Press Release
The United Nations Sciences and Technology Organization announced 53 prestigious scholars as the first members of its Academy
The United Nations Sciences and Technology Organization recently announced 53 prestigious scholars as the first members of the Academy of the United Nations Sciences and Technology Organization (AUNSTO).
The Academy of the United Nations Sciences and Technology Organization (abbreviated as AUNSTO) is an academic wing to the United Nations Sciences and Technology Organization. The intention of the Academy is to unite worldwide scientific and technological talents and to explore revolutionary scientific and technological issues. The objective of the AUNSTO is to establish a global talent pool, highlighting the leading talents and backbones emerging in global scientific and technological innovation, building a high-end talent platform to show scientific and technological innovation, serving industrial improvement and making positive efforts for serving humankind.
There are 20 scientific divisions in the AUNSTO, including life and health, artificial intelligence and electronic technology, network and information engineering, bioengineering, aviation and aerospace, equipment and manufacturing, chemical engineering, metallurgy and materials, geography and oceanography, energy and mining, civil and hydraulic engineering, environmental and ecological engineering, agricultural sciences and technology, engineering management, sciences and technology, future exploration, financial sciences, peace messenger, social sciences and smart city management. The full members (academicians, fellows) of the AUNSTO are composed of scientists and engineers with global reputation. In principle, the Academy requires that the candidates must be already members for a national academy of sciences or a national academy of engineering before becoming a full member of the AUNSTO. The election of new members from the AUNSTO is held once a year, with no more than five members being elected from per division.
The AUNSTO abides by the Charter of the United Nations, carrying out works under the guidance of the local national laws and regulations, and promoting global high-end talent exchanges, scientific and technological innovation and project cooperation, participating in global scientific and technological exchange, discussing global scientific and technologic competition, and promoting in-depth cooperation in general sciences and technology. Regarding the development of global industries, the AUNSTO will conduct in-depth exchanges and docking, promote the transformation of technological achievements and implement the development of projects. The AUNSTO will also promote exchanges and cooperation among scientists, and promote the training of scientific and technological personnel as well.
The members elected are listed as follows:
Michael Saunders
Member of the Academy of the United Nations Sciences and Technology Organization, and Honorary Fellow of the Royal Society of New Zealand; Mathematician, 2004 ISI Highly Cited Researcher in Computer Science and 2007 ISI Highly Cited Researcher in Mathematics; Research Professor to Stanford University.
Xuesi Chen
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Chinese Academy of Sciences; Polymer Chemistry and Physics Scientist; Professor to Changchun Institute of Applied Chemistry, Chinese Academy of Sciences.
Mohamed Jamal Deen
Member of the Academy of the United Nations Sciences and Technology Organization, Fellow of the Academy of Science of the Royal Society of Canada, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Foreign Member of the Chinese Academy of Sciences, Foreign Member of the Indian National Academy of Engineering, Foreign Member of the Indian National Science Academy, Foreign Member of the European Academy of Sciences and Arts, and Fellow of IEEE/APS/AAAS/ECS; Nanotechnology and Data Analytics Expert; Former President of the Academy of Science of the Royal Society of Canada, and Distinguished Professor to McMaster University.
Chunjiang Zhao
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the Chinese Academy of engineering; Agricultural information expert; Director and Chief Scientist of the Beijing National Agricultural Information Engineering Technology Research Center at the Academy of agriculture and Forestry Sciences, and Chief Scientist of the National Agricultural Intelligent Equipment Engineering Technology Research Center.
Qingxi Tong
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Chinese Academy of Sciences, and Member of the International Eurasian Academy of Sciences; Remote sensing scientist; Professor to the Institute of aerospace information innovation at the Chinese Academy of Sciences, and director of the Institute of remote sensing and GIS, Peking University.
Anthony P.F. Turner
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Royal Swedish Academy of Engineering Sciences, Foreign Associate of the USA National Academy of Engineering, and Fellow of the UK Royal Society of Chemistry; Biotechnology scientist; Professor Emeritus to Cranfield University, UK.
