Press Release
Lumino, lightening up the world of secure multi-party computation
New digital era, new demand of security
With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection
Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.
Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.
The “chemical reaction” of blockchain and secure multi-party computation
To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.
It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.
When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.
The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.
New practice in privacy protection——PlatON & Lumino
Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.
Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.
This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.
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.
Press Release
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
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
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.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, 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.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, 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.
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
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
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