithm). This algorithm is based on hash-based cryptography and offers a stateless structure.

Hash-based cryptography is considered one of the longest-tested and most conservative security-assumption methods in the cryptography world. It is stated to provide a more cautious and long-term security perspective compared to lattice-based alternatives.

Quranium’s approach can be summarized as follows:

• A more robust architecture compared to stateful structures
• A more conservative security approach than lattice-based systems
• A cryptographic foundation that will remain valid for decades

This structure is specifically designed for banks, regulated financial institutions, and assets requiring long-term storage.

EVM-Compatible Quantum-Safe Infrastructure

Quranium is not only a new Layer-1; it also offers an EVM-compatible architecture. This allows developers to deploy their existing Solidity-based smart contracts on the Quranium network without rewriting them.

This feature enables projects to transition to a quantum-resistant foundation without requiring a complete rebuild. Thus, the goal is to achieve a balanced transition between performance, developer experience, and security.

QxSwap: Quantum-Safe Decentralized Exchange

QxSwap is a quantum-secure decentralized exchange (DEX) positioned within the Quranium ecosystem. It is designed for institutional-grade asset exchange.

Key features:

• High-speed asset swapping
• Quantum-resistant signature infrastructure
• Scalable liquidity in global markets

This structure specifically targets institutional actors conducting large-volume transactions.

QRemix AI: AI-Powered Smart Contract Deployment

QRemix AI is an artificial intelligence-based tool aimed at accelerating smart contract development and deployment processes.

Through this system, developers are expected to optimize contract creation and deployment processes, reduce potential errors, and achieve faster prototyping.

The combination of quantum-safe infrastructure with AI-supported development tools lies at the center of Quranium’s technology vision.

QSafe Wallet: Quantum-Safe Wallet

QSafe Wallet is Quranium’s native and quantum-secure wallet solution.

Key features:

• Support for Quranium mainnet tokens and NFTs
• Integration with over 70 major blockchains (including BTC, Ethereum, Solana)
• Quantum-resistant signature infrastructure

This structure aims to combine multi-chain asset management with a post-quantum security perspective.

Qinfi: Quantum-Safe SuperApp

Qinfi is the application developed by Quranium and described as “the world’s first quantum-safe SuperApp.”

It aims to offer the following functions within a single application:

• Ownership of tokenized real-world assets
• Instant transfers between bank accounts and crypto wallets
• Investment or trading in crypto and stocks
• Earning yield from assets
• One-tap borrowing
• Payments with a crypto-backed card

All these operations are protected with quantum-resistant encryption infrastructure.

Institutional Focus and Regulatory Perspective

Quranium’s positioning is directed more toward institutional participants than individual users.

Key institutional advantages:

Long-Term Validity Regulated assets (securities, health data, intellectual property) require validity periods of 10–30 years and beyond. SLH-DSA hash-based signatures provide conservative security suitable for this requirement.

Auditability and Compliance Simpler cryptographic primitives mean easier auditability. Hash functions are among the most thoroughly tested building blocks in cryptography history.

Security-Performance Balance While lattice-based systems offer current speed advantages, they involve more assumptions regarding long-term security. Quranium prioritizes security in the balance between performance and long-term assurance.

Quranium (QRN) Roadmap

H1 2026

• TGE and exchange listings
• Agentic AI Whitepaper announcement
• Mainnet upgrade: Post-quantum financial infrastructure (banking, payments, remittance)
• Stablecoin integration
• Post-quantum P2P communication protocol
• QIP Community Governance Portal launch

H2 2027

• Mainnet upgrade: Post-quantum AI communication infrastructure
• Launch of Agentic AI verification protocol
• Completion of the first institutional bank’s PoC integration

Quranium (QRN) Investors

Quranium has received investments in the early stage from both accelerator programs and venture-backed companies. Through strategic investors, the project aims to enhance both its technical and institutional growth capacity.

• Animoca Brands
• 5Tech Lab

Quranium (QRN) Team

The Quranium team consists of experienced founders and executives in blockchain, finance, and technology fields. The project’s technical, operational, and strategic vision is shaped by this team.