Linjiang Yang
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Natural Sciences, and Foreign Member of the Russian Academy of Engineering; Asphalt technology experts enjoying the special allowance of the State Council, Chairman of the Organizing Committee of the International Academician Conference; Chief Scientist of the Lanting construction group.
Jiangxing Wu
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the Chinese Academy of engineering; Expert in communication and information systems, computer and network technology, and cyberspace security technology; Director of China National Digital Switching System Engineering & Technological R&D Center, and Founder of the Cyber Mimic Defense and China’s large-capacity digital SPC switch.
Songjun Li
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Full Member of the Russian Academy of Natural Sciences, Foreign Member of the Ukrainian Academy of Engineering Sciences, and Fellow of the UK Royal Chemical Society; Polymer materials expert, and Mathematics and physics expert; President of the AUNSTO, and Dean of and Distinguished Professor to the Research School of Polymeric Materials at Jiangsu University.
Vladimir L. Katanaev
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the International Eurasian Academy of Sciences (Europe Center); Full Professor and Chair in Translational Oncology Department of Cell Physiology and Metabolism, Translational Research Centre in Oncohaematology, Faculty of Medicine, University of Geneva, Switzerland.
Steve Shyh-Ching Chen
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the US National Academy of Engineering, and Member of the American Academy of Arts and Sciences; Supercomputer expert, Founder, CEO and Chairman of the Third Brain Research Institute of the United States, and Chief Scientist of the Institute of Brain and Cognitive Sciences at Tsinghua University; On the cover story of Times Magazine on 28th March 1988.
Yubin Lan
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the European Academy of Sciences, Arts and Humanities (EASAL), Foreign Full Member of the Russian Academy of Natural Sciences, Foreign Member of the Georgian National Academy of Science; Precision Agricultural Aviation (PAA) expert; President of the International Society of Precision Agricultural Aviation (ISPAA), Chair of the CIGR Precision Aerial Application Working Group, and Director and Lead Scientist of National Center for the International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology (NCPAA).
Laurence Tianruo Yang
Member of the Academy of the United Nations Sciences and Technology Organization, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Foreign Member of the Academia Europaea, and Fellow of IEEE/IET; Computer Scientist; Clarivate Highly Cited Scholar, and ACM Distinguished Scientist; Chair Professor of St. Francis Xavier University and Hainan University.
Yong Bai
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Norwegian Academy of Technical Sciences, and Fellow of the American Society of Naval Architects and Marine Engineers; Experts in ships and ocean structures, subsea pipelines and cables, and hydrogen storages; Professor to the School of Architectural Engineering at Zhejiang University.
Schahram Dustdar
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Academia Europaea, Fellow of IEEE/AAIA and ACM Distinguished Scientist; Computer Scientist; Chairman of the Informatics Section of the Academia Europaea; Professor to the Vienna University of Technology.
Xiaoping Ren
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Full Member of the Russian Academy of Natural Sciences, Fellow of the International College of Surgeons; President and Chief Scientist of the Global Initiative to Cure Paralysis; Chairman of and Professor to Orthopedics Institute, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine.
Xianping Yao
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Full Member of the Russian Academy of Natural Sciences, and Fellow of the Chinese Chemical Industry and Engineering Society of China; Biomass material expert; Dean of the Hangzhou Research Institute of Chemical Industry, and Director of and Professor to the National Eng &Tech Research Center for Paper Chemicals.
Qun Jin
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Engineering Academy of Japan; Computer Scientist and Human Informatics Expert; Professor to Waseda University, Japan.
Bowei Wang
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Ukrainian Academy of Engineering Sciences; Materials scientist; Director of the pilot platform for scientific and technological achievements of Foshan’s college-level research on special functional materials, and Chairman and chief scientist of the Guangdong Linzhi Science and Technology Group Co., Ltd.
Siwen Bi
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Natural Sciences, and Member of the International Eurasian Academy of Sciences; Experts in quantum remote sensing, quantum spectral imaging, smf digital human body, and earth system; Professor to the Aerospace Information Research Institute at the Chinese Academy of Sciences, and Chair of the American SPIE Quantum Remote Sensing International Conference.
