985 Professors Group Ventures into Embodied Intelligence, Raising Over ¥100 Billion in Funding This Year

marsbitPubblicato 2026-08-27Pubblicato ultima volta 2026-08-27

Introduzione

In 2026, the embodied AI sector in China is witnessing a significant surge in venture capital, with individual funding rounds reaching billions of RMB. A notable trend within this boom is the rise of "academic factions," where university professors are actively founding companies. According to an IT桔子 report, over 70 embodied AI companies have founders who are or were university professors. A stricter definition identifies 18 core "academic" companies, which have collectively raised an estimated 15 billion RMB in the first eight months of 2026. These companies fall into two main categories. The first consists of firms founded by professors from top-tier universities like Tsinghua, Peking, Zhejiang, Shanghai Jiao Tong, and Fudan. Examples include Xingdong Jiyuan (陈建宇, Tsinghua), accelerating evolution (赵明国 team, Tsinghua), Galaxy Universal (王鹤, Peking University), Yunchushenchu (朱秋国, Zhejiang University), Qiongche Intelligence (卢策吾, Shanghai Jiao Tong), and Zhujidongli (张巍, Southern University of Science and Technology). The second category comprises companies incubated directly by research institutes, such as Qiuzhi Technology (from Tsinghua AIR), Delta Intelligence (from BIGAI), Xingyuan Intelligence (from Beijing智源研究院), and Zero to the Power (jointly incubated by Tsinghua). Key observations highlight Tsinghua University's dominant presence, the increasing direct investment from university-affiliated funds into these startups, and the unprecedented involvement of tenured p...

How crazy is the embodied intelligence track in 2026? Some companies raised ¥2 billion or ¥3 billion in a single round, with funding figures becoming increasingly exaggerated. A few days ago, IT Juzi released the latest 'China Embodied Intelligence Entrepreneur Ecosystem Portrait Report', which garnered significant attention from many readers.

In this wave of enthusiasm, we have noticed another prominent force: the academic school. How do we define the 'academic school'?

It's not the typical 'universities supplying graduate talent' scenario, but rather universities personally founding/incubating embodied intelligence companies.

Can you imagine it? Professors are no longer just burying themselves in research in labs and publishing papers in top-tier journals. They are directly registering companies, becoming founders/co-founders, and even going out to secure funding and manage production lines. Moreover, this is no longer an isolated phenomenon.

According to IT Juzi statistics, within the embodied intelligence circle, there are over 70 companies where the founding team currently holds or previously held professor positions in universities. However, the 'academic school' filter criteria I want to discuss here are stricter:

The first category is: Professors serving as founders are still employed by universities while simultaneously starting businesses, and they can mobilize resources and support from their alma mater. It is even more typical if the university holds direct equity. Companies that merely invite university professors as advisors or chief scientists are not included.

The second category is: Embodied intelligence companies that are themselves the product of the platformization of universities/research institutes and laboratories. This is another representative of the academic school.

Therefore, based on this standard, I have compiled a list of 18 'academic school' embodied intelligence companies, presented in the table below.

How capable are these 'university professor-led + research institute incubated' companies?

The financing data we have compiled shows that: In the first 8 months of 2026, the total disclosed financing of these 18 'academic school' embodied intelligence startups amounts to approximately ¥15 billion (estimated value), with over ¥13 billion explicitly disclosed.

It can be said that they are holding high the banner of the 'academic school' in embodied intelligence and have become a core force within this track.

Now, we can simply divide these companies into two major categories. The first category consists of companies whose core founders/co-founders are affiliated with prestigious universities, covering top-ranked 985/211 comprehensive universities like Tsinghua University, Peking University, Zhejiang University, Shanghai Jiao Tong University, Fudan University, etc.

The second category comprises companies directly incubated by universities/research institutes, such as Westlake University, Tsinghua AIR, Zhiyuan Research Institute, Chinese Academy of Sciences, etc. It's clearer to look at them separately.

