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Building a machine network based on blockchain to create a new IoT era

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Mankind is entering the era of “connection of all things”

Recently, the Ministry of industry and information technology released the key industries and application scenarios of “5G + industrial Internet”, marking that China’s 5G application has shifted from exploration to promotion. 5G has three characteristics: high speed, low delay and wide connection, which will promote the consumer Internet forward to the industrial Internet, and finally build an intelligent world of “everything connected”.

The essence of industrial Internet is to use information technology to closely connect the equipment, production lines, factories, suppliers, products and customers in the industrial manufacturing industry, which is across the equipment, system, and region, so as to improve efficiency and promote the intellectualization of the whole manufacturing service system. The 5G application scenarios released recently, such as collaborative operation and flexible manufacturing, indicating the importance of industrial Internet to achieve broader and deeper social cooperation. It is through this large-scale cooperation that human civilization makes progress continuously.

Large-scale social cooperation could be divided into two patterns: the first is centralized, with hierarchical “command-feedback” chain and mutual principal-agent relationship as the core characteristics. The typical representatives are government, bureaucratic organizations and military units; the second type is decentralized, represented by market mechanism. There is no central planning or unified coordination. The participants of the mechanism, based on cost-benefit calculation, promote the overall interests through automatic division of labor and exchange. On the social level, the efficiency of decentralized market mechanism is higher than that of centralized command mechanism. In the future mass machine equipment connection (mMTC) network, a decentralized and value exchange based large-scale collaboration among machines can be realized by introducing market mechanism. Therefore, the industrial Internet in the digital era is not only the Internet of factory manufacturing, but also a distributed network and governance structure. All enterprises can safely join this network to realize manufacturing services, integrated innovation and value sharing.

Sharing mechanism in large scale machine cooperation

Although large-scale collaboration between machines has great value potentially, it still faces problems such as privacy protection, trust between agents and higher demand of computing power of large-scale collaboration.

Therefore, the solution design of the industry is to adopt the pattern of “machine network + blockchain”. The role of Cloud in traditional industrial Internet, such as using the smart contract based on the blockchain to realize the value measurement, distribution and settlement of large-scale cooperation. Finally, it would make the large-scale cooperation of cross-border and public affairs more credible and efficient.

1) Effective data confirmation

The reason why blockchain has become the key to the future industrial Internet is that it integrates technologies such as cryptography, peer-to-peer network, consensus mechanism, and forms a new way of data recording, transmission, storage and presentation, so as to construct a decentralized pattern, which can effectively confirm the data rights. In the industrial Internet, the integration of blockchain technology can solve the problem of mutual trust and cooperation among multiple players, as well as the problem of industrial enterprises’ control over their own data.

2) Reducing the transaction cost of multilateral platform

With the development of global market and the subdivision of supply chain, the participation cost of complex business activities is no longer “bilateral”, but “multilateral”, and the establishment of trust relationship is more and more expensive. Blockchain technology can build a peer-to-peer and unified platform for business activities. At the same time, it can significantly reduce one of the trust costs in transaction costs to be commercially feasible. Participants in business activities will move from traditional “bilateral platform” to “multilateral platform”. While scale effect is formed, the trust cost will not increase too much.Finally, it will be superimposed into an ecological effect, forming a viable business model.

3) To solve the problem of Isolated Data Island by privacy computing

Although blockchain can play a significant role in solving trust, cooperation and other problems in industrial Internet, it still has some defects in data value mining and privacy protection. Therefore, blockchain also needs to combine with privacy computing. Privacy computing can not only realize data sharing under privacy protection, ensure the authorization of privavy data, but also prevent malicious eavesdroppers or others from accessing the original data or data calculation results. In the industrial Internet, the core data is still kept in the enterprise. Under the premise of meeting the needs of data privacy security, privacy computing enables enterprises to use massive industrial data more efficiently and accurately, solving the problem of Isolated Data Island. Furtherly, it enhance the value of data in the process of sovereign ownership and rights sharing, and realize the two-way empowerment of various enterprises.

PlatON helps intelligent interconnection of Machine Networks

PlatON is a privacy computing network based on cryptography algorithm. As a global leader in blockchain industry, it can effectively solve the problems about Big Data managemen in the industrial Internet by its existing technical advantages, and provide a safer infrastructure based on privacy protection and edge computing capability. Firstly, PlatOn’s powerful encryption algorithm technology can provide trusted device authentication, multi-channel data transmission and data storage services for industrial Internet, and enhance the security of device system; Secondly, PlatOn’s new computing architecture can make full use of the computing resources of adjacent nodes, provide strong computing support for the industrial Internet, and comprehensively improve the timeliness of services. Finally, PlatOn’s privacy protection and multi-party secure computing (MPC) technology can support collaborative analysis of massive data and integration of diverse scenarios

On April 30, 2021, the PlatON privacy AI computing network obtained the community license with 80.6% support rate, and the current pre-deployment network has officially become the main network. PlatON will gradually establish a multi-agent collaboration and computing network for the future, and promote industrial civilization and human society from “interconnection of all things” to “intelligent connection of all things”.

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Affordable SEO Expert Anatoly Zadorozhnyy Announces Launch of SEO Consulting Website

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Anatoly Zadorozhnyy has launched Affordable SEO Expert, a dedicated website that allows businesses to work directly with him for SEO services without going through a traditional agency structure. The website outlines his offerings, including technical SEO audits, on-page optimization, and link building, while also providing insight into his experience and SEO methodology.

Los Angeles, CA, United States, 26th May 2026Affordable SEO Expert, a newly launched website operated by SEO professional and founder of Marketing 1on1, Anatoly Zadorozhnyy, is now online. The platform was created to provide information on search engine optimization services, SEO methodologies, and digital marketing practices for website visibility and organic search performance.

The website covers several areas of SEO, including technical SEO audits, on-page optimization, content structure analysis, link-building practices, and website performance considerations. The platform also outlines general information regarding SEO processes commonly used to support website indexing, search accessibility, and content relevance across search engines.

The launch of the website reflects ongoing activity in the SEO industry, as independent consultants and specialized platforms expand their online presence to provide educational resources, service information, and search optimization support for businesses across a wide range of industries.

The website also contains information on SEO practices, including both on-site and off-site strategies. Topics referenced throughout the platform include metadata optimization, website structure evaluation, keyword targeting considerations, internal linking practices, technical site analysis, and backlink-related SEO factors commonly associated with organic search visibility.

In addition to service-related information, the website includes background details on industry experience and professional focus areas related to search engine optimization and digital marketing. The platform references work associated with websites operating in local, regional, and broader online markets where search visibility and website accessibility remain important aspects of digital presence management.

Website Features

The Affordable SEO Expert website includes several informational sections, including:

  • Information about available SEO-related services
  • Background and professional experience details
  • Technical SEO and on-page optimization information
  • General information related to link-building practices
  • Contact and inquiry submission functionality
  • Website optimization and search visibility resources

The website launch represents an additional entry into the growing number of specialized online platforms focused on SEO consulting, digital marketing information, and website optimization services. As search engine algorithms and digital marketing standards continue to evolve, platforms dedicated to SEO education and optimization resources remain an active segment of the broader online marketing industry.

About Anatoly Zadorozhnyy

Anatoly Zadorozhnyy is an independent SEO consultant. His work spans technical optimization, content strategy, and search visibility improvements for businesses operating in competitive online markets. The launch of affordableseoexpert.com formalizes the direct consulting model he has operated under. It serves as the primary channel through which new and existing clients can engage his services.

Website: https://www.affordableseoexpert.com/
Facebook: https://www.facebook.com/affordableseoexpertservices/
 

Media Contact

Organization: Affordable SEO Expert

Contact Person: Anatoly Zadorozhnyy

Website: https://www.affordableseoexpert.com/

Email:
media@affordableseoexpert.com

Contact Number: +18185384885

Address:10 N Grand Ave

City: Los Angeles

State: CA

Country:United States

Release id:45343

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Giggso Introduces Raven, Andie, and AIRTaaS to Help Enterprises Bring Discipline, Reasoning, and Security to AI Adoption

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TROY, Mich., May 26th, 2026, ZEX PR WIRE — Enterprises are moving faster with AI than ever before. But many are also quietly losing comprehension of the systems they are building.

Engineering teams now generate code, workflows, automations, and AI-driven decisions at unprecedented speed using tools like Claude, Codex, Cursor, and enterprise copilots. While productivity has increased, organizations are also experiencing a new operational challenge: more meetings, fragmented workflows, inconsistent outputs, security concerns, architecture drift, and growing difficulty understanding how systems actually work together.

Giggso calls this problem “comprehension debt” — the growing gap between AI-generated velocity and organizational understanding.

Today, Giggso announced Raven, Andie, and AIRTaaS, three offerings designed to help enterprises reduce comprehension debt and bring discipline, reasoning, and continuous security testing into AI adoption at scale.

Together, the offerings form the front door into GSD (Giggso Security Domain), Giggso’s broader architecture for governing, securing, and operationalizing enterprise AI systems.

“At a small scale, AI feels magical,” said Ravi Venugopal, Founder and CEO of Giggso. “At enterprise scale, it can quickly become operational chaos. Teams move faster, but understanding drops. Meetings increase. Ownership blurs. AI starts producing more than organizations can realistically comprehend or govern. That is the problem we are solving.”

At the center of the announcement is Raven, Giggso’s discipline layer for AI-assisted software development.

Raven is designed to help organizations enforce engineering discipline inside AI-driven development workflows before problems reach production. Rather than acting as a traditional code scanner after development is complete, Raven introduces governance, architecture awareness, policy enforcement, and review controls directly into AI-assisted coding environments.

The platform helps organizations identify risks such as:

  • architecture drift
  • unapproved libraries
  • exposed secrets
  • policy violations
  • insecure dependencies
  • undocumented AI-generated logic
  • uncontrolled AI usage patterns

The goal is not to slow development, but to preserve organizational understanding as teams move at AI speed.

“AI can now generate code faster than teams can comprehend it,” Ravi said. “Without discipline, enterprises accumulate technical debt, security exposure, and operational confusion at machine speed. Raven helps organizations preserve engineering quality and architectural understanding while still moving fast.”

Giggso also introduced Andie, a structured reasoning engine designed to help enterprises improve contextual thinking and operational decision-making across teams.

Unlike traditional chatbot-style AI interfaces that generate isolated answers, Andie is designed to help organizations reason through problems with context, constraints, and multiple perspectives in mind. The platform is intended to support operational workflows across delivery, strategy, planning, support, and execution environments.

Giggso believes one of the biggest failures in enterprise AI adoption is not a lack of intelligence, but a loss of shared understanding.

“Most organizations do not need another chatbot,” Ravi said. “They need systems that help teams think more clearly together. AI should reduce confusion, not multiply it. Andie is designed to strengthen organizational reasoning, preserve context, and reduce the fragmentation that happens when every team operates with disconnected AI outputs.”

To address the growing security risks around enterprise AI adoption, Giggso is also expanding AIRTaaS, its AI Red Teaming as a Service platform.

As enterprises deploy AI agents, copilots, retrieval systems, and autonomous workflows into production, traditional security testing approaches are increasingly insufficient. AI systems can fail through prompt injection, hallucinations, role-boundary violations, tool misuse, unsafe autonomy, data leakage, and adversarial manipulation.

AIRTaaS continuously stress-tests AI systems against these real-world failure scenarios before they become operational incidents.

The platform combines:

  • AI red teaming
  • observability
  • governance workflows
  • incident tracking
  • remediation guidance
  • human-led adversarial testing

To strengthen its execution capabilities, Giggso has partnered with Seiance India, a woman-owned AI security startup based in Chennai, India, whose product, Trinity, is an AI security and observability platform.

AIRTaaS turns AI security into an operational discipline instead of a compliance checkbox,” said Abhinaya, CEO of Seiance India P Ltd.
“Enterprises need continuous stress testing because AI systems are constantly evolving. Our focus is helping organizations identify weaknesses early, validate resilience continuously, and improve trust in production AI systems.”

Giggso also announced that portions of AIRTaaS and related tooling will be free for Individual Developers, while core Enterprise developer-focused red teaming capabilities will be low-cost and easy to certify for teams.

The company said the decision reflects a growing concern about “AI washing” — where organizations overstate AI capabilities without sufficient operational rigor — and the rise of “AI slop,” low-quality AI-generated outputs that appear acceptable on the surface but fail under real operational conditions.

“We believe AI adoption needs more honesty, more discipline, and far more operational accountability,” Ravi said. “The future belongs to organizations that can scale AI without losing security, comprehension, governance, and trust in the process.”

Raven, Andie, and AIRTaaS are part of GSD (Giggso Security Domain), Giggso’s enterprise architecture for governing AI systems, coding workflows, observability, orchestration, reasoning, and AI operational security across the enterprise.

More information is available at Giggso

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Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens

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Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.

Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.

“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan

Why aggregation produces better pricing

Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.

The broadest token coverage of any market maker

API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.

For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.

Flexible connectivity and settlement

API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:

  • Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection

  • Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work

Settlement is handled through institutional partners, with options for fiat and stablecoins:

  • Hidden Road and BitGo Go Network for custodial settlement

  • Customers Bank CUBIX for fiat settlement in USD

  • USDT and USDC settlement available directly

Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.

About Caladan

Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.

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