Zhanfeng Cui
Member of the Academy of the United Nations Sciences and Technology Organization, and Fellow of the Royal Academy of Engineering, UK; Expert in Chemical Engineering and Biomedical Engineering; Donald Pollock Professor at Chemical Engineering, University of Oxford, UK.
Abdulmotaleb El Saddik
Member of the Academy of the United Nations Sciences and Technology Organization, Fellow of the Academy of Science of the Royal Society of Canada, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, and Fellow of IEEE; Computer Scientist; Distinguished Professor to the University of Ottawa.
Dongfang Wu
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Ukrainian National Academy of Sciences, Foreign Member of the Ukrainian Academy of Engineering Sciences, and Fellow of the World Academy of Productivity Sciences; Sensing technology expert; Chief scientist of the Guanglan Internet of things Technology Co., Ltd.
Jincai Yang
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the European Academy of Sciences, Arts and Letters (EASAL), Foreign Member of the Russian Academy of Natural Sciences; Chairman of the World UAV Federation, Dean of the Shenzhen Rainbow Eagle Artificial Unmanned System Institute, and Chairman of the Shenzhen UAV Industry Association.
Fuji Ren
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Engineering Academy of Japan, Member of the EU Academy of Sciences, Fellow of the Japan Federation of Engineering Societies, Fellow of the Chinese Association for Artificial Intelligence, and Fellow of the Institute of Electronics; Information and Communication Engineers, Artificial intelligence scientist, and Emotional robot expert; Professor to Tokushima University, and President of the AIA International Advanced Information Institute, Japan.
Huili Gong
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Engineering, Foreign Member of the Russian Academy of Natural Sciences, and Member of the International Eurasian Academy of Sciences; Information hydrogeology expert; Professor to Capital Normal University.
Zhihua Deng
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the International Eurasian Academy of Sciences; Socio-economic history and innovation and entrepreneurship expert; Assistant Secretary-General of the Chinese Science Center of the International Eurasian Academy of Sciences, and Member of the Investment and Financing Expert Committee of the Chinese Financial Society.
Peizeng Xie
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Russian Academy of Natural Sciences; Neurosurgery and biological experts; President of and Professor to Shenzhen New Journey Life Science Institute.
Jie Li
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Japanese Academy of Engineering; Computer experts; Professor to Shanghai Jiaotong University.
Li Jia
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the International Eurasian Academy of Sciences, and Fellow of the American Association of Pharmaceutical Scientists; Pharmaceutical Experts; Director of the Marine Biology and Drug Research and Development Center at the Institute of Oceanography, Minjiang University.
Hui Lin
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the International Eurasian Academy of Sciences; Experts in GIS and remote sensing; Dean of the School of Geography and Environment at Jiangxi Normal University, Professor to Chinese University of Hong Kong.
Xiaoyue Xiao
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Associate of the Instituto de Engenharia in Brazil; Materials chemist; Distinguished Professor to Zhejiang Institute of Advanced Technology, Chinese Academy of Sciences, Academic director of the National Center of Graphene Products Supervision and Testing (Shandong) and Acting director of the Research Institute of Graphene, Qingdao DT Nanotech Co., Inc.
Jianping Lang
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the European Academy of Sciences, Chinese National distinguished Professor, and Fellow of the UK Royal Society of Chemistry; Inorganic Materials Expert; Chair Professor to Soochow University.
Sun An
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Full Member of the Russian Academy of Natural Sciences; Nuclear science and engineering expert, and Material engineering expert; Chief Scientist & Director of and Professor to the Accelerator Center at Nanjing University, President of the Academy of the Nanjing Proton Source Technology and Engineering.
Jitai Niu
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Full Member of the Russian Academy of Natural Sciences; Material welding expert; President of the International Federation of Physical and Numerical Simulation of Materials Processing; Professor to Harbin Institute of technology, distinguished Professor to Henan University of technology, and Chairman of the Henan Jingtai aerospace high tech materials technology Co., Ltd.