When 985 University Professors Personally Take Command and Dive into the Fray

The number of companies where 985 professors personally venture into entrepreneurship for embodied intelligence is not vast, but they naturally attract the most attention. Founders often hold professor titles and are driven by the motivation to commercialize academic research results.

Tsinghua University-invested Xingdong Jiyuan (Star Motion Era) is a typical example, focusing on humanoid robot hardware. Founder Chen Jianyu is an assistant professor at Tsinghua University's Institute for Interdisciplinary Information Sciences (IIIS) and holds a Ph.D. from UC Berkeley. The company was founded in August 2023, starting as an incubation project from IIIS. In July 2026, it completed a ¥1 billion Series B financing, growing into a unicorn in just over two years.

Another in the Tsinghua University camp is Accelerated Evolution, also working on humanoid robot hardware.

Founded in June 2023, the founding team hails from Professor Zhao Mingguo's humanoid robot team in Tsinghua University's Department of Automation, with CEO Cheng Hao responsible for commercialization. In April 2026, Accelerated Evolution completed a ¥1 billion Series B financing, also entering the unicorn ranks.

The representative embodied intelligence company from Peking University is Galaxy General, pursuing an integrated route of 'embodied multimodal large model + general humanoid robot hardware'. Founder Wang He is concurrently an assistant professor at the Frontiers of Computing Research Center, School of Computer Science, Peking University.

The company was founded in May 2023, received ¥1.1 billion financing led by CATL in June 2025, and completed a ¥2.5 billion B+ round in March 2026. Last year, Galaxy General launched a smart retail store in Haidian, Beijing, where humanoid robots 'work'.

The representative company founded by a Zhejiang University professor is CloudWalk Deep, focusing on quadruped and humanoid robot hardware, with strengths in power inspection and emergency rescue. Founder Zhu Qiuguo is an associate professor and doctoral supervisor at Zhejiang University. This company was established earlier, starting in Hangzhou in 2017, and is one of the 'Hangzhou Six Dragons'.

In July 2025, CloudWalk Deep completed nearly ¥500 million in financing, co-led by Fortune Capital and Guoxin Fund, followed by a Pre-IPO round in December. Among these professor-founded companies, CloudWalk Deep is the earliest to achieve commercialization.

The representative company from Shanghai Jiao Tong University is Qiongche Intelligence, which does not manufacture robot hardware but specializes in the algorithm layer of the embodied brain.

Founder Lu Cewu is the vice dean of the School of Artificial Intelligence, Shanghai Jiao Tong University, and a Changjiang Scholar. Founded in November 2023, the company developed the self-developed Noematrix Brain. In June 2026, Qiongche Intelligence completed several hundred million yuan in financing, and notably, this round's investors included the 'Shanghai Jiao Tong University AI Future Fund' and a wholly-owned subsidiary of Shanghai Chuangzhi College.

The representative from Southern University of Science and Technology (SUSTech) is Zhuiji Dynamics, developing general-purpose humanoid robot hardware.

Founder Zhang Wei is a tenured professor at SUSTech, previously a tenured professor at The Ohio State University in the US, with over ten years of research in humanoid robots. Founded in 2022, the company completed a $200 million Series B in February 2026 and a nearly $200 million Pre-IPO round in July, reaching a valuation of ¥15 billion. Its shareholder list includes Alibaba, SAIC Motor, Nio, JD.com, etc.

More notably, nearly 70% of this round's funding came from overseas institutions, with Middle Eastern and European capital betting on China's humanoid robot sector.

The representative embodied intelligence company incubated by Fudan University is Moushen Intelligence, working on generative and lightweight general embodied brains, belonging to the algorithm layer. Co-founder Chen Tao is a professor at Fudan University and director of the Deep Learning Laboratory. Founded in January 2025, the company just completed a ¥500 million Pre-A+ round in August 2026.

From Moushen Intelligence and Qiongche Intelligence to Deta Intelligence and Xingyuan Intelligence, they are essentially competing for the ecological niche of the 'embodied brain', indicating that the competitive focus in embodied intelligence is shifting from 'hardware' to 'brain'.