• Kapil Dhiman – Co-Founder & CEO
• Yaduvenda Yadav – Co-Founder & CTO
• Zeeshan Khan – Co-Founder & COO
• Mohit Kapadia – CPO
• Maz Zaman – CGO
• Olivia Karlsson – Chief of Staff to CEO

Advisors

• Muhammad Al Saiyari – Advisor
• Michael Terpin – Advisor
• James Bernad – Advisor
• Sebastien Borget – Advisor
• John Keith King – Advisor

Official Links

• Website
• X (Twitter)
• Whitepaper

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post What is Quranium (QRN)? appeared first on Coin Engineer.

This approach is based on a future model where, unlike today’s fragmented user experience across hundreds of applications, all interactions will be conducted through a single, trusted digital entity. Kindred’s ultimate goal is to become a continuously evolving, personalized AI presence that users turn to for everything.

Core Problem Addressed by Kindred Labs (KIN)

According to Kindred Labs, the biggest problem with current AI systems is that they are “lifeless.” Although existing AI applications possess high cognitive capacity, they lack emotional intelligence and therefore struggle to form lasting bonds with users.

Low User Retention Rates

While traditional social applications maintain an average DAU/MAU ratio of 51%, AI-focused applications remain at around 14%. This gap demonstrates that AI fails to create emotional resonance with users and therefore cannot generate long-term engagement.

Unscalable Revenue Models

Across the entire generative AI sector, there are only about 20 million paying users, whereas platforms like Netflix have reached hundreds of millions of subscribers. Although AI applications can achieve rapid user acquisition, they struggle to generate sustainable revenue due to their inability to create emotional attachment.

Exclusion from the Mainstream Market

Current AI solutions are limited to a user base of approximately 300 million people, primarily focused on productivity and work-related use cases. This figure represents only 5.5% of total internet users. The remaining 94.5% lack solutions that address emotional experience and connection needs.

Limitations of the Web3 AI Ecosystem

Kindred argues that AI agents in the Web3 world face a similar deadlock. Existing AI agent projects are mostly confined to closed, speculative ecosystems that appeal to a limited investor audience. This structure:

• Makes it difficult to reach mainstream users
• Focuses on short-term value expectations rather than long-term interaction
• Fails to produce meaningful real-world utility

Additionally, unlicensed IP usage and the copyright crisis stand out as one of the biggest structural risks facing the AI sector.

Kindred Labs (KIN) Solution: Emotional Intelligence Through Iconic IPs

Kindred Labs’ solution is to redefine AI through emotionally connectable characters. The platform transforms globally recognized and licensed intellectual properties (IPs) into living, learning, and evolving AI entities.

This allows users to interact not with an unfamiliar AI from scratch, but with a character they already know and can form an emotional bond with. This approach accelerates trust-building while also increasing user retention rates.

What are Kindreds?

Kindreds are digital AI agents developed by Kindred Labs. However, these agents are not classic “assistants.” Kindreds are designed as:

• Learning
• Remembering
• Emotionally responsive
• Evolving together with the user

digital companions. The goal is to go beyond utility-focused interaction and establish a personal and lasting relationship.

Mind, Body, Soul Framework

The foundation of the Kindred ecosystem is built on a three-part structure:

Mind

Represents cognitive intelligence. It understands user behavior, preferences, and context to generate personalized responses. Learning, prediction, and problem-solving occur at this layer.

Body

Provides continuity across devices and platforms. It delivers a seamless experience between mobile, wearables, XR platforms, and future hardware.

Soul

The center of emotional intelligence. Empathy, ethical stance, and trust are built at this layer. Soul transforms Kindreds from mechanical systems into “human-like” entities.

Revenue Model: AI Companions as Revenue Engines

Kindreds do not merely make suggestions; by deeply analyzing user preferences, they directly facilitate the purchasing process. The platform earns a share from transactions in areas such as shopping, travel, dining, and lifestyle.

This revenue model:

• Touches multi-trillion-dollar industries
• Is shared with IP owners and content creators
• Enables the ecosystem to self-finance

What is the Kindred Labs (KIN) Token?

$KIN is the native token of the Kindred ecosystem and directly supports the system’s operations. The tokenomics structure targets long-term sustainability rather than short-term speculation.

Kindred Labs (KIN) Token Distribution

• Community: 58.3%
• Community Growth: 31.8%
• Ecosystem & Foundation: 26.5%
• Core Contributors: 26%
• Early Supporters: 10.7%

Kindred Labs (KIN) Token Use Cases

• Participation in ecosystem governance
• AI compute power and compute credits
• Licensed IP packages and personalization
• AI tools and capability marketplace
• Team and multi-user licenses
• API calls and agent-to-agent interactions
• Memory, synchronization, and data storage

Kindred Labs (KIN) Partners and Backers

The Kindred ecosystem has strong backing from both technology and entertainment worlds.