Jinde Cao
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Academia Europaea, Foreign Member of the Russian Academy of Engineering, Member of the European Academy of Sciences and Arts, Foreign Member of the Russian Academy of Natural Sciences, Foreign Fellow of the Pakistan Academy of Sciences, Fellow of the African Academy of Sciences, Foreign Member of the Lithuanian Academy of Sciences, IASCYS academician, and IEEE Fellow; Expert in Mathematics and System Sciences; Chair Professor and Dean of the School of Mathematics at Southeast University, and Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence.
Faquan Wu
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Full Member of the Russian Academy of Natural Sciences; Engineering geologist and rock dynamicist; Professor to Shaoxing University, Chief scientist of the Rock Innovation Co. Ltd., and Vice-President of the International Association of Engineering Geology and the Environment.
Shuanggen Jin
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Academia Europaea, Member of the European Academy of Sciences, Member of the Russian Academy of Natural Sciences, Member of the Turkish Academy of Sciences, IUGG Fellow, and IAG Fellow; Expert in Satellite Navigation and Remote Sensing; Professor to Shanghai Astronomical Observatory, Chinese Academy of Sciences; Dean of and Professor to the School of Remote Sensing and Geomatics, Nanjing University of Information Science and Technology.
Chunming Rong
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the Norwegian Academy of Technological Sciences; Computer expert; Professor to the University of Stavanger, Norway.
Desheng Wu
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the Academia Europaea, Member of the European Academy of Sciences, and Member of the International Eurasian Academy of Sciences; Expert in economics and management; Professor to the University of Chinese Academy of Sciences, associate dean of the School of Economics and Management and associate dean of the International College at Chinese Academy of Sciences.
Anjun Jerry Jin
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Natural Sciences, Fellow of the International Association of Advanced Materials, Research Fellow of the Case Western Reserve University USA; IC Semiconductor expert, Renewable Energies expert, and Applied Physics expert; Chief scientist of the China Huaneng Group, Distinguished Professor to Ningbo University, China.
Jasonyang Xue
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Full Member of the Russian Academy of Natural Sciences; AI assisted diagnosis and treatment experts, and health care big data expert; Director of the health and medical big data research center at Qingdao University, and director of and professor to the thousand people innovation industry technology research institute.
Xianlei Wang
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Full Member of the Russian Academy of Natural Sciences; Metasynthetic engineering system expert, and Economic and social issues expert; Director of and Professor to the postdoctoral station of China Center for International Economic Exchange, Professor to the University of Chinese Academy of Sciences, and Research Professor to Chinese Academy of Social Sciences.
Yu Gu
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign member of the Russian Academy of Natural Sciences; Expert in the fields of Instrumentation & Measurement Technology and Intelligent Manufacturing; Professor to Capital Medical University.
Xinli Zhao
Member of the Academy of the United Nations Sciences and Technology Organization, Member of the International Eurasian Academy of Sciences; Expert in management, information, and aerospace manufacturing engineering; Leading Researcher/Professor to the Ministry of Science and Technology of China, Senior Fellow of China Science and Technology Exchange Center, Senior Adviser of China Science and Technology Policy Research Center at Tsinghua University, and Former Minister Counsellor for the Science and Technology of the Permanent Mission of China to the United Nations.
Xianping Ding
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Natural Sciences, Life science expert and medical geneticist; Director of and Professor to the Institute of Genetics and Medicine at Sichuan University.
Yong Huang
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Ukrainian Academy of Engineering Sciences; Expert in transportation engineering, Green environmental protection engineering, new material, and Disaster Prevention and Mitigation Engineering Geology; Distinguished Professor to Tongji University, Distinguished Professor to Chengdu University of Technology, and Distinguished Professor to Xinjiang University; an expert enjoying the government special allowance of the State Council of China; Chief Engineer of the Xinjiang Communications Construction Group Co., Ltd.
