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Platon Aims To Become The Public Infrastructute Of Privacy Computing To Open Up Business Prospects For The Crypto Space

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5 years ago

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In the Information Age, Data Becomes a New Factor of Productivity

In economics, factors of production, also known as production inputs, are essential resources for the production of goods and services. In his epochal work “Principles of Economics”, famous British economist Marshall put forward the theory of four factors of production — land, labor, capital and entrepreneurial talent. National income (NI) is the reward of four factors, and that is, national income (NI) = labor wage (w) + land rent (r) + capital interest (i) + operating profit (π). This “four-in-one formula” sums up the core of western economic production theory and distribution theory, which has been widely accepted for more than a century.

However, factors of production are a historical category that evolves with the development of economy and society. The birth and development of the Internet has changed the mode of production, life and consumption, and it promoted many important and profound changes, and played an increasingly important role in economic development, social life and national governance. The full exploitation and effective utilization of all kinds of data has raised production efficiency to an unprecedented level. Data has become an indispensable factor in economic activities and a new generation of production factors after land, energy, population and food.

Table – Production Factors at Different Stages

Privacy Brings Data Dilemma and MPC Realizes Data Collaborative Computing

Nowadays, people have already extended their social activities to the network space. Every day, people contribute data continuously to the network space. A large amount of data is collected, calculated, analyzed, excavated and this goes beyond the original data level of information value.

However, because of the plain text nature of the data, the owner loses ownership of the data once the data is granted to others for use. Therefore, to ensure the privacy protection of data, a huge amount of data managed by enterprises cannot be exchanged and co-calculated with the data held by other enterprises, which is why a large number of data cannot generate value.

The emergence of privacy computing ends this dilemma. Yao Qizhi, a member of the Chinese National Academy of Sciences, proposed secure multi-party computing (MPC) in 1982. In a nutshell, participants have to enter information to calculate an agreed function. In addition to the accuracy of the calculations, they must also protect the privacy of each participant’s input data. Specifically, there are now n participants, each of whom, xi, is aware of the xi they entered, who together calculate a pre-agreed function f (x1 ,…, xn) = y. In this way, all participants will get the final y value, but they will not be able to know the specific data entered by the other participants. Thus, with local data not aggregated and privacy not divulged, each party can still achieve a common desired result by performing the operations of the given logic.

Privacy computing opens up huge business prospects for the digital world (Crypto Space)

Bitcoin’s pioneering combination of virtual currencies and peer-to-peer payment systems open the door to decentralization. With the introduction of intelligent contract function, Ethernet has greatly improved the scalability of blockchain, and all kinds of applications can be deployed on blockchain. Because of these characteristics, early public blockchain networks such as Bitcoin and Ethernet have been developed, attracting a large number of blockchain and encryption enthusiasts in the world, and many traditional institutions have been entering the area of blockchain, exploring various possibilities of decentralization.

The combination of privacy computing and blockchain is expected to put data ownership back in the hands of data producers, meaning that vast amounts of data can be counted without affecting privacy and ownership, so that the owners can profit and data can burst out with greater value. Therefore, the blockchain project based on privacy calculation is naturally suitable for the commercial practice in the fields of financial, medical, scientific research, government affairs, and logistics and so on.

“Operator” PlatON network for blockchain data

PlatON, the representative project of the combination of privacy computing and blockchain currently, is based on the basic attribute of blockchain and is supported by privacy computing network, and provides the next generation Internet infrastructure protocol with the core characteristics of “computing interoperation”. PlatON’s vision is to become the public infrastructure for privacy computing of the next generation, publishing privacy computing algorithms through contracts, and implementing MPC protocols with data providers and computing nodes for privacy protection requirements, so as to realize cooperative computing of data. PlatON, designed to price data flows, is all about computing and data, which is the most fundamental part of future human production. PlatON can achieve large-scale application landing and commercial scenario implementation:

For example:

I. Build a wider credit collection network. The public chain that provides private computing can provide user with customizable computing logic template and multi-party access mode, and in the case that the access party’s data does not need to be collected and shared, only the credit inquiry results are output to the demander, and the original data can be encrypted and stored in the blockchain system to meet all kinds of audit needs.

II. Supply chain financial infrastructure. The public chain of private computing is based on blockchain technology and cryptography algorithm, which can provide a platform solution for supply chain finance to digitally identify, process and transfer assets. Construct a new financial financing model of supply chain in which the information of the upstream and downstream enterprises can be shared symmetrically, the credit value of the core enterprises can be transmitted, the business tickets can be split and the risk can be controlled, and provide convenient data traceability for the supervision and enhance the service efficiency of the industry as a whole.

To build the public infrastructure for the digital age, PlatON continuously optimizes technology, iterates the underlying infrastructure, and breaks through the “impossible triangle” in terms of performance. “Impossible triangle” means that it is difficult to achieve both a good “decentralization” and a good “security” of the system in a blockchain and a high “transaction processing performance” at the same time. The most well-known blockchain projects in the industry are Bitcoin, Ethernet, and EOS. At present, using native Token transfer performance test method and EOS under the same testing conditions, PlatON has achieved a comprehensive performance leader in the quasi-real environment, and will continue to focus on the data field and accelerate the construction of data market.

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Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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Press Release

Sui Processes Over 6 Million Transactions Per Second as AI Agents Drive Public Throughput Experiment

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3 hours ago

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July 6, 2026

By

Grand Cayman, Cayman Islands, July 6th, 2026, FinanceWire

Autonomous AI agents battling across games, payments, and chat pushed Sui’s programmable tunnels to a peak of 6,086,766 TPS

Sui, where money moves as freely as messages, processed the highest number of transactions per second ever performed on its network on Saturday, July 4, 2026. The milestone was hit live during a public experiment open to anyone and witnessed by thousands during a livestream.

Made possible through “programmable tunnels,” which are offchain payment and state channels that settle to Sui mainnet when closed, the experiment invited users to log into an explorer built specifically for the event, using nothing more than an email address. Once connected, participants watched AI agents battle head-to-head across games, payments, and chat, all contributing transaction volume in real time toward a single goal: pushing Sui mainnet past 1 million transactions per second (TPS).

The network exceeded that target several times over. At approximately 12:30 PM ET, Sui mainnet reached a peak of 6,086,766 TPS: more than six times the experiment’s 1 million TPS goal, and roughly 20 times higher than Sui’s previous maximum-TPS benchmark of 297,000 TPS, set in a controlled testing environment.

Diving Into the Details

The demo was led by Chief Cryptographer Kostas Chalkias, co-founder of Mysten Labs and a contributor to Sui, alongside Daniel Lam, a lead engineer on Mysten’s dedicated Sui hacker team. Participants signed in with zkLogin, the Sui primitive that makes it possible for users to log in with an existing account, such as Google, instead of a traditional crypto wallet, and received a test token, MTPS, to use in the experiment. As gas was sponsored throughout, users needed no prior SUI holdings to take part.

From there, users and AI agents opened programmable, Lightning Network-style offchain channels, or “tunnels,” with one another to play games such as blackjack and “Quantum Poker,” draw together on a shared canvas, chat, and transact, all gaslessly and offchain, with activity settling back to Sui mainnet when each channel closed. Every closed channel was mutually cosigned and independently verifiable onchain, allowing the experiment to combine high throughput with cryptographic proof that no transaction was tampered with.

“We proved that programmable tunnels aren’t just about payments,” said Kostas Chalkias, Chief Cryptographer and Co-Founder at Mysten Labs. “This is agent-to-agent commerce, competitive gaming, and prediction markets running gaslessly at massive scale. A company’s trading agent could play chess or poker against another company’s agent millions of times without touching the base chain. Consider real-world utility: you could lock funds offchain so someone without internet access, in an earthquake or a blackout, can still pay for groceries the moment they’re near a signal again. Right now there are only four or five proven product-market fits in crypto: stablecoins, DeFi, payments, prediction markets. I think programmable tunnels just opened the door to a fifth.”

What’s Next

Mysten Labs and the Sui hacker team plan to build on the experiment with additional capabilities, including confidential transfers via Nautilus, tunnels supporting more than two participants, and agent-to-agent prediction markets. 

About Sui

Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for scalable finance and global payments. Founded by the core team behind Meta’s stablecoin initiative and powered by an object-centric model, Sui makes assets, permissions, and user data programmable and ownable. Sui’s primitives offer builders everything they need to create high-performance payments and financial applications, including instant agentic payments. Users can learn more at sui.io.

Contact

Sui Foundation
media@sui.io

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Harmony Labs makes a strategic investment in Harmony Link; a dual-token system opens up a new avenue for monetizing Web2 short-video traffic

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7 hours ago

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July 6, 2026

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Harmony Labs, a leading global blockchain investment and research institution, has officially announced a full strategic investment in Harmony Link, a Web3 short-video aggregation platform. Leveraging Harmony’s underlying sharding technology and resources from 412 ecosystem projects, the two parties will jointly build an inclusive Web3 gateway serving a billion-scale short-video user base. They aim to create a long-term dual-token economic model—featuring HK as the core value carrier and HAK as the medium of circulation within the ecosystem—with plans for HK to debut on the Binance Alpha board, thereby establishing a closed-loop system for sustainable value growth.

Founded in 2018 and headquartered in Singapore’s financial hub, Harmony Labs focuses on specialized investments and in-depth industry research regarding blockchain infrastructure and ecosystem applications. Its core underlying asset, Harmony (ONE), utilizes random state sharding technology to achieve low-gas, high-throughput cross-chain interactions. The firm has incubated 412 ecosystem projects across DeFi, NFT, and GameFi sectors, amassed a network of 300,000 global developers, maintained long-term deep partnerships with top-tier investors like Binance Labs, and established robust systems for global compliance and capital operations.

The industry currently faces clear pain points: Web3 users account for less than 6% of the global population, and customer acquisition costs in the blockchain sector reach as high as $42 per person. Furthermore, traditional text-based educational content presents high barriers to entry, third-party operational tools are prone to bans, and the space is rife with pyramid schemes. Meanwhile, the attention of the billion-strong Web2 short-video user base is consumed without compensation, and there is a lack of practical tools for distributing the value generated by traffic. As a key inclusive project for Harmony Labs through 2026, Harmony Link centers on “TikTok-style” short-video behavior mining. It integrates five key tools—on-chain price chart visualization, decentralized live streaming, AI digital avatar promotion, project advertising, and community management—to comprehensively address eight major bottlenecks hindering industry development.

This strategic investment will fully unleash Harmony Labs’ multi-dimensional resources to empower the platform: leveraging Harmony’s sharding technology to reduce development costs by 87% and utilizing the 300,000-developer network to rapidly iterate on smart contract audits and anti-fraud firewall modules. Additionally, the partnership will facilitate the onboarding of the existing 412 ecosystem projects and capitalize on the market’s established perception of Harmony as an “ultra-low gas public chain” to significantly lower user education costs. The funds will be primarily allocated to four key areas: product iteration, global community expansion, the establishment of an HK price-support reserve pool, and preparations for the HK listing on Binance Alpha.

The Head of Investment at Harmony Labs stated: “The primary bottleneck for the large-scale adoption of Web3 is the high barrier to entry for users; short-form video serves as the optimal vehicle to connect the general public with blockchain technology. Harmony Link’s innovative dual-token model offers immense long-term value: HAK dynamically adjusts user activation ratios in phases to smooth out market selling pressure, while core cash flows from AI leasing and advertising continuously inject USDT into the HK price-support pool. With essential, paid use cases across the platform and a future listing on Binance Alpha, a virtuous cycle of traffic, revenue, and token value will emerge, truly enabling the distribution of ‘attention value’ to the general public.”

The Harmony Link Project Lead added: “Leveraging Harmony Labs’ backing in capital, technology, and ecosystem, the platform will adjust the HAK/USDT ratio for account activation across five stages. Upon reaching the 50% HAK / 50% USDT phase, ‘Computing Power NFTs’ will be launched to generate the core token, HK. With a total supply of 100 million HK, 60% is generated via Computing Power NFTs, and 20% is allocated to a dedicated price-support fund. All B2B paid services across the platform will eventually settle in HK, and the project will leverage Binance Alpha’s global traffic to amplify long-term value.”

Both parties simultaneously announced a comprehensive roadmap: in the short term, they will launch short-video mining and basic live-streaming functions while steadily transitioning to a hybrid activation model; in the medium term, they will enable HK generation via Computing Power NFTs and continuously bolster HK liquidity reserves; in the long term, they will drive HK’s listing on Binance Alpha, implement a full-chain HK payment ecosystem, incubate high-quality Web3 projects, and establish a DAO-based decentralized governance system.

Moving forward, Harmony Labs will continue to provide global compliance research, capital connections, and brand/channel resources. This support aims to help Harmony Link break down the barriers between Web2 and Web3, create a benchmark Web3 traffic platform accessible to everyone, and drive the mass adoption and inclusive growth of blockchain technology.

About Harmony Labs
Founded in Singapore in 2018, Harmony Labs is a global blockchain investment and research institution specializing in blockchain-focused investments and in-depth industry research. Building a complete ecosystem upon the underlying public blockchain Harmony (ONE), the firm focuses on the practical application of cutting-edge technologies such as sharding, cross-chain interoperability, and Zero-Knowledge (ZK) proofs. With a global footprint spanning North America, Europe, and Southeast Asia, Harmony Labs is dedicated to bridging traditional capital with the Web3 industry and fostering inclusive blockchain development.

About Harmony Link
Harmony Link is a Web3 short-video aggregation platform incubated by Harmony Labs. It features an innovative “Proof-of-Action” mining mechanism and a dual-token economy, integrating data visualization, decentralized live streaming, AI digital avatars, project advertising, and community management. With HK serving as its long-term core value token, the platform plans to launch on the Binance Alpha sector, aiming to reshape the Web3 traffic monetization ecosystem.

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AI STUDIOS Launches AI Roleplay for Insurance Agent Training

Published

7 hours ago

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July 6, 2026

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  • The new AI-powered training tool lets insurance agents and sales reps rehearse real customer conversations — policy renewals, cancellation requests, claims follow-ups — with instant, automated coaching feedback after every session.

PALO ALTO, Calif, July 6th 2026, AI STUDIOS, operated by DeepBrain AI, launched AI Roleplay, a new conversation-training solution designed to help insurance agents and sales representatives rehearse difficult customer conversations before they happen in the field. The tool gives agents unlimited practice sessions with an AI customer that responds in real time, followed by automated, personalized coaching feedback.

AI Roleplay simulates the conversations sales representatives say are hardest to get right: auto insurance renewal calls, customers threatening to cancel a policy, claims follow-up calls, and routine check-ins tied to a policyholder’s birth month. Rather than reciting scripted responses, the AI customer reacts dynamically to whatever the representative actually says — raising objections, asking for more detail, or pushing back, much as a real customer would.

Sales coaching has traditionally relied on in-person practice with a trainer or manager, a model that limits how often sales representatives can rehearse and how quickly they get feedback. AI Roleplay removes both constraints. Representatives can run a practice session at any time, without scheduling a coach, and receive a speaking score along with specific strengths, areas for improvement, and suggested phrasing immediately after each session ends.

Practice scenarios are organized by situation, customer type, and difficulty level, from beginner to advanced. Sales representatives converse with the AI customer via text or voice, and voice sessions include a speech-analysis score that flags pacing, clarity, and tone — a level of feedback unavailable through prerecorded training videos or static e-learning modules.

AI Roleplay also includes a manager dashboard that tracks completion rates, scores, and activity for each team member in real time. Sales managers can use the dashboard to identify representatives who need additional coaching without listening to call recordings individually or scheduling separate feedback sessions, according to DeepBrain AI.

DeepBrain AI said the tool is intended to shorten the ramp-up period for new sales representatives and reduce customer complaints tied to inaccurate explanations or weak call handling — a persistent risk in insurance sales, where regulatory and compliance expectations are high. Beyond insurance, the company said AI Roleplay applies to any role where conversation quality directly affects business outcomes, including corporate sales representatives, financial advisors, call center staff, and healthcare front-line workers.

“In insurance sales, a single sentence can determine whether a deal closes or a customer loses trust,” said Eric Jang, CEO of DeepBrain AI. “AI Roleplay goes beyond watching a video or sitting through a course — sales representatives train by actually talking with an AI customer, which is what sets it apart from traditional online training.”

AI Roleplay is currently deployed with multiple insurance carriers in South Korea, and DeepBrain AI said it plans to expand the tool to additional industries and practice scenarios going forward.


About DeepBrain AI

DeepBrain AI is a global leader in AI Avatar, AI Agent, and AI Human technology. Its flagship B2B SaaS platform, AI STUDIOS, helps enterprises create hyper-realistic AI avatars, real-time avatar agents, and localized video content at scale. Based in Palo Alto, Calif., DeepBrain AI serves enterprise customers worldwide.

Media Contact:
DeepBrain AI Communications 
global@deepbrain.io
www.aistudios.com

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