• Ecosystem Supporters: Stellar, Nvidia, Protocol Labs, CoinMarketCap, SkyMavis, ElevenLabs
• Official Partners: Teletubbies, Neopets, Pudgy Penguins, Axie Infinity, B.Duck, Imaginary Ones, and others

Kindred Labs (KIN) Team

Kindred’s leadership team consists of experienced names in AI, Web3, and global IP projects. Technical excellence is combined with creative design understanding.

• Max Giammario (Co-Founder / CEO): A visionary entrepreneur in human–AI interaction. He has two successful startup exits, and his doctoral work shapes Kindred’s emotional intelligence-focused AI vision.
• Lingga Pradipta (Co-Founder / CTO): An experienced technical leader in artificial intelligence and cybersecurity. He has led blockchain integrations for Warner Bros. and Teletubbies NFT projects and is the founder of a startup acquired by Mercedes-Benz.
• Rachelle Irene (Head of Product): A product leader with an Apple background. She played a key role in achieving high user acquisition and strong engagement rates in the Teletubbies NFT launch and Axie ecosystem projects.
• Ferro Sandityo (Creative Director): An experienced creative director who has worked with global entertainment brands. He built a large community with the Squishy Squad NFT project and transforms iconic IPs into visually and emotionally powerful AI characters at Kindred.

The team embraces a culture built on ethical AI, user privacy, and transparent governance principles.

Official Links

• Website
• X (Twitter)
• Whitepaper

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube and Twitter channels for the latest news and updates.

The post What is Kindred Labs (KIN)? appeared first on Coin Engineer.

Autify Network’s core vision is to make the rapidly growing global climate credit economy—valued at over $180 billion—more reliable, transparent, and scalable. It achieves this by integrating Web3’s decentralized infrastructure with enterprise-grade data verification and supply chain requirements.

Core Purpose and Vision of Autify Network (AUTY)

Today, climate credits and sustainability projects face challenges such as verification difficulties, lack of transparency, and data reliability issues. Autify Network develops a blockchain-based trust protocol to solve these problems.

The project’s main objectives can be summarized as follows:

• Make environmental impacts measurable and verifiable
• Transform climate credits into standardized global digital assets
• Enable sustainability-focused projects to generate financial value
• Facilitate Web3-based data transfer in supply chain and retail sectors

Thanks to this approach, Autify Network positions itself not merely as a crypto project, but as an infrastructure protocol that intersects climate technology, finance, and Web3.

Autify Network (AUTY) stands among Web3 projects that combine climate technologies with blockchain infrastructure and aim to create real-world impact. With its AI-supported verification system, transparent blockchain records, and enterprise-focused infrastructure, it appeals not only to crypto markets but also to sustainability and supply chain ecosystems.

This approach to digitizing and standardizing climate credits positions Autify Network as one of the projects that could stand out in the RWA space in the long term.

Climate Credits: A Verifiable, Transparent, and Value-Generating Structure

Autify Network’s primary focus is climate credits. The platform offers a decentralized structure that converts environmental actions into economic value.

What Climate Credits Offer on Autify Network:

• Verified data: Every credit undergoes advanced verification processes
• Transparent records: All transactions are immutably stored on the blockchain
• Economic value: Environmental impact is transformed into tradable digital assets

This structure builds a trust-based bridge between organizations developing climate projects and companies seeking to purchase these credits.

AI and Blockchain-Supported Technology

One of the most important elements that distinguishes Autify Network from similar projects is the combined use of artificial intelligence and blockchain technology.

AI-Powered Verification The advanced AI algorithms used on the platform verify climate credits with 99.9% accuracy. This prevents fake, duplicate, or low-quality credits from entering the system.

Immutable Records with Blockchain All verification processes and credit movements are stored on the blockchain. This both increases transparency and eliminates the risk of retroactive manipulation.

Real-Time Analytics Autify Network provides users with live dashboards to track their environmental impact in real time. This allows companies and institutions to monitor their sustainability performance instantly.

Who Is It Designed For?

Autify Network is not designed for a single user profile. The platform offers scalable solutions for all stakeholders in the climate ecosystem.