Huiming Tang
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Russian Academy of Engineering, Foreign Member of the Russian Academy of Natural Sciences, and Foreign Member of the Russian International Academy of Mineral Resources; Engineering geology and geological disaster expert, Chief Scientist of the National Basic Research Program of China, and Chief scientist of the Major Program of the National Natural Science Foundation of China; Chair Professor at Geological Engineering, China University of Geosciences, Wuhan.
Fawang Zhang
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Member of the Russian Academy of Natural Sciences; Expert on hydrogeological and environmental geology, and eco-environmental protection; assistant chief scientist of the National Major Basic Research Project (973); tracking expert of the National Major Research and Development Plan Project; Party Secretary & Second-level Research Professor of the Center of Hydrogeological and Environmental Geology Survey, China Geology Survey.
Changgen Feng
Member of the Academy of the United Nations Sciences and Technology Organization, and Fellow of the International Eurasian Academy of Sciences; National safety production experts; Vice President of the 8th National Committee of the China Association for Science and Technology, and Professor to Beijing Institute of technology.
Yi Pan
Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of the Ukrainian Academy of Engineering Sciences, Fellow of the American Institute for Medical and Biological Engineering, and Fellow of the Royal Society of Public Health; Dean and Chair Professor to Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, and Regents’ Professor Emeritus to Georgia State University.
Weihong Cui
Member of the Academy of the United Nations Sciences and Technology Organization, and Member of the International Eurasian Academy of Sciences; Geoinformation Scientist; Former secretary General of the Chinese Center for the IEAS, and Deputy Director of the Department of Geo-Information Sciences.
Ke Liu
Member of the Academy of the United Nations Sciences and Technology Organization, and Foreign Fellow of the Australia Technological Sciences and Engineering; Energy expert; Chair Professor to and Dean of the Clean Energy Institute, and Dean of the College of Innovation & Entrepreneurship at the Southern University of Science & Technology.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Amadeus Acquires Bitte to Power Private, Deterministic and Self-Improving Trading Agents
Strategic acquisition combines Bitte’s proven trading agent platform and developer ecosystem with Amadeus Protocol’s private, deterministic infrastructure.
Tortola, BVI, 4th February 2026, ZEX PR WIRE, Amadeus Protocol, the AI-native Layer 1 for private, deterministic, self-improving agents, today announced the strategic acquisition of Bitte.ai (formerly Bitte Protocol / Mintbase) for $1.7 million paid in $AMA. The deal unifies Amadeus’ approach to developing infrastructure for private and deterministic agents, with Bitte’s battle-tested agentic trading product, user base and integrations.

Bitte brings a live, multi-chain network of 24,164 unique users, 2.85M+ messages across 344k+ chats, and 16,703 registered agents. The majority of these users are EVM-native, directly aligning with Amadeus’ initial go-to-market focus on prediction markets, DEXs and exchanges.
Amadeus is a high-performance Layer 1 that combines Useful Proof of Work (uPoW), turning mining into useful AI computation, with a deterministic agent runtime, on-chain learning history and Trusted Execution Environments (TEEs)-backed privacy pools. Together, these enable agents that are replayable, auditable, and privately executed at the base layer.
Since 2018, the Bitte (formerly Mintbase) team has been at the forefront of practical application development, pioneering digital asset solutions before the technology reached mainstream adoption. Their engineering pedigree includes groundbreaking implementations at major industry events such as NFT.NYC and Berlin Blockchain Week.
Bitte has spent years building consumer-facing Web3 applications and, more recently, agentic trading flows on top of DEXs and on-chain venues. With the acquisition, those ideas are being rebuilt as protocol-native agents on Amadeus.
“Bitte proved that users want to interact with agents to manage trades and build investment strategies,” said Leslie Kivit, Co-Founder of Amadeus. “We have now combined Bitte’s product, data and integrator network with Amadeus’ private and deterministic agent runtime. Every user on Amadeus will be able to run their own autonomous self-improving agent through simple text commands on every chain. For partners like exchanges and prediction markets, we offer an embedded agent that makes complex features accessible through natural conversation.”
