Seoul, South Korea, 21 October — ZAMICA announces the upcoming Initial Exchange Offering (IEO) and P2B Exchange listing of its governance token, $ZAMIC, introducing a practical bridge between traditional finance (TradFi) and decentralized finance (DeFi).
The launch offers a new approach to gold participation via gold-linked ZAM, while allowing participants to pursue additional on-chain income opportunities through ZAMICA’s programs using $ZAMIC.
Real Yield, Backed by Real Activities
ZAMICA introduces a hybrid DeFi model that merges blockchain innovation with regulated financial operations — offering predictable, asset-connected returns to investors worldwide.
Unlike speculative tokens that depend solely on price fluctuations, $ZAMIC is built around a sustainable ecosystem powered by real-world financial mechanisms, including:
High-yield traditional savings programs
Web3-based decentralized lending protocols
Microfinance initiatives supporting small businesses and education in developing regions
“ZAMICA was founded on the belief that true innovation lies in delivering financial benefits not only to crypto-savvy investors but also to populations in developing countries with low crypto literacy,” said Sanghoon Park, Media Representative of ZAMICA.
“By combining gold-backed tokens with a Web3-based P2P lending platform, ZAMICA offers both stability and profitability to investors while ensuring broader inclusion in the platform’s growth. To achieve this, the project diversifies its revenue streams through decentralized lending operations, high-yield deposits with traditional financial institutions, and participation in microfinance initiatives. Deposited assets — including gold-collateralized funds — are expected to be utilized by partner institutions as loan capital, thereby contributing to improved financial accessibility for underserved communities.”
A Bridge Between Trust and Innovation
Operating on the Binance Smart Chain (BEP-20), ZAMICA combines blockchain transparency, efficiency, and accessibility to create a robust DeFi–TradFi connection.
Within its ecosystem, ZAMICA issues two interconnected tokens:
ZAMIC ($ZAMIC) — the platform’s governance and utility token, used for participation in programs, access to platform services, and ecosystem growth incentives.
ZAM — a gold-linked token, representing value equivalent to physical gold and serving as the foundation for ZAMICA’s yield and lending mechanisms.
Holders of ZAM can:
Earn monthly rewards through deposit programs backed by real financial activities.
Access decentralized lending markets for sustainable, collateralized liquidity.
Participate in ESG-focused and microfinance lending initiatives that promote inclusion.
Enjoy stable, transparent growth tied to tangible, real-world value.
This dual-token structure enables ZAMICA to deliver both digital innovation and financial trust, allowing users from both the crypto and non-crypto worlds to participate in a secure, yield-oriented ecosystem.
Social Impact Through Finance
ZAMICA integrates social inclusion into its business model by empowering real economies through gold-collateralized financial products.
By depositing gold-collateralized funds into banks that issue savings products backed by physical gold, ZAMICA enables those banks to enhance their liquidity and lending capacity, thereby contributing to economic progress in developing regions. In parallel, ZAMICA issues its native gold token, ZAM, in proportion to the deposited collateral—bridging digital assets with real-world value and expanding access to stable income opportunities.
“Our vision is to make finance a driver of inclusion and progress,” adds Park. “ZAMICA’s system connects digital efficiency with traditional security—turning blockchain innovation into tangible global benefit.”
Upcoming IEO and Exchange Listing
ZAMICA’s Initial Exchange Offering (IEO) will launch exclusively on P2B Exchange, giving early supporters the opportunity to participate in one of 2025’s most promising DeFi–TradFi integrations.
Following the IEO, $ZAMIC will be officially listed on P2B Exchange for public trading.
About ZAMICA
ZAMICA is a South Korea – based Web3 fintech project developing a dual-purpose gold-tokenization ecosystem that merges blockchain transparency with the stability of traditional finance. By linking its platform to real-world TradFi activities – such as gold-collateralized savings deposits, high-yield savings products, and participation in microfinance lending – ZAMICA offers stable and accessible income opportunities to users worldwide.
Organization: ZAMICA Media Contact: Sanghoon Park Email: inquiry@zamica.biz Location: Seoul, South Korea
China, 17th Oct 2025 — Recently, a research team jointly formed by Agibot, Chuangzhi Academy, The University of Hong Kong, and others, published a breakthrough study that systematically explores three key dimensions of data diversity in robot manipulation learning: task diversity, robot embodiment diversity, and expert diversity. This research challenges the traditional belief in robotics learning that “more diverse data is always better,” providing new theoretical guidance and practical pathways for building scalable robot operating systems.
Task Diversity: Specialist or Generalist? Data Provides the Answer
A core question has long perplexed researchers in robot learning: when training a robot model, whether to focus on data highly relevant to the target task for “specialist” training, or to collect data from various tasks for a “generalist” learning approach.
To answer this, a clever comparative experiment was designed, constructing two pre-training datasets based on the AgiBot World dataset with identical sizes but drastically different task distributions:
“Specialist” Dataset (Task Sampling) – 10% of tasks most relevant to the target tasks were carefully selected, all containing the five core atomic skills required for evaluation: pick, place, grasp, pour, and fold. As shown in the figures, this strategy, while having lower skill diversity, is highly concentrated on the skills needed for the downstream tasks.
“Generalist” Dataset (Trajectory Sampling) – 10% of trajectories from each task were randomly sampled, preserving the full task diversity spectrum of the original dataset. Although this approach resulted in fewer trajectories directly related to the target skills (59.2% vs. 71.1%), it achieved a more balanced skill distribution.