• Climate credit-generating projects
• Corporate buyers and investors
• Auditing and verification organizations
• Supply chain and retail companies
• Web3-based sustainability initiatives

This broad scope turns Autify Network from a niche solution into a global climate infrastructure.

Autify Network (AUTY) Tokenomics

The AUTY token sits at the center of the Autify Network ecosystem and supports economic activity within the network.

Total Supply

• 1,000,000,000 AUTY

Token Distribution

• Private / Pre-sale: 16% – 160,000,000 AUTY
• Public Sale: 0.78% – 7,780,000 AUTY
• Ecosystem Growth: 28%
• Core Team: 15.5%
• Development: 12%
• Liquidity, Listing & Market Making: 10%
• Other: 34.5%

This distribution shows priority given to long-term ecosystem growth and development activities.

Autify Network (AUTY) Partners

Autify Network aims to expand its ecosystem by establishing collaborations with various institutions and projects operating in the climate and sustainability space. These partnerships are intended to strengthen the platform’s real-world use cases.

Partners:

• Weaving Vibes
• AltMat
• Ashi Creation
• KARMIKH
• SIROHI
• WELLBI
• FOReT
• NoName

Autify Network (AUTY) Backers

The project is backed by institutions with significant standing in the blockchain and technology world. These backers are important actors that strengthen Autify Network’s technical infrastructure and enterprise vision.

Backers:

• Ava Labs
• Microsoft
• NEAR
• Stellar
• Filecoin
• Sia
• LOOP Ventures
• myAsiaVC

Autify Network (AUTY) Team

Autify Network is being developed by an experienced and multi-disciplinary team. The team consists of experts in Web3, product development, software, and creative design.

Team Members:

• Nabarun Chakraborty – Founder & CEO
• Pankaj Arya – Product Manager
• Venkatesh Prasad – Creative Lead
• Supriyo Sarkar – Full Stack Developer
• Pushpit Bhardwaj – Full Stack Developer

Official Links

• Website
• X (Twitter)
• Whitepaper

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post What is Autify Network (AUTY)? appeared first on Coin Engineer.

NOYA positions itself not merely as an analysis tool or automation bot, but as an “always-on institutional research desk.” It transforms onchain noise into meaningful insights, connects these insights to user intent, and executes the necessary transactions trustlessly across multiple chains.

In short, NOYA’s core thesis is clear: Intelligence alone is not enough; it must be able to act.

What Does NOYA.ai Aim to Achieve?

The traditional DeFi experience requires constant manual operations across dashboards, analysis tools, bridges, DEXs, and different chains. This structure both wastes time and increases execution risk.

NOYA compresses this process into a single system:

Research → Thesis → Execution → Monitoring

These four steps are managed in the NOYA ecosystem by interconnected AI agents instead of fragmented tools. The user expresses “what they want to do”; NOYA plans how, where, and through which protocols it should be done.

NOYA System Architecture

NOYA is built on a holistic architecture consisting of three main layers:

1. Intelligence Layer This layer encompasses the analysis infrastructure fed by onchain data, prediction markets, and protocol fundamentals. NOYA does not merely provide data here; it generates context.

   • Token fundamentals
   • Market signals
   • Risk factors
   • Prediction market probabilities
   • Wallet behaviors and capital flows

2. Execution Layer This is the layer where intelligence is turned into action. In accordance with the permissions given by the user:

   • Swap
   • Bridging
   • Liquidity provision
   • Borrowing optimization
   • Vault investment

   such operations are automatically executed across multiple chains.

3. Abstraction Layer It hides technical complexity. The user does not deal with the underlying chains, bridges, and protocols; control remains with the user while the operational burden is eliminated.

Trustless Omnichain AI Agents and ZKML

One of the most distinctive aspects of NOYA is that its AI agents operate in a verifiable manner using ZKML (Zero-Knowledge Machine Learning).

Thanks to this structure:

• AI models can be verified on-chain
• It can be proven that strategy decisions were actually executed
• Trust is provided without revealing the internal logic of the model

Agents perform tasks such as yield optimization, debt management, liquidity allocation, and collateral monitoring in a trustless manner.

Omnichain Execution and Intent-Based Model

NOYA puts “what is intended to be done” at the center rather than “how it will be done.” This approach is called intent-based execution.

Users can express intent in the following ways:

• Via text
• Via voice command

For example: “Optimize stablecoin yield without increasing my risk.”

