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Platon: To create a new digital civilization by Protecting CryptoArts

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CryptoArts, a new favorite in the digital age

Recently, a NFT painting of digital artist Beeple was sold for $69.34 million, setting a record price for cryptoart. Earlier, Dorsey, the CEO of twitter, transferred his first tweet as a NFT, with the price of about $2.9 million. The birth of these high-priced works of art has pushed the cryptoart into the artistic field,which has been changing people’s traditional cognition and empirical judgement of art. So what is NFT? Is NFT valuable?

NFT (non-homogeneous token) is also a kind of cryptocurrency asset, which relying on the blockchain network behind it. The holding information of these assets can be recorded in the blockchain. Different from bitcoin and Ethereum, each NFT is unique, so it is not for exchange, like basic commodity purchase or other basic transactions money. However, because of that NFT assets can’t be copied, works of art or collections can be transferred on the blockchain network as the unique cryptocurrency asset. For example, if you successfully register as a password artist on the NFT trading platform, your uploaded works of art can also become a NFT asset. The process of becoming a NFT can be regarded as “coinage”, and then by aggregating into blocks to become the unique token asset on the blockchain.

All along, the biggest attribute of art is uniqueness and irreplaceable, which coincides with the essence of NFT. In the traditional art market, artworks are repeatedly sold at high prices, which is unmatched by any other industry. At present, cryptoart is the most powerful growth area in the digital collection market.

Perfect combination of encryption technology and artistic value

Although NFT assets are unique and irreplaceable, and can exist in different forms and contents, their essence is still token. Token itself has no intrinsic value. Only when it is placed on the value system of the real world, can it be endowed with specific meanings.

When we buy a NFT, it actually means that we buy a “digital certificate” representing the ownership and authenticity, that is, we get a unique password generated by blockchain technology. For example, if you buy a painting in the art field, what others see is only a copy of the digital picture, while the buyer has the only original copy of the whole network. This work has been authenticated by blockchain technology, and has a digital signature that cannot be copied, so that buyers can confirm the uniqueness of their collection. The underlying logic is the consensus mechanism based on the network computing power of blockchain. For the cryptoart, this network flow based consensus is important. Through effective mechanisms to improve consensus, let more people know about the works, and by exposure and auction, or artists’ appearance on public media, can achieve “value-capture”, thus increasing the collection value and transaction price of works.

In this process, encryption and privacy protection technology play a key role. For a cryptoart, the owner should have both the ownership and the right to use. Currently, we only protects the ownership, but fails to protect the right to use. If the owner of a work puts a cryptoart on display in the gallery, the owner can get a share of the income from the exhibition, and only with the authorization of the owner, can the art work be fully displayed. Only in this way can the right to use of cryptoart be more effectively protected, which is what PlatOn’s privacy computing has been working for.

The privacy token contract of PlatOn can achieve the purpose of hiding identity through zero knowledge proof algorithm. Zero knowledge proof is to make the verifier believe that one has some knowledge or ability without providing any useful information to others, so as to protect the cryptoart. In addition, digital assets need to be taxed in the future, which also involves the trade of ownership. Token’s Rosetta privacy AI framework improves the efficiency of MPC (multi-party secure computing) and provides strong support for digital asset trading.

Platon’s Alaya scheme, Protecting the cryptoart

As a global blockchain leader, PlatOn, with its rich experience in the field of privacy protection, can help the digital identification and asset digitization of traditional works of art and even real estate, and help traditional assets become indelible and unchangeable . PlatOn launched the meta network Alaya scheme on October 24 last year. The scheme is based on distributed storage system, with globally distributed nodes, and is linked in the form of NFT. It supports the subsequent change of ownership of digital assets through cooperative transfer, so as to protect cryptoart and built a new digital civilization.

In addition, in the main network release of PlatOn is launched in last month, NFT transfer is also used for voting on the chain, and NFT badges in the main network community will be sent to all voting participants. It can be seen that PlatOn’s exploration on NFT privacy protection has been in the field including the cryptoart, community souvenirs, voting and so on, which will light the dawn of new digital civilization.

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Global Publicist 24 Magazine Names Pharmacist and Entrepreneur Abadir Nasr as Cover Leader of Its 2026 “Most Influential Leader Shaping the Future of Business” Edition

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Global Publicist 24 Magazine, an international business publication that profiles influential leaders and high-impact entrepreneurs, has released its special 2026 edition, “The Most Influential Leader Shaping the Future of Business,” with pharmacist and healthcare entrepreneur Abadir Nasr featured on the cover.

The edition recognises leaders whose vision and execution are reshaping their industries, and Nasr was selected as the cover personality for his work building a community-focused pharmacy model centred on trust, accessibility, and patient care.

Nasr is the pharmacist and owner of Arvazy Pharma and Whitfield’s Guardian Pharmacy. Combining clinical training with hands-on business leadership, he has developed both pharmacies into local healthcare destinations known for personalised service and patient advocacy rather than transactional dispensing.

“Healthcare does not end at the counter when you hand someone their medication,” said Nasr in the cover feature. “It starts with understanding the person in front of you, and that relationship is what keeps a community healthy.”

Across both businesses, Nasr has applied a consistent philosophy: that meaningful patient relationships and sound commercial decisions can grow together. The cover feature traces his entrepreneurial path, the operational challenges he worked through, and his outlook on where pharmacy and community healthcare are heading.

Commenting on the selection, Sagar Kasar, Editorial Lead at Global Publicist 24, said: “Abadir represents the kind of leadership this edition was built to highlight. He has grown a healthcare business while keeping patient trust at the centre of every decision, and that balance is genuinely difficult to achieve.”

The 2026 edition also features leaders from a range of industries whose work in innovation, growth, and customer-focused strategy offers practical lessons for founders and executives navigating a fast-changing economy.

The new edition of Global Publicist 24 Magazine is available now to readers worldwide.

About Global Publicist 24 Magazine

Global Publicist 24 Magazine is an international business publication that profiles influential leaders, innovative organisations, and notable success stories worldwide through exclusive interviews, thought-leadership features, and industry analysis.

Website: https://www.globalpublicist24.com/magazines/
Email: info@globalpublicist24.com
Phone: (+1) 302 956 1687

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

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British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

Published

on

British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

Continue Reading

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