The integration focuses on three key pillars:
- Unified Interface: Bitte’s workflow engine, UX components and lessons from 2.8M+ historical agent messages will be integrated into Amadeus.
- Amadeus Trading Fabric: Bitte’s existing exchange and DeFi connectors will plug into Amadeus as venue adapters, feeding a unified, CRDT-style orderbook. High-value Bitte agents will be re-implemented as deterministic agents with on-chain learning histories.
- Community: Bitte’s partners, developers, and users will transition to the Amadeus ecosystem. The Agent Launchpad is live from today on bitte.ai. Additional agents and features will be released over the coming weeks. To accelerate adoption, Amadeus is waiving all deployment and usage fees for agents. Partners including decentralized exchanges and prediction markets can integrate Amadeus agents at no cost.
Effective immediately, all Bitte assets, intellectual property, and technology platforms will be integrated into Amadeus Protocol’s broader innovation portfolio. The Amadeus team thanks the Bitte community, early supporters, and partners who made this milestone possible.
About Amadeus Protocol: Amadeus Protocol is the privacy settlement layer for agents. The network combines verifiable agent execution with privacy-preserving infrastructure, enabling agents that learn, adapt, and execute across multiple chains.
About Bitte.ai: Bitte.ai is an AI agent platform enabling users to deploy trading strategies through natural language. Since 2018, the team has built consumer blockchain applications serving artists, creators, and traders.
www.ama.one
info@ama.one
https://x.com/amadeusprotocol
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
BikesDirect Strengthens Its Role as the Leading Factory-Direct Bicycle Source in 2026
- Industry-Leading Value, Transparent Pricing, and Expanded Selection Continue to Set Bikesdirect Apart as Rider Demand Grows Nationwide
Jacksonville, FL, 4th February 2026, ZEX PR WIRE, As cycling continues its steady evolution from niche hobby to mainstream lifestyle choice, Bikesdirect is reinforcing its position in 2026 as the leading destination for factory-direct bicycles, offering riders nationwide unmatched value, selection, and transparency at a time when affordability and performance matter more than ever.
With growing interest in cycling for fitness, commuting, recreation, and exploration, consumers are increasingly scrutinizing how and where they buy their bikes. In that landscape, Bikesdirect’s direct-to-consumer model—cutting out traditional retail markups while delivering performance-focused designs—has emerged as a defining advantage. The company’s continued growth reflects a broader shift in consumer expectations: riders want quality without inflated pricing, clarity without gimmicks, and access to bikes that fit real-world riding needs.
“Cycling has changed, and so has the way people shop for bikes,” said a Bikesdirect spokesperson. “Riders are more informed than ever. They understand components, geometry, and value. Our role is to meet that knowledge with honesty, consistency, and factory-direct pricing that makes sense.”
At the core of Bikesdirect’s success is a straightforward approach that has remained consistent even as the industry has evolved. By working directly with manufacturers and eliminating layers of distribution, Bikesdirect delivers bicycles that would typically carry significantly higher price tags in traditional retail environments.
This model has proven especially relevant in recent years, as rising costs across shipping, materials, and retail overhead have pushed bike prices higher industrywide. While many retailers have struggled to balance price increases with customer expectations, Bikesdirect’s factory-direct structure has allowed the company to maintain competitive pricing without sacrificing component quality or ride performance.
The result is a catalog that spans nearly every riding category—from road and gravel to mountain, hybrid, cruiser, electric, and youth bikes—while remaining accessible to both first-time buyers and experienced cyclists seeking performance upgrades.
Industry observers note that this approach has positioned Bikesdirect as a value benchmark rather than a discount outlet. The company’s bikes are not built to chase trends or inflate feature lists but to deliver functional performance aligned with how people actually ride.
In 2026, the cycling audience is more diverse than ever. Riders are not defined solely by racing ambitions or trail intensity. Many are commuters seeking efficiency, fitness riders prioritizing comfort, families introducing children to cycling, or adventure-minded cyclists exploring mixed terrain at their own pace.
Bikesdirect’s product strategy reflects that diversity. Hybrid bikes continue to attract riders looking for flexibility across pavement and paths. Gravel bikes are drawing those interested in endurance and exploration without the rigidity of traditional road cycling. Mountain bikes remain a cornerstone for off-road enthusiasts, while cruisers appeal to riders who value simplicity and comfort. Electric bikes have expanded access further, allowing more people to ride longer and more frequently.
According to Bikesdirect, one of the defining trends of 2026 is the decline of one-size-fits-all retail sales. Riders increasingly seek bikes that match their lifestyle rather than forcing their lifestyle to fit a bike.
“We’re seeing customers who know exactly how they want to ride,” the spokesperson said. “They don’t want to be upsold into something they don’t need. They want a bike that fits their use case, their budget, and their long-term goals.”
Beyond pricing, Bikesdirect has leaned heavily into transparency as a core differentiator. Each product listing emphasizes detailed specifications, component breakdowns, geometry insights, and clear explanations of what riders are getting for their investment.
In an industry where marketing language can sometimes obscure meaningful differences between models, Bikesdirect has found that clarity builds trust. Customers can compare bikes based on real performance indicators rather than vague branding tiers.
Customer feedback suggests that this transparency reduces purchase anxiety, especially for riders who may not have access to a local specialty shop or prefer to research independently before buying.
As online shopping continues to dominate consumer behavior, Bikesdirect’s emphasis on education and clear communication has become a critical part of its value proposition.
The cycling industry has experienced significant volatility in recent years, from supply chain disruptions to shifting demand cycles. Throughout those fluctuations, Bikesdirect has focused on consistency—maintaining reliable product availability, straightforward policies, and predictable pricing structures.
This stability has resonated with riders frustrated by sudden price changes, limited stock, or unclear product positioning elsewhere in the market. For many customers, Bikesdirect represents a dependable option in an otherwise fragmented retail environment.
Industry analysts point to this consistency as a key reason the brand continues to attract repeat buyers. Riders who purchase their first bike through Bikesdirect often return later for upgrades, accessories, or additional bikes for family members.
Bikesdirect’s reputation has been shaped not by short-term promotions but by long-term customer relationships. Thousands of verified customer testimonials highlight experiences ranging from first-time bike ownership to multi-bike households built entirely through Bikesdirect purchases.
These testimonials frequently cite value, build quality, and reliability as deciding factors. Many riders report that their bikes exceeded expectations based on price alone, reinforcing the idea that factory-direct does not mean compromised performance.
The company’s ongoing focus on post-purchase support and clear documentation further contributes to customer confidence, particularly for riders assembling bikes at home or making component adjustments independently.
Cycling in 2026 is less about strict categories and more about adaptability. Riders expect their bikes to handle multiple scenarios, from weekday errands to weekend adventures. Bikesdirect’s lineup reflects that reality by emphasizing versatile geometries, practical component choices, and designs that prioritize ride comfort alongside efficiency.
Rather than chasing extremes, the company’s approach aligns with how most people actually use their bikes. This philosophy has helped Bikesdirect stay relevant as cycling culture shifts away from exclusivity and toward accessibility.
“Cycling should feel welcoming, not intimidating,” the spokesperson said. “Too often, riders feel pressured to overspend or choose bikes that don’t match how they actually ride. Our goal is to remove those barriers by offering honest options, clear information, and factory-direct value. When people feel confident about their purchase, they ride more often, enjoy it more, and stay connected to cycling long term.”
As Bikesdirect moves further into 2026, the company plans to continue refining its product offerings while maintaining the principles that have defined its growth. That includes expanding selections where rider demand is strongest, improving educational resources, and preserving the factory-direct pricing model that has become its hallmark.
While the broader cycling industry continues to adapt to economic pressures and changing consumer habits, Bikesdirect remains focused on delivering tangible value rather than marketing promises.
The company believes that its role in the cycling ecosystem is not to compete with local bike culture but to complement it—providing access, affordability, and choice for riders who want control over how they buy and ride.
Cyclists looking for performance-driven bikes without inflated retail pricing can explore Bikesdirect’s full factory-direct lineup by visiting Bikesdirect.com. With transparent specifications, rider-focused designs, and pricing built around real value, Bikesdirect continues to make cycling more accessible in 2026 and beyond.
About Bikesdirect
Bikesdirect is a leading online retailer of factory-direct bicycles, offering a wide range of road, gravel, mountain, hybrid, cruiser, electric, and youth bikes. By eliminating traditional retail markups, Bikesdirect delivers high-quality bicycles at competitive prices to riders across the United States. The company is committed to transparency, value, and helping cyclists find bikes that match their lifestyle and riding goals.
Contact Information
Website: https://bikesdirect.com/
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
GPTHumanizer AI debuts enhanced humanization model with open access tier
SILICON VALLEY, Calif., United States, 4th Feb 2026, Grand Newswire – Feb. 4, 2026 — GPTHumanizer AI, a language refinement platform designed to improve machine-generated text for human readers, today announced an update to its core engine. The update introduces an advanced editor-grade humanization model designed to support clearer, more natural writing across multiple contexts, available to users at no additional cost.

New Architecture Enhances Clarity and Fidelity
The update features a multi-stage neural editing architecture that replaces single-step paraphrasing with layered refinement. This approach improves readability while preserving meaning, structure, and flow, delivering text that aligns more closely with human editorial standards.
Research-Driven Evolution of Humanization Architecture
GPTHumanizer AI offers text optimization solutions built on a methodology developed over years. By integrating multiple layers of neutral editing and style transformation, it produces text that reads naturally while preserving meaning. This evolution reflects a broader shift in language technology from single-step output generation toward pipelines that mimic real-world editorial workflows, enabling the platform to support demanding writing use cases across academic, professional, and creative contexts.
Reducing AI Detection Signals
GPTHumanizer AI’s refinement process adjusts phrasing, sentence variation and structural cues that many AI content detectors analyze to estimate whether text was machine-generated.
The platform’s layered editing promotes controlled variation and natural rhythm while preserving meaning, helping text align more closely with traits typical of human-crafted writing. The company notes that no system can guarantee avoidance of all detection signals, as detectors vary in design and accuracy.
Barrier-Free Lite Model
GPTHumanizer AI has introduced an open-access “Lite” tier to its ecosystem, providing unrestricted essential refinement tools without standard subscription requirements. This initiative is designed to support the ongoing workflows—from short paragraphs to iterative drafts—aiming to support academic writers, content creators, marketers, and students without restricting access through subscription barriers or word limits.
Tailored Performance for Writers and Academics
The platform also offers controllable editing modes allowing users to choose light polish or deeper structural refinement, a feature valued across academic, professional, and creative writing contexts.
“This release reflects an evolution from simple rewriting tools toward a constraint-aware editor model, anchoring quality in meaning and readability rather than ‘detector avoidance’,” said Ethan Miller, CEO of GPTHumanizer AI.
User Feedback Validates Practical Gains
Early adopters report improvements in content clarity and engagement while maintaining original informational integrity. “Internal evaluations show that 75% of academic users experienced improved readability without loss of meaning,” the company said.
About GPTHumanizer AI
GPTHumanizer AI is a language refinement platform dedicated to transforming AI-generated drafts into clear, human-quality text across writing genres. Built on a research-informed, multi-stage editing framework, the platform emphasizes semantic fidelity and accessibility. Through its open-tier initiative, the company aims to make high-quality language refinement more broadly available to writers worldwide. For more information, visit
https://www.gpthumanizer.ai/ .
Media Contact
Organization: GPTHumanizer AI
Contact
Person: Ethan Miller
Website:
https://www.gpthumanizer.ai
Email:
ethanmiller@gpthumanizer.ai
City: SILICON VALLEY
State: Calif.
Country:United States
The post GPTHumanizer AI debuts enhanced humanization model with open access tier
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