This intent is transformed by the AI agent into a cross-chain execution plan. The user approves and signs every step. NOYA never executes without permission.

Omnivaults: Intelligent Capital Allocation

Omnivaults are NOYA’s capital distribution layer. The goal is not only high yield but risk-adjusted and sustainable performance.

Key Features of Omnivaults

• Multi-chain and multi-protocol support
• Automatic rebalancing
• Classification by risk categories
• Simple deposit/withdrawal experience

Vault Types

• Standard yield strategies
• Looped (leveraged) strategies
• BTC, ETH, stablecoin-based vaults

Users gain access to professionally designed structures without dealing with complex strategies.

Prediction Market Copilot

An important part of NOYA’s intelligence layer is the Prediction Market Copilot.

This module combines:

• Market probabilities
• Liquidity depth
• Wallet behaviors
• Historical resolution data

to provide probabilistic analysis.

Highlighted Features

• Expected Value (EV) analysis
• Scenario-based evaluation
• “Smart wallet” tracking
• Large position entries/exits
• Portfolio and performance analysis

The goal is not automated betting, but disciplined and contextual decision-making.

What is the NOYA Token (NOYA) Used For?

The NOYA token is not required for the system to function; however, it plays a role in strengthening participation and long-term alignment.

Core Use Cases

• Staking
• Governance
• Vault and report access
• Buyback & burn mechanism
• Incentive programs

A portion of protocol revenue is used for NOYA token buybacks and burns, aiming to create a direct link between usage and value.

NOYA.ai (NOYA) Tokenomics

• Total Supply: 1,000,000,000 NOYA
• TGE Circulating Supply: Approximately 10%
• No team unlock at TGE

Distribution Summary

• Community emissions: 37%
• Team: 20% (long-term vesting)
• Ecosystem & partnerships: 15%
• Foundation / Treasury: 10%
• Public sale: 10%
• Airdrop: 5%
• Market maker reserve: 3%

On the airdrop side, offering penalty options to large holders in exchange for early liquidity stands out as a notable choice aimed at protecting ecosystem balance.

Fee Model

NOYA adopts a transparent and predictable fee structure instead of hidden costs.

• Execution fees (bridge, routing, etc.)
• Vault management and performance fees
• Token-based access for advanced features

All fees are clearly displayed before user approval.

NOYA.ai (NOYA) Team

NOYA.ai is being developed by a highly technical and research-focused team. The team consists of a core group specialized in artificial intelligence, DeFi infrastructure, and onchain systems.

Team:

• Hadi Esnaashari – Co-founder, Tech Lead

Official Links

• Website
• X (Twitter)
• Whitepaper

Also, in the comment section, you can freely share your comments and opinions about the topic. Additionally, don’t forget to follow us on Telegram, YouTube and Twitter for the latest news and updates.

The post What is NOYA.ai (NOYA)? appeared first on Coin Engineer.

The YOOG ecosystem particularly targets providing high-quality, verifiable, and ethically usable data sets for large language models (LLMs), artificial intelligence applications, and data-fed technologies.

YOOG Core Purpose and Vision

In the traditional data economy, data is usually collected by large technology companies for free or at low cost, while the actual producers do not receive sufficient share of the value. YOOG aims to reverse this structure.

The platform’s vision is to create a sustainable data marketplace where data owners have direct ownership rights over the data they produce or collect, and AI developers can access the data they need in a transparent and legal manner.

YOOG is an ambitious project that brings data ownership, artificial intelligence, and blockchain under one roof. Especially in a period where the need for ethical data for AI models is increasing, it stands out with its approach that protects, licenses, and transforms data into economic value.

The platform is not just an NFT marketplace; it also aims to offer a decentralized data economy infrastructure. YOOG’s success will be directly related to data quality, developer adoption, and ecosystem growth.

Data Asset Concept and YOOG Approach

At the center of YOOG is the “Data Asset” concept. Data Assets represent processed and economically valuable data sets. These assets are securely represented on the blockchain using Semi-Fungible Token (SFT) structure.

YOOG’s data processing mechanism takes raw data, large data sets, or special data collections and:

• Cleans
• Pre-processes
• Enriches
• Makes them licensable

and then tokenizes them in NFT format. Thus, these data are protected against unauthorized use and become directly purchasable by AI developers.

What is Data NFT?

Data NFT is a blockchain-based digital asset that represents the copyright or special licensing authority of a specific data set. This NFT represents the “base IP” (basic intellectual property) of the data.

When a data set is published in the YOOG ecosystem:

• A new Data NFT is created
• Ownership of the data is recorded on-chain
• Revenue rights are automatically defined

This structure places data sets into a legal and economic framework similar to physical ownership documents. The smart contract of the NFT manages revenue sharing, access permissions, and licensing conditions.

Stakeholders in the YOOG Ecosystem

YOOG offers a multi-sided data economy infrastructure. The main participants of the ecosystem are as follows:

Data Creators

Researchers, writers, designers, artists, and individuals or teams conducting survey studies are included in this group.

Data Collectors

Structures that collect user behavior or event data through applications, platforms, and systems.

AI and LLM Developers

Teams developing large language models similar to GPT and artificial intelligence algorithms.

dApp Developers

Software developers creating decentralized applications supported by AI using YOOG data assets.

End Users and Institutions

Individuals, companies, and sectors using AI technologies in business processes.

YOOG Business Model

YOOG’s business model is shaped around a blockchain-based marketplace centered on data trading.

Core Components:

• Sale of pre-processed and enriched data sets as NFTs
• Direct revenue generation for data owners
• Licensed data access for AI developers

Target Audience:

• Data scientists
• Artificial intelligence developers
• Corporate data providers
• Companies developing AI-based products

YOOG Value Proposition

The main advantages offered by YOOG are as follows:

• Curated Data Sets: Ready and high-quality data for AI training
• Data Enrichment Tools: Increasing diversity and accuracy
• Blockchain Security: Transparent ownership and immutable records
• Efficient Marketplace: Low-cost, intermediary-free trading

Revenue Models

YOOG aims for a sustainable structure with different revenue channels:

• Transaction fees from Data NFT sales
• Premium subscription plans
• Corporate partnerships and sponsorships
• Featured listings and analysis services

Blockchain Infrastructure and Technology Stack

YOOG is initially designed to operate on the SUI blockchain. In the following processes, integration with networks such as Ethereum and Solana is targeted.

Technologies used include:

• Python-based data processing tools
• Data augmentation libraries
• NFT standards (ERC-721, ERC-1155, ERC-3525)
• Smart contracts

Why Blockchain?

Blockchain usage provides critical advantages for YOOG:

• Data integrity and immutable records
• Transparent and auditable transactions
• Elimination of intermediaries
• Global access and cross-border trading
• Automatic revenue sharing and royalty payments

What is YOOG Token?

$YOOG is the native utility token of the platform and is at the center of all economic activities in the ecosystem.

YOOG Token Use Cases:

• Data NFT trading
• In-platform payment unit
• DAO governance
• Rewards and incentives
• Research and development funding
• Fractional data asset trading

YOOG Tokenomics

Total supply: 10 billion YOOG

Distribution:

• Ecosystem Fund: 24%
• Team: 10%
• Private Sale: 12%
• Strategic Sale: 9%
• KOL Round: 12%
• Public Sale: 4%
• Liquidity: 8%
• Treasury: 8%
• Operational Expenses: 8%
• Advisors: 5%

YOOG Team

Behind YOOG is an experienced team in data science, blockchain, and engineering fields:

• Sony Ifergan – Founder & CEO
• Philippe Tissier – Head of Data Science
• Emilio Jones – Blockchain Architect

Official Links

• Website
• X (Twitter)
• Whitepaper

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

The post What is YOOG (YOOG)? appeared first on Coin Engineer.

Owlto Finance combines AI-supported routing algorithms, smart contracts, and zero-knowledge proof (ZK) technologies to make cross-chain transactions faster, more secure, and lower-cost. The project does not merely offer a bridge solution; it also aims to lay the foundations for a liquidity infrastructure where borders disappear, in line with Web3’s long-term vision.

What Does Owlto Finance (OWL) Offer?

Owlto Finance’s core approach is built on enabling users to transfer assets between different blockchain networks without dealing with technical details. In this context, the platform offers a scalable and modular structure for both individual users and DeFi protocols.

Key Features

Omni-chain Coverage: Owlto has a broad infrastructure that supports major blockchain networks such as Ethereum, Bitcoin, Solana, and others. This allows users to perform transactions between different chains through a single platform.

Deep Liquidity Structure: Integrated with multiple DEXs and liquidity protocols, Owlto aims to provide the most efficient price and route during transactions. This structure minimizes slippage risk, especially in high-volume transfers.

Security-Focused Architecture: The platform focuses on protecting user assets with multi-layered security mechanisms, smart contract audits, and on-chain verification processes.

User-Friendly Experience: With a one-click transaction interface, the need for complex wallet settings or technical knowledge is largely eliminated.

Omni-chain Compatibility: Thanks to its modular architecture, Owlto can naturally integrate with different DeFi protocols and supports cross-chain interoperability.

What is Owlto Cross-Chain Bridge?

At the center of the Owlto ecosystem, Owlto Cross-Chain Bridge is positioned as the flagship product of the platform. This bridge solution aims to eliminate liquidity barriers between heterogeneous blockchain networks.

Thanks to advanced cross-chain routing algorithms and deep liquidity pool integration, Owlto offers multi-route usage and real-time price discovery. The system automatically determines the most optimal transfer path, completing transactions in approximately 30 seconds. This approach provides a more efficient user experience with near-zero slippage.

Owlto Bridge enables users to perform seamless transactions in scenarios such as ecosystem migrations, gas fee optimization, and multi-chain portfolio management.

How Does Owlto Finance Reward System Work?

Owlto Finance adopts a reward model that supports its growth not only through technology but also through community participation. The platform’s reward system aims to increase long-term ecosystem value rather than short-term speculative incentives.

Referral and Commission Program

Users can invite new participants to the platform through their unique referral links. When invited users perform eligible cross-chain transactions, both the referrer and the referred party earn proportional commission rewards. This structure aims to create a sustainable incentive loop.

Points System

The points system evaluates users’ on-platform behavior in multiple dimensions. Points accumulate based on metrics such as cross-chain transaction frequency, transaction volume, and interaction levels with different networks.

While the referral system focuses more on community growth, the points system aims to measure long-term user contributions. All reward data is recorded on-chain through smart contracts, ensuring a transparent distribution mechanism.

What is OWL Token?

$OWL is the native utility token of the Owlto Finance ecosystem. The token sits at the center of all interoperability processes within the protocol and creates a common value layer between users, developers, and liquidity providers.

The infrastructure that Owlto has developed for more than two years has been tested with millions of users and tens of millions of transactions. The $OWL token is positioned as a tool aimed at further opening the ownership and governance of this ecosystem to the community.

OWL Token Use Cases

• Governance: $OWL holders can participate in protocol governance by staking their tokens. Network expansion, technical updates, and core parameters are shaped by the community.
• Revenue Sharing: The Owlto protocol generates real on-chain revenue from cross-chain transactions. Users who stake $OWL can receive a share of this revenue.
• Transaction Fee Discounts: Users holding $OWL can benefit from fee discounts on transactions performed on Owlto.

OWL Tokenomics

The total supply of the $OWL token is capped at 2,000,000,000 tokens. The distribution model is designed to support long-term ecosystem sustainability.

Token Distribution:

• Community: 22.00%
• Investors: 15.67%
• Team: 15.00%
• Airdrop: 15.00%
• Ecosystem: 10.33%
• Liquidity: 7.50%
• CEX Airdrop: 7.00%
• Advisors: 5.00%
• Marketing: 2.50%

The token is launched simultaneously on Ethereum and BNB Chain, targeting accessibility and liquidity from day one.

Owlto Finance Investors

Owlto Finance has raised a total of $8 million across different stages and reached a $150 million valuation. The project has received support from both crypto-focused funds and institutional investors.

Investors:

• GSR
• Bixin Ventures
• SNZ Holding
• x21 Digital
• Skyland Ventures
• Matrixport
• Blocore
• CE Innovation Capital
• Presto Labs
• Stratified Capital
• Hailstone Ventures
• Alpha Capital
• Maxx Capital
• Incubate Fund
• OMG | Open Market Group

Owlto Finance (OWL) Team

The Owlto Finance team consists of experienced individuals in technical infrastructure development, business partnerships, and ecosystem growth.

Team Members:

• Krystal (Co-Founder)
• Yogesh Pulivarthi (Developer Relationships and Partnerships Lead)
• Leo Ced (Team Member)

Official Links

• Website
• X (Twitter)
• Whitepaper

Also, you can freely share your thoughts and comments about the topic in the comment section. Additionally, please follow us on our Telegram, YouTube and Twitter channels for the latest news and updates.

The post What is Owlto Finance (OWL)? appeared first on Coin Engineer.