The results revealed an unexpected trend. As shown, the “Generalist” trajectory sampling strategy significantly outperformed the “Specialist” approach on four challenging tasks, with an average performance improvement of 27%. More notably, the advantage of diversity was even more pronounced on complex tasks requiring higher semantic and spatial understanding – for example, a 0.26 point increase (39% relative improvement) on the Make Sandwich task, and a 0.14 point increase (70% relative improvement) on the Pour Water task.
Why did diversity win? The analysis revealed that the trajectory sampling strategy not only brought skill diversity but also implicitly included richer scene configurations, object variations, and environmental conditions. This “incidental” diversity significantly enhanced the model’s generalization ability, allowing the robot to better adapt to different objects, lighting conditions, and spatial layouts.
Based on the discovery that “diversity is more important,” the research team explored a deeper question: given sufficient task diversity, does increasing data volume continue to improve performance? Experimental results show that the average score of the GO-1 model exhibited a stable upward trajectory as pre-training data volume increased. Crucially, this improvement followed a strict Scaling Law! By fitting a power-law curve, Y = 1.24X^(-0.08), the team found a highly predictable power-law relationship between model performance and pre-training data volume, with a remarkable correlation coefficient of -0.99.
The significance of this finding lies not only in the numbers but also in a major breakthrough in research methodology. Past scaling law research in embodied intelligence primarily focused on single-task scenarios, small models, and no pre-training phase. This study extends scaling law exploration for the first time to the multi-task pre-training phase for foundation models, demonstrating that, given sufficient task diversity, large-scale pre-training data can provide continuous, predictable, and quantifiable performance gains for robot foundation models.
Embodiment Diversity: Cross-Robot Transfer Using Single-Platform Data
The robotics community has long held that for a model to generalize across different robot platforms, pre-training data must include data from as many diverse robot embodiments as possible. This belief led to large-scale multi-embodiment datasets like Open X-Embodiment (OXE), which includes 22 different robots.
However, cross-embodiment training introduces significant challenges: vast differences in physical structure, and inherent disparities in action and observation spaces between platforms complicate model learning. Facing these challenges, the team delved deeper: despite morphological differences, the action spaces of their end-effectors are essentially similar. When different robots make their end-effectors follow the same trajectory in world coordinates, they can produce comparable behaviors. This observation led to a key hypothesis: a model pre-trained on data from a single robot embodiment might easily transfer learned knowledge to new robot configurations, bypassing the complexities of cross-embodiment training. To validate this bold hypothesis, the team designed a “one versus many” experimental showdown:
RDT-AWB: Pre-trained on the Agibot World dataset (1 million trajectories, single Agibot Genie G1 robot), containing no data from the target test robots.
RDT-OXE: Pre-trained on the OXE dataset (2.4 million trajectories, 22 robot types), containing data from the target test robots, theoretically holding a “home advantage.”
Testing was conducted on three platforms: the Franka arm in the ManiSkill simulation, the Arx arm in the RoboTwin simulation, and the Piper arm in the real-world Agilex environment. In the cross-embodiment adaptation experiment in the ManiSkill environment, RDT-OXE initially showed its “home advantage,” slightly leading at 125 samples per task. However, a turning point occurred at 250 samples: RDT-AWB quickly caught up. As data increased further, RDT-AWB began to surpass RDT-OXE and widened the gap, a growth that followed a power-law relationship. This indicates that the single-embodiment pre-trained model not only achieves effective cross-embodiment transfer but also exhibits superior scaling properties.
To ensure generalizability, in the real-world Agilex environment, RDT-AWB outperformed RDT-OXE on 3 out of 4 tasks, achieving comprehensive victory from simulation to reality.
Additionally, tests were conducted to evaluate the cross-embodiment capability of the GO-1 model (pre-trained only on Agibot World) on the Lingong and Franka platforms using a folding task. Even without seeing the task or the specific embodiment in pre-training, the model required only 200 data points to successfully transfer and adapt, with GO-1 + AWB achieving an average score 30% higher than GO-1 trained from scratch.
These results have disruptive theoretical and practical implications. Theoretically, they challenge the traditional notion that multi-embodiment training is necessary for cross-embodiment deployment, suggesting that high-quality single-embodiment pre-training offers a simpler path. Practically, this can drastically reduce data collection costs by focusing on high-quality data from a single platform and simplify training pipelines, offering a new path for cross-platform robot model application.
Expert Diversity: Identifying Harmful Noise to Enhance Learning Efficiency
An often-overlooked yet crucial factor in robot learning is Expert Diversity – the variation in demonstration data distribution arising from differences in operator habits, skill levels, and inherent randomness. Unlike standardized NLP or CV datasets collected from the internet, robot datasets consist of continuous robot motions highly sensitive to operator behavior.
The classic PushT task, illustrated in the figures, exemplifies this phenomenon. Here, the robot (blue circle) must push a gray T-shaped object to a green target area. Despite the identical goal, the collected expert demonstrations show clear multi-modal characteristics. Spatial multi-modality is evident in different trajectory choices: the robot can approach from the left or right side of the object, forming distinct spatial paths, reflecting different operator understandings of the task strategy. Velocity multi-modality occurs when similar trajectories are executed at different speeds: even with similar paths, varying execution speeds produce entirely different demonstration profiles in the time dimension, with some operators acting quickly and decisively, others more slowly and cautiously.
These two types of multi-modality have completely different impacts on learning. Spatial variation represents meaningful task strategies; these diverse solutions should be preserved as they enrich the model’s understanding of the task and help prevent out-of-distribution (OOD) inference. However, velocity variation often introduces unnecessary noise, complicating current action-chunk-based imitation learning by forcing the model to learn these distribution characteristics simultaneously, increasing difficulty without adding substantive strategic value.
To address this challenge, the team proposed a clever two-stage distribution debiasing framework centered on introducing a Velocity Model (VM). In the first stage, the VM is trained to predict speed from action chunks using an MSE loss, learning the expected speed distribution for each input from the velocity-biased training data. This stage equips the VM with knowledge of reasonable speed distributions corresponding to different action patterns. In the second stage, during policy training, the VM first predicts an unbiased speed for each training sample. This predicted speed is then used to convert the original actions into unbiased actions. The policy is subsequently trained using these unbiased actions as supervision targets, effectively simplifying the distribution complexity and allowing the model to focus on learning the core task strategy without being distracted by speed variations.
The team validated the distribution debiasing approach on two representative tasks: Wipe Table and Make Sandwich. The model trained on debiased data, named GO-1-Pro, consistently outperformed the standard GO-1 model on both tasks and across all data scales. Notably, GO-1-Pro demonstrated exceptional data efficiency – achieving comparable or superior performance using only half the training data required by GO-1, effectively doubling data utilization efficiency.
The advantages of the debiasing method were particularly pronounced in low-data scenarios. Under the scarce condition of only 15 demonstrations, GO-1-Pro improved performance on the Make Sandwich task by 48% and the Wipe Table task by 39%. In data-scarce settings, multi-modal distributions in speed and space create significant interference, hindering the model’s ability to capture core spatial patterns. By decoupling these confounding factors, the debiasing method enables the model to focus on learning essential spatial relationships, leading to more efficient and robust policy learning even with limited data, providing a practical technical path for enhancing model performance and data efficiency.
This study systematically explores data scaling for robot manipulation, revealing three key insights that challenge conventional wisdom: task diversity is more critical than the quantity of single-task demonstrations; embodiment diversity is not strictly necessary for cross-embodiment transfer; and expert diversity can be detrimental due to velocity multi-modality. These findings overturn the traditional “more diversity is always better” paradigm, proving that quality trumps quantity, and insightful curation trumps blind accumulation. True breakthrough lies not in collecting more data, but in understanding the essence of data, identifying valuable diversity, and eliminating harmful noise, charting a more efficient and precise development path for robot learning.
China, 17th Oct 2025 — On August 21, 2025, Agibot held its inaugural Partner Conference in Shanghai. As the theme of “Advancing with Intelligence, Embarking on a New Era”, the conference comprehensively showcased Agibot’s full-chain layout across “product, technology, business, ecosystem, capital, and team” through strategic announcements, demonstrations of eight scenario-based solutions, and immersive experiences with hundreds of robots. Leveraging the “One Body, Three Intelligences” full-stack technology architecture and a comprehensive product matrix for all scenarios, Agibot is collaborating with partners to accelerate the commercialization process of embodied intelligence and propel the industry from technological exploration to scale commercialization.
PART1. Collaborative Software and Hardware Builds a New Embodied Intelligence Ecosystem, with Multi-Scenario Coverage Accelerating the New Era of Commercial Embodied Intelligence
At the main forum, Deng Taihua, Chairman and CEO of Agibot, delivered an impactful opening speech. He proposed that the world is on the eve of the great explosion of embodied intelligence, with artificial intelligence rapidly advancing towards AGI. He stated that 2025 will be an inflection point for the commercial development of embodied intelligent robots, which will ultimately become the next generation of mass-market intelligent terminal, following phones and cars.
Adhering to its original aspiration of creating infinite productivity, Agibot aims to become a global leader in the intelligent robotics field, pioneer the general-purpose robot industry ecosystem, and accelerate the arrival of the era of general intelligence. Deng Taihua also elaborated on Agibot’s core strategy: guided by the goal of general-purpose, mass-produced humanoid robots, focus on building a full-stack software and hardware platform with strong intelligence and easy collaboration; progressively promote deployment in industrial, commercial, and home commercial scenarios; and ultimately build an application ecosystem for a general intelligent robot platform.
Although established less than three years ago, Agibot has already achieved numerous industry-leading milestones. The company continuously builds core product competitiveness around the “One Body, Three Intelligences” concept, achieving the industry’s only full-series, full-scenario product layout, and establishing a full-stack technology layout encompassing the body, cerebellum, and brain. In business operations, by continuously strengthening product capabilities and progressively deploying products suitable for different scenarios, it is gradually achieving cross-domain scale commercialization, maintaining strong business development momentum while continuously breaking into high-quality major client bases.
Deng Taihua emphasized that ecosystem co-creation is the core driver for the scaling of the embodied intelligence industry, explicitly listing it as one of the company’s core strategies. Agibot will pool global innovative forces through three main paths: open source, being integrated, and capital empowerment.
In terms of technology open source, Agibot has open-sourced the robot middleware AimRT and a million-unit real-robot dataset, and launched the first embodied intelligence operating system, “Lingqu OS”, thereby promoting the industry’s journey towards standardized, scaled, and ecosystem-driven development.
In building the business ecosystem, Agibot implements an Enablement Strategy, using its own platform technology to integrate the vertical capabilities of leading industry partners in R&D, market, delivery, etc., to create industry-specific embodied agents covering eight scenarios including guided reception, entertainment & commercial performances, intelligent manufacturing, and logistics sorting. Simultaneously, it is building a layered distribution system, effectively lowering the barrier to cooperation by clarifying responsibilities, rights, and benefits, and establishing incentive mechanisms.
Furthermore, to support early-stage innovation, Agibot launched the first startup acceleration program focused on the embodied intelligence industry chain—”Agibot Plan A”. This plan aims to incubate 50+ high-potential early-stage projects and build a trillion-yuan industrial ecosystem within three years. Agibot will provide participants with benefits including technical support, financing empowerment, scenario access, and entrepreneurial incubation. Deng Taihua announced on-site that the first startup cohort officially opened for applications globally from robot startups and developer teams on August 21, 2025.
Currently, the Agibot team is continuously expanding, with increasing talent density. On this foundation, Agibot also clearly presented its plans and goals for the next five years to its partners.
Deng Taihua concluded, “From technological breakthroughs to industry explosion, from Chinese innovation to global leadership, every step Agibot takes is inseparable from the support of our partners.” Agibot will work hand-in-hand with global partners to promote embodied intelligent robots as a new productive force that changes the world, jointly opening a new chapter in the intelligent era.
PART2. Interpretation of the “1+3” Full-Stack Technology Strategy＆Three Product Series Covering Diverse Scenarios
Peng Zhihui, Co-founder and CTO of Agibot, systematically interpreted the “1+3” full-stack technology strategy, building upon the robot body to develop three core capabilities: Motion Intelligence, Interaction Intelligence, and Task Intelligence. “We are not just making a few robots, but creating a base for a self-evolving general embodied intelligence agent,” he explained. Motion Intelligence enables robots to “walk steadily and move quickly,” achieving adaptive walking on complex terrain based on Sim2Real reinforcement learning. Interaction Intelligence allows them to “hear and understand, chat naturally,” with multi-modal dialogue response times reaching the one-second level. Task Intelligence tackles “grasping accurately and performing delicate tasks,” achieving a closed loop from grasping to fine manipulation through real-robot reinforcement learning. These three intelligences can be flexibly combined in robots of different forms, creating a “one set of capabilities, multiple carriers” technology flywheel.
Peng showcased Agibot’s three product series at the event: The YuanZheng (Expedition) series’ YuanZheng A2 is the industry’s first full-sized humanoid robot for scaled commercial deployment, having passed 2000+ hours of walking tests and obtained safety certifications in China, the US, and Europe. It focuses on guided reception and entertainment/commercial performances, supporting full-body customization. The JingLing (Genie) series’ JingLing G1 possesses native data collection and integrated collection-push capabilities. Paired with platforms like Genie Studio, it is suited for industrial, commercial, and other scenarios. LingXi X2 from the LingXi series is an agile, life-like, and 1.3 meters tall robot, covering scenarios like entertainment/commercial performances, store reception, and scientific research/education.
During the conference, Peng released “LinkCraft,” a robot motion and expression creation platform. Described as a disruptive, AI-powered multi-modal content generation and editing tool for robots, it features rich motion libraries, supports preview editing, motion import, choreography, and performance, reducing the barrier for robot secondary development to virtually zero. Peng emphasized that while robots are moving from labs to life and industry, “interaction and expression” remain bottlenecks, and partners/developers need simpler, more efficient ways to customize robot behavior. “LinkCraft’s vision is to make robots express as naturally as humans and let creators choreograph as freely as directors.” The platform is expected to rapidly enrich interactive forms across various scenarios, accelerating scenario co-creation and ecosystem deployment in commercial services, cultural entertainment, and other fields.
Additionally, Peng impressively unveiled the LingXi X2-W prototype – a wheeled dual-arm robot specifically designed for “Task Intelligence.” Just a month prior, Agibot’s innovative wheel-legged LingXi X2-N had already garnered widespread attention. The LingXi X2-W prototype further embodies the design philosophy of “becoming the smoothest native Task Intelligence body,” featuring core attributes such as an omnidirectional mobile base, high-DOF dual arms with bionic wrists, compact storage (footprint < 0.5㎡), dual power system switching, dexterous three-finger hands with tactile feedback, omnidirectional perception system, powerful edge computing unit, and low cost. Peng stated that the LingXi X2-W is currently in the prototype stage, but with continuous breakthroughs in algorithms and models, it is expected to become a benchmark for the next generation of embodied intelligence task robots.
“YuanZheng reaches out, JingLing gets the job done, LingXi wins hearts,” Peng emphasized, noting that the synergistic efforts of these three series will help Agibot accelerate rapidly. “Looking ahead three years, Agibot aims to achieve deployment of hundreds of thousands of general-purpose robots, support autonomous generalization across hundreds of tasks, and build an open, evolvable, self-growing general robot ecosystem.”
PART3. Business Initiatives: Multiple Measures to Improve Industry Development
Jiang Qingsong, Partner and Vice President of Agibot, stated that the company currently focuses on eight major scenarios in business: guided reception, entertainment/commercial performances, industrial intelligence, logistics sorting, security inspection, commercial cleaning, data collection/training, and scientific research/education. It has launched customized solutions and achieved large-scale applications across multiple industries.
To popularize promote technology and further scenario deployment, Jiang released the 2025 Partner Policy, proposing the construction of a multi-tier partner system. Based on the principle of “directing premium resources to premium partners,” it provides comprehensive support to jointly build a synergistic “technology-product-scenario” ecosystem and share industry dividends.
“Embodied intelligence is moving from the laboratory to all industries. Agibot not only has the industry’s most complete robot product family but has also built a channel system that allows partners to ‘board with low barriers and grow with high returns.’ The goal is to work with partners to truly convert AI’s creativity into customer productivity,” Jiang said.