The representative company from Xi'an Jiaotong University is Youai Zhihe, manufacturing industrial mobile robot hardware (wheeled, non-humanoid), focusing on factory logistics and intelligent inspection. Founding members like Zhang Chaohui are from Xi'an Jiaotong University, with their supervisor Mei Xuesong being a senior scholar in mechanical engineering.

Founded in 2017, its products are applied in logistics handling for semiconductor, new energy, and 3C factories, as well as inspection scenarios in pipelines, power distribution rooms, and substations. Youai Zhihe raised ¥150 million in Series C and is recognized as a 'Little Giant' specialized and sophisticated enterprise by MIIT. This company's approach is more pragmatic—make money first, then discuss form factors.

The representative company from Harbin Institute of Technology (HIT) is Leju, developing large humanoid robot hardware. Founder Leng Xiaokun has a background at HIT. Founded in 2016, it is one of China's earliest companies in large humanoid robots. The core team is distributed in Shenzhen and Harbin, with members all being HIT masters and Ph.D.s in computer science, mechanics, and mathematics.

In October 2025, Leju Robotics completed a ¥1.5 billion Pre-IPO round, jointly invested by over ten institutions including Shenzhen Investment Holdings Capital, Longhua Capital, and CITIC Capital, with cumulative financing exceeding ¥1.7 billion. Leju's 'Kuafu' series has established ecosystems with over 40 enterprises like Huawei, Tencent, China Mobile, and FAW Group. Leju's characteristic is prioritizing mass production—while peers were still unveiling prototypes, Leju had already begun small-batch deliveries.

Additionally, several other companies are often categorized or self-described as 'university-incubated' but don't strictly qualify. For example, Qianxing Technology was once affiliated with Zhejiang University but later exited; Mocet Intelligence is a project incubated by Tsinghua University's x-lab, but Tsinghua x-lab is an 'on-campus entrepreneurship incubator' under the School of Economics and Management, more oriented towards students and alumni. After incubation, projects have no direct relationship with Tsinghua University.

New Research Institutes Are Batch-Incubating Startups

If the first category is professors starting businesses independently with university support, the second category is research institutions/institutes directly spinning off teams and platform achievements to establish registered companies. The financing enthusiasm for this type of company is equally high.

Tsinghua University's Institute for Artificial Intelligence (AIR) incubated Qiuzhi Technology. AIR is headed by Dean Zhang Yaqin.

Qiuzhi Technology develops mobile lifting dual-arm robot hardware (non-humanoid), focusing on scientific research training and commercial service scenarios. In 2026, Qiuzhi Technology completed an over $100 million angel round, jointly funded by eight institutions.

Founder Zhou Guyue holds a Ph.D. from HKUST, was a student of Li Zexiang, and a core early member of DJI. He joined Tsinghua AIR as an associate professor in 2020 and industrialized his laboratory achievements in 2023.

Then, Beijing Institute for General Artificial Intelligence (BIGAI) incubated Deta Intelligence.

Deta Intelligence's positioning is specializing in embodied intelligence foundational models and data infrastructure. The company released a head-mounted full-body data collection device, Delta D1. Users can normally perform tasks wearing the device to collect motion data.

Founded in January 2026, Deta Intelligence secured nearly ¥500 million in an Angel++ round by July, completing six rounds of financing within half a year. Founder Ma Xiaojian holds a B.S. from Tsinghua University in Computer Science and a Ph.D. from UCLA. He previously worked at Google Robotics and NVIDIA Research and later served as a researcher at BIGAI.

Beijing Academy of Artificial Intelligence (referred to as: Zhiyuan Research Institute, a national-level platform in China's AI large model field) incubated Xingyuan Intelligence.

Xingyuan Intelligence focuses on cross-platform deployable embodied brain models and integrated software-hardware architecture (brain + high-computing power edge hardware). Founded in August 2025, it raised ¥1 billion within 10 months: including a ¥200 million angel round, an over ¥100 million angel+ round, and a Pre-A round. Currently, Xingyuan Intelligence's integrated robot solution covers over 70% of leading embodied intelligence companies and is also the global largest supplier of NVIDIA's Jetson Thor.

Tsinghua University, in conjunction with the Jianghuai Frontier Technology Collaborative Innovation Center, also co-incubated Ling Cifang.

Ling Cifang focuses on generalized grasping algorithms and also introduces wheeled humanoid robot hardware, following a combined 'algorithm + hardware' route. Registered in Hefei, it completed over ¥100 million in financing in April 2026, led by Runze Group. Its generalized grasping technology doesn't require custom programs for specific items; robots can autonomously determine grasping methods for unfamiliar objects. Its ZERITH-H1 wheeled humanoid robot was exported to Malaysia as complete units in 2026.

The representative from Beijing Institute of Technology is Ligong Huahui, developing humanoid robot hardware and core components (joints, actuators, etc.). Founded in 2015, it completed a nearly ¥100 million Pre-A round in May 2026. Beijing Institute of Technology has deep expertise in biomimetic and special-purpose robots. Ligong Huahui is a typical 'professor + university-run industry' path.

A few others belong to institute incubation but are still in early stages: Zhangyu Technology incubated by Shenzhen Institute of Artificial Intelligence and Robotics (AIRS), and Deep Wit under the Zhongguancun Academy system.

It's worth noting that Westlake University has incubated 18 startups, including two major embodied intelligence companies—Westlake Interaction, incubated from Professor Jiang Hanqing's Cross Mechanics Laboratory at Westlake University (School of Engineering), mainly providing embodied intelligence solutions and having released a flexible variable-stiffness robotic arm; Westlake Robotics, focusing on autonomous general-purpose humanoid robot hardware and embodied brain R&D. Founder Wang Donglin is a tenured professor and associate dean of the Department of Artificial Intelligence at Westlake University.

There is also 'Zhongke Xinsong / Duko Robotics', incubated by the listed company 'Siasun Robot & Automation', not listed in the table.

In 2000, Shenyang Institute of Automation, Chinese Academy of Sciences founded China's first robot enterprise, Siasun, named after Academician Jiang Xinsong, the 'father of Chinese robotics', which later listed on the A-share market, known as the 'first robot stock'. Siasun produces a full range of industrial robot hardware. In 2025, this veteran company officially entered the embodied intelligence track, launching 'Songyi' wheeled and 'Songxing' bipedal humanoid robots, and established an Embodied Intelligence Research Institute.

Zhongke Xinsong completed several hundred million yuan in an A+ round in July 2026. In April 2026, nearly a hundred Siasun heavy-load industrial robots entered Geely Automobile's welding main line. Reportedly, this marks the first batch application of domestic spot welding robots in automotive welding lines.

High Density of Tsinghua Affiliates, University Industry Funds Simultaneously Investing

Finally, within this 'academic school' system, we summarize a few observations:

First, the density of Tsinghua University's presence in the embodied intelligence field is extremely high.

Xingdong Jiyuan, Accelerated Evolution, Qiuzhi Technology, and Ling Cifang are all 'direct affiliates' of the Tsinghua system. Combined with the Tsinghua/Beida forces behind many research institutes, Tsinghua University alone almost supports half of China's embodied intelligence industrial chain.

The reason is not hard to understand: Tsinghua's internal 'university — research institute — company' transformation chain is very complete, with multiple mature frontier industry experimental platforms like IIIS, AIR, Zhiyuan Research Institute, Communication Research Institute laboratories, etc. Core technology, talent (professors and students), capital, and application scenarios are basically within the same network.

Second, university funds are beginning to directly enter the market.

Xingdong Jiyuan's shareholder list includes Hua Kong Technology Transfer Co., Ltd. (Tsinghua Holdings' technology transfer platform). Qiongche Intelligence's financing round featured the Shanghai Jiao Tong University AI Future Fund. Zhiyuan Research Institute participated in Xingyuan Intelligence's financing.