Additionally, the conference featured four sub-forums, eight commercial scenario exhibition areas, and an AgiBot Night tech party. Through detailed product displays, case studies of scenario deployment, and immersive interactions, partners could directly experience the commercial capabilities of embodied intelligence.
As the industry’s first large-scale ecosystem gathering, the conference helped solidify consensus across the industry chain through the clear communication of its core strategy. In the future, Agibot will continue to join hands with partners to accelerate the commercial implementation of embodied intelligence, promote the industry’s shift from technological exploration to scale commercialization, and establish a new global benchmark for the embodied intelligence industry.
U7BUY, a global digital gaming marketplace, has announced the listing of Honkai Star Rail accounts featuring limited-time characters, expanding its catalog of game accounts and enhancing the options available to players of the popular title. This update reflects the platform’s continued commitment to supporting diverse player needs and ensuring secure access to digital assets.
The newly listed accounts include characters that have been available only during special events in Honkai Star Rail. These characters often feature unique abilities and are sought after by players who wish to broaden in-game strategies or enhance overall progression. The addition of such accounts offers opportunities for players to engage with the game at different stages and access content that might otherwise remain unavailable.
Anna, Marketing Director at U7BUY, commented on the announcement, “Honkai Star Rail continues to generate strong enthusiasm within the gaming community, particularly around its limited-time characters. The availability of accounts featuring these characters allows players to experience the game in new and engaging ways, while maintaining the emphasis on secure transactions and reliable support that defines U7BUY.”
U7BUY has developed its platform into a marketplace that facilitates the buying and selling of in-game currency, items, accounts, and power-leveling services. The platform is built around features such as encrypted transactions, customer support channels, and a community-driven hub with resources like blogs, guides, and updates. By adding Honkai Star Rail accounts featuring limited-time characters, the company continues its approach of broadening the range of available titles and items while maintaining transparency and user protection.
The listing underscores the dynamic nature of digital game economies, where player demand often shifts rapidly based on game updates, seasonal events, or the release of new content. Providing accounts with limited-time characters positions U7BUY as a responsive platform that adapts quickly to the evolving interests of players across the globe.
The inclusion of Honkai Star Rail accounts is also intended to stimulate engagement within U7BUY’s wider community hub. Through its content offerings—including guides on game mechanics, promotional updates, and tips for safe trading—the platform aims to provide a resource for both experienced gamers and newcomers alike. This integration of marketplace services with community-driven resources reinforces the platform’s role as more than just a trading venue, but also a hub for conversation and shared knowledge among players.
Anna, Marketing Director at U7BUY, also shared thoughts on the company’s direction, “The introduction of Honkai Star Rail accounts with limited-time characters represents a step forward in reflecting the community’s evolving preferences. Looking ahead, the focus will remain on adapting to the needs of players across multiple gaming titles, while continuing to strengthen the security, reliability, and community features of the marketplace.”
U7BUY is a digital gaming marketplace connecting millions of players worldwide. The platform supports the exchange of in-game currency, items, accounts, and power-leveling services across numerous titles. With an emphasis on encrypted transactions, reliable support, and an active community hub, U7BUY provides a secure and accessible environment for digital game trading.
For further information regarding the recent announcement and details on Honkai Star Rail boosting services, media inquiries can be directed to U7BUY. The company can be reached by phone at +0085254814835 or via email at press@u7buy.com.
U7BUY, a leading digital gaming marketplace, has expanded its offerings by introducing verified Pet Simulator 99 accounts, responding to the growing popularity of the Roblox game. This addition is aimed at meeting the increasing demand from players looking for high-quality in-game assets while ensuring secure and reliable transactions within the gaming community.
Pet Simulator 99, a widely popular game on the Roblox platform, has experienced significant growth in its player base in recent months. Known for its immersive gameplay and collectible pet features, the game has captured the attention of a global audience, resulting in a surge in demand for rare items, high-level accounts, and virtual goods. In response, U7BUY has curated a collection of verified accounts for players seeking to enhance their experience with exclusive pets and advanced in-game achievements.
Anna, Marketing Director at U7BUY, commented on the recent development: “The growth of Pet Simulator 99 has been remarkable, and U7BUY is committed to addressing the needs of players eager to progress within the game. Ensuring secure transactions and providing dependable services are central to the company’s values. The addition of these verified accounts reflects U7BUY’s dedication to offering a trusted platform where players can confidently buy and sell gaming assets.”
These verified Pet Simulator 99 accounts offer players access to a selection of exclusive pets, high-level achievements, and a variety of rare in-game items. All accounts listed on the U7BUY marketplace undergo a stringent verification process to ensure the quality and security of the transactions. This process is part of U7BUY’s broader effort to maintain the highest standards of safety, enabling players to focus on their gaming experience without concerns about potential scams or fraud.
The move to add verified Pet Simulator 99 accounts is one of several steps U7BUY is taking to expand its platform and respond to the needs of a growing gaming community. With millions of active users, U7BUY has solidified its position as a key player in the digital gaming marketplace, offering a broad range of services that include the sale of in-game currency, items, accounts, and power-leveling services across various popular titles.
Looking to the future, U7BUY remains focused on continuing to expand its offerings in line with evolving gaming trends. Anna further stated, “As the gaming industry evolves, U7BUY will continue to provide a trusted platform for players seeking in-game assets. The demand for verified accounts is expected to rise, and U7BUY is prepared to scale with the growing gaming community. Future plans include broadening the scope of services, ensuring players have the resources they need to enjoy their favorite games to their fullest.”
In addition to verified accounts, U7BUY offers a range of services designed to enrich the gaming experience. The platform is well known for its community-driven approach, offering blogs, guides, and promotional content that help players stay informed and engaged. Whether seeking advice on progressing through a particular game or finding deals on in-game items, U7BUY provides a comprehensive hub for gamers worldwide.
U7BUY’s commitment to secure, reliable, and vibrant marketplace services has earned it the trust of millions of players globally. With a focus on encryption, data security, and customer support, U7BUY continues to build its reputation as a leader in the digital gaming marketplace.
For inquiries, please contact U7BUY directly. The company can be reached by phone at +0085254814835 or via email at press@u7buy.com. U7BUY offers a range of services, including the purchase of verified Pet Simulator 99 accounts, ensuring a secure and seamless experience for gamers.
U7BUY, a global digital gaming marketplace, has announced the listing of Honkai Star Rail accounts featuring limited-time characters, expanding its catalog of game accounts and enhancing the options available to players of the popular title. This update reflects the platform’s continued commitment to supporting diverse player needs and ensuring secure access to digital assets.
The newly listed accounts include characters that have been available only during special events in Honkai Star Rail. These characters often feature unique abilities and are sought after by players who wish to broaden in-game strategies or enhance overall progression. The addition of such accounts offers opportunities for players to engage with the game at different stages and access content that might otherwise remain unavailable.
Anna, Marketing Director at U7BUY, commented on the announcement, “Honkai Star Rail continues to generate strong enthusiasm within the gaming community, particularly around its limited-time characters. The availability of accounts featuring these characters allows players to experience the game in new and engaging ways, while maintaining the emphasis on secure transactions and reliable support that defines U7BUY.”
U7BUY has developed its platform into a marketplace that facilitates the buying and selling of in-game currency, items, accounts, and power-leveling services. The platform is built around features such as encrypted transactions, customer support channels, and a community-driven hub with resources like blogs, guides, and updates. By adding Honkai Star Rail accounts featuring limited-time characters, the company continues its approach of broadening the range of available titles and items while maintaining transparency and user protection.
The listing underscores the dynamic nature of digital game economies, where player demand often shifts rapidly based on game updates, seasonal events, or the release of new content. Providing accounts with limited-time characters positions U7BUY as a responsive platform that adapts quickly to the evolving interests of players across the globe.
The inclusion of Honkai Star Rail accounts is also intended to stimulate engagement within U7BUY’s wider community hub. Through its content offerings—including guides on game mechanics, promotional updates, and tips for safe trading—the platform aims to provide a resource for both experienced gamers and newcomers alike. This integration of marketplace services with community-driven resources reinforces the platform’s role as more than just a trading venue, but also a hub for conversation and shared knowledge among players.
Anna, Marketing Director at U7BUY, also shared thoughts on the company’s direction, “The introduction of Honkai Star Rail accounts with limited-time characters represents a step forward in reflecting the community’s evolving preferences. Looking ahead, the focus will remain on adapting to the needs of players across multiple gaming titles, while continuing to strengthen the security, reliability, and community features of the marketplace.”
U7BUY is a digital gaming marketplace connecting millions of players worldwide. The platform supports the exchange of in-game currency, items, accounts, and power-leveling services across numerous titles. With an emphasis on encrypted transactions, reliable support, and an active community hub, U7BUY provides a secure and accessible environment for digital game trading.
For further information regarding the recent announcement and details on the Honkai Star Rail account for sale listings, media inquiries can be directed to U7BUY. The company can be reached by phone at +0085254814835 or via email at press@u7buy.com.
United Arab Emirates, 14th Oct 2025 – YieldSpace Technologies LLC, the visionary team behind YieldSpace (YSP), proudly announces the upcoming Initial Exchange Offering (IEO) on P2B Exchange – marking a major leap forward in the evolution of decentralized finance.
Unifying DeFi Staking and Farming Under One Intelligent Roof
In a rapidly shifting DeFi landscape, YieldSpace emerges as an AI-powered ecosystem built to simplify and enhance the yield experience. Instead of navigating dozens of platforms and strategies, users can now access curated yield pools optimized in real time by artificial intelligence.
Founded in 2023, the project’s mission is clear: to eliminate the complexity of manual yield management and provide sustainable, automated, and transparent income opportunities to all crypto investors – from retail users to institutions.
“We believe yield generation shouldn’t be a privilege for the technically skilled few. Our goal is to make DeFi earning smarter, safer, and accessible to everyone,” the YieldSpace team stated.
The Art of Yield, Perfected by Intelligence
YieldSpace operates on the Solana blockchain, known for scalability and low transaction costs. Its architecture integrates a multi-chain aggregator, enabling coverage across Ethereum, BNB, Polygon, and other leading protocols.
At the core lies an AI-optimized yield engine that continuously scans, evaluates, and reallocates assets across top DeFi protocols. By leveraging machine learning, the platform ensures maximum capital efficiency while minimizing exposure to impermanent loss or liquidation risks.
Key Innovations:
AI-Managed Yield Pools: Automated pool rotations, compounding, and exit triggers without user intervention.
Multi-Chain Coverage: Cross-protocol staking and farming across top networks.
Real-World Integration: RWA-backed utilities such as Visa Card spending and referral rewards.
Non-Custodial Wallet Security: Users maintain full control of their assets – no intermediaries.
Institutional-Grade Analytics: Real-time yield tracking and intelligent risk assessment dashboards.
These elements collectively define YieldSpace’s unique value proposition – a DeFi experience that’s intelligent, automated, and accessible.
Solving the Core Pain Points of DeFi
Traditional yield farming is time-intensive and error-prone. Manual strategies require constant monitoring, compounding, and reallocation. YieldSpace solves this by creating a frictionless environment, where AI algorithms handle:
Selecting the most profitable staking and farming opportunities
Rebalancing positions automatically for optimal returns
Executing entry and exit triggers to mitigate market volatility
The result: higher, more stable yields with zero technical overhead for the user.
The YSP Token – The Core of the Ecosystem
The native token, $YSP, serves as the backbone of the YieldSpace economy. It powers staking rewards, governance features, and future AI-driven modules within the ecosystem.
Holders of $YSP gain:
Access to exclusive smart yield pools
Increased reward multipliers
Participation in governance decisions shaping the protocol’s evolution
The project envisions a long-term sustainable model, balancing token utility with transparent economics and consistent growth potential.
This event allows early supporters to participate in the growth of one of the most promising AI + DeFi integrations. Following the IEO, YieldSpace plans to expand its staking ecosystem, introduce AI-powered yield vaults, and release its Visa Card integration, bridging digital yield with real-world usability.
About YieldSpace
YieldSpace Technologies LLC, registered in St. Vincent & The Grenadines, is a decentralized-finance innovator founded by a team of financial engineers and AI specialists with over 7 years of collective experience in blockchain and algorithmic yield optimization.
The company’s flagship product, YieldSpace (YSP), unifies yield farming and staking through automation and intelligence – making decentralized earning smarter, safer, and scalable for everyone.
U7BUY, a leading digital gaming marketplace, has announced the availability of secure Genshin Impact account sales in response to the latest 5-star character banner release. The development underscores the platform’s continued focus on providing safe and reliable services for the global gaming community.
The arrival of a new 5-star banner in Genshin Impact consistently sparks interest among players seeking expanded gameplay experiences and access to high-level accounts. In recognition of this demand, U7BUY has implemented enhanced measures that allow accounts to be bought and sold under strict security protocols. These measures include encrypted data transmission, structured verification procedures, and an integrated support framework designed to safeguard transactions from start to finish.
“Player engagement surrounding new Genshin banners remains consistently strong, and this latest update has reflected that enthusiasm,” said Anna, Marketing Director at U7BUY. “By enabling secure account sales, the marketplace delivers a safe avenue for those seeking new experiences without compromising trust or transparency.”
U7BUY positions itself as a hub where digital gaming exchanges are carried out with protection and clarity. The platform applies a multi-layered security approach, combining encrypted data channels, monitored transaction flows, and a responsive support team available to address inquiries and resolve disputes. These steps enable Genshin Impact account transactions to take place with minimized risks, a concern that often surrounds account trading in less regulated environments.
In addition to transactions, U7BUY provides a community hub with blogs, guides, and curated content designed to inform players about updates and practices. The inclusion of secure account sales within this broader community framework reinforces the marketplace’s role as a trusted partner for millions of gamers.
The growing scale of in-game account trading has sparked significant discussions regarding safety and responsibility. U7BUY’s decision to support Genshin Impact accounts demonstrates awareness of prevailing market trends while maintaining a neutral stance on gameplay outcomes. The focus remains on creating a structured environment where exchanges are conducted with integrity, rather than emphasizing any perceived advantages of higher-level accounts.
The latest banner release has not only renewed interest among players but has also increased demand for specialized digital marketplaces. U7BUY’s secure approach to account sales arrives at a time when concerns regarding scams and unauthorized trading remain pressing in the industry. This development presents an alternative shaped by oversight, accountability, and transparent practices.
As the digital gaming economy expands, marketplaces such as U7BUY face the challenge of adapting to evolving player expectations and publisher policies. Account sales represent one segment within a larger ecosystem that includes in-game currency exchanges, item trading, and power-levelling services. Across each area, the company highlights an emphasis on security and structured engagement.
“Gaming culture continues to develop, and player needs are in constant motion,” Anna added. “Future initiatives at U7BUY will focus on strengthening safeguards, enhancing transparency, and supporting engagement in ways that reflect the long-term growth of the global community.”
U7BUY is a digital gaming marketplace where players buy and sell in-game currency, items, accounts, and power-levelling services across a wide range of titles. The platform is recognized for secure transactions, encrypted data handling, and responsive customer support. In addition to trading services, U7BUY maintains a community hub with blogs, guides, and curated content that keep players informed about gaming trends and updates.
For media inquiries regarding U7BUY and its services, including the secure options available to sell Genshin account listings, the press team can be contacted directly. U7BUY is based in Hong Kong and may be reached by phone at +0085254814835 or via email at press@u7buy.com.
U7BUY, a trusted digital marketplace for gaming enthusiasts worldwide, has announced the launch of specialized Genshin Impact boosting services. The new offering responds to heightened interest among players seeking assistance with high-level content and complex progression challenges within the game.
The addition of Genshin boosting to U7BUY’s platform reflects the evolving dynamics of the global gaming community. As Genshin Impact continues to release new characters, regions, and limited-time events, players have expressed a growing demand for structured support to navigate difficult quests and endgame mechanics.
U7BUY, recognized for facilitating secure and reliable digital game transactions, has developed this service to address the gap between casual engagement and advanced in-game achievements. The boosting service offers tailored solutions to assist players in achieving milestones while maintaining data security and confidentiality.
“Genshin Impact has created a unique space in modern gaming, combining exploration, cooperative experiences, and a steady flow of fresh content,” said Anna, Marketing Director at U7BUY. “The introduction of boosting services is a direct response to the needs of players who want to enjoy the game’s expansive universe without being hindered by time constraints or repetitive barriers. This initiative is about providing options to enhance the overall experience.”
The global gaming sector has experienced steady growth over the last decade, with titles like Genshin Impact redefining the scope of free-to-play models. Complex content updates and seasonal events have intensified the pressure on players to maintain progress. U7BUY’s decision to introduce Genshin boosting services aligns with this industry shift, ensuring the platform remains relevant and adaptable to emerging trends.
In addition to the newly launched boosting option, U7BUY continues to host a wide marketplace where millions of gamers exchange in-game currency, items, accounts, and leveling services across numerous titles. The marketplace emphasizes secure transactions, encrypted data handling, and consistent customer support. Beyond its commercial role, the company maintains a community-focused hub that provides gaming guides, news, and promotional content, fostering engagement across different player groups.
The introduction of boosting services for Genshin Impact highlights a broader vision for U7BUY: creating a marketplace that responds not only to transactional needs but also to the shifting culture of gaming. By offering services that balance convenience with security, the company strengthens its connection to a diverse audience of players.
This approach has been shaped by continuous observation of the gaming ecosystem, where titles evolve rapidly and players seek assistance to keep pace with new demands. By integrating feedback and monitoring player behavior, U7BUY aims to provide services that are practical, transparent, and respectful of community expectations.
The launch of Genshin boosting marks only the beginning of an extended roadmap for U7BUY. The company anticipates continued growth in demand for flexible and secure support systems within online games. As players expand their engagement across genres and platforms, services that simplify progression are expected to become increasingly valuable.
“The gaming landscape is moving toward greater complexity, with titles incorporating deeper narratives, competitive elements, and evolving economies,” Anna added. “Future plans involve exploring additional services and technologies that can streamline experiences while ensuring safety and fairness. U7BUY is committed to adapting alongside the community and contributing to a balanced digital ecosystem.”
U7BUY, based in Hong Kong, can be reached by phone at +0085254814835 or by email at press@u7buy.com for media inquiries and further details about its services, including the newly introduced Genshin boosting option.
United States, 13th Oct 2025 – As automation continues to reshape financial markets, MasterQuant has unveiled a new system built to enhance the precision and transparency of bot trading. The platform’s latest update reflects a growing demand for advanced tools that blend algorithmic intelligence with real-time market adaptability.
This launch highlights a broader shift toward data-driven decision-making, where AI algorithms are now central to identifying opportunities, managing risk, and improving trade execution efficiency. By leveraging adaptive models that respond to changing market conditions, MasterQuant aims to bring greater accuracy and accountability to automated trading systems at a time when digital finance is advancing faster than it used to.
Advancing Market Stability Through Smarter Automation
The upgraded bot trading system from MasterQuant is built around a layered intelligence framework. Each layer performs a specific function—data capture, pattern recognition, execution timing, and risk calibration—allowing for a structured and transparent approach to automation. Instead of relying solely on predefined signals, the system continuously analyses live market data to refine its actions.
At the center of this architecture are proprietary AI algorithms designed to interpret big datasets, detect subtle correlations, and make data-based trading adjustments. This capability reduces human bias and improves reaction time in volatile markets while maintaining strict operational oversight.
Given the regulatory momentum across global markets, MasterQuant’s focus on transparency and compliance is also timely. The platform records each transaction with a verifiable audit trail, enabling users to track how and when trades occur. This structure aligns with emerging expectations for oversight in algorithmic systems, ensuring that automation enhances—not replaces—human judgment in financial decision-making.
The platform’s modular design also supports integration across multiple liquidity sources and market data providers. This flexibility allows MasterQuant’s system to adapt to various trading environments, whether in digital assets, commodities, or broader financial assets.
Balancing Automation With Human Oversight in Financial Technology
As interest in AI algorithms grows across the financial technology landscape, questions about risk management and system accountability have become central. MasterQuant addresses this by incorporating multiple safety checkpoints throughout its automation channel. Each decision passes through validation layers designed to minimize execution errors and prevent market exposure beyond predefined thresholds.
This approach represents a balance between autonomy and oversight—ensuring that automation operates within human-defined limits. It also introduces adaptive controls that monitor market volatility in real time, allowing the system to automatically adjust parameters in unpredictable conditions.
In addition, MasterQuant’s research team continues to refine the mathematical models behind its automation engine. The system draws from a combination of supervised and unsupervised learning methods, enabling it to identify emerging market behaviors even in datasets that would typically overwhelm traditional models.
By focusing on AI and transparent logic, the platform contributes to an ongoing global discussion about the responsible use of automation in finance. Its design idea centers on human-machine collaboration, where AI algorithms enhance analytical capacity but ultimate control remains with the user.
About MasterQuant
MasterQuant is an AI-powered quantitative platform specializing in intelligent automation and data-driven investment strategies. Its systems combine advanced AI algorithms with structured analytics to enable precise, efficient, and transparent bot trading across multiple markets. With a foundation in quantitative research and algorithmic design, MasterQuant continues to develop solutions that align with the growing demand for accountability, performance, and clarity in modern financial technology.
Contact Info:
Email: support@masterquant.com
Location: 45 Fremont St, San Francisco, CA 94105, USA
Disclaimer: The information provided in this press release is not a solicitation to buy or sell any investment, nor is it investment advice, financial advice, or trading advice. Cryptocurrency trading involves risk, and you can lose money. Please do your own due diligence and consult with a financial advisor before investing or trading in cryptocurrencies and securities.