In the past, the relationship between universities and companies was more like 'licensing/transferring paper and patent technology', with technology element flow as the core. Now it has transformed into a deeply equity-bound, incubating relationship. From joint laboratory technical support to capital injection, elements like technology, capital, and talent are being comprehensively connected. Alma maters giving 'entrepreneurship red packets' to companies founded by professors was unimaginable many years ago.

Third, the 'professor concentration' in this entrepreneurship wave is unprecedented.

While the protagonists of the previous AI entrepreneurship wave were tech-savvy prodigies, this time the protagonists are professors still within the establishment system.

The technological barriers in the large model era lie in data and computing power, which can be tackled with engineering prowess; but the barriers in embodied intelligence lie in the physical world, in fields like mechanics, control, and materials that require over a decade of accumulation. The advantages of professors are thus magnified.

When the 'academic school' becomes a label, it also has apparent shortcomings.

Academic thinking and business pace are completely different. Many professor-led teams possess first-class technology, but mass production, supply chains, overseas channels—these tangible aspects are the real lifelines. Fortunately, leading companies have recognized this and are addressing these gaps through complementary talent team building.

We believe embodied intelligence will be an upgrade of China's industry-university-research transformation model. The old model was 'publish papers, sell patents, professor continues teaching'; now it's 'professor steps into the fray, research institute incubates, independent company founded, alma mater invests'.

As professors well-versed in the physical world are now researching to solve physical AI, the development path of embodied intelligence will become more scientific. This list will grow longer in the future. And the next professor to venture into entrepreneurship might be in the university lab next door to you.

This article is from WeChat public account 'IT Juzi' (ID: itjuzi521), author: Wu Meimei

Domande pertinenti

QWhat is the main theme of the article regarding the involvement of professors in the Chinese embodied AI industry?

AThe main theme is the significant trend of professors from top Chinese universities (e.g., Tsinghua, Peking University, Zhejiang University) personally founding or incubating embodied AI companies, moving beyond academic research to commercial entrepreneurship. This 'academic school' of startups has secured over 15 billion yuan in funding in the first eight months of 2026.

QAccording to the article, what are the two strict criteria for defining an 'academic school' embodied AI company?

A1. The professor-founder is still employed by the university while running the company, can mobilize university resources and support, and ideally the university holds direct equity. 2. The company itself is a platform-based product directly incubated by a university, research institute, or laboratory.

QWhich university is mentioned as having an exceptionally high density of involvement in the embodied AI field?

ATsinghua University is highlighted as having an extremely high density. Companies like Xingdong Jiyuan, Accelerated Evolution, Qiuzhi Technology, and Lingcifang are all considered part of the 'Tsinghua system,' with its complete ecosystem for transforming research into industry.

QWhat is one major shift in the relationship between universities and companies mentioned in the article?

AThe relationship has shifted from primarily 'licensing/transferring paper and patent technology' to one of deep equity binding and incubation. Universities are now directly investing capital into companies founded by their professors, creating a more integrated flow of technology, capital, and talent.

QWhat potential weakness or challenge does the 'academic school' face according to the article?

AThe 'academic school' faces challenges in aligning academic thinking with commercial pace. Key weaknesses include managing mass production, supply chains, and overseas distribution channels, which are critical for business survival. Leading companies are addressing this by building complementary talent teams.

Letture associate

Behind the Trillion-Dollar Capital Gamble: Time is Becoming the Counterparty to AI

Amidst unprecedented capital investment in AI, a trillion-dollar "gamble" is unfolding where time itself is becoming the opposing force. Recent events illustrate the volatility and profound uncertainty underlying this rush. In July 2026, hedge fund Situational Awareness, founded by Leopold Aschenbrenner and heavily leveraged on AI hardware stocks like Sandisk, lost $35 billion in a month as a market selloff triggered massive declines, highlighting the irrational human foundations of even AI-augmented markets. Simultaneously, the regulatory landscape is shifting dramatically. Social media addiction lawsuits in the US have exploded, with major platforms like Meta, Snap, TikTok, and Google now facing billions in liabilities. This signals a critical change: the "algorithm is neutral" defense is crumbling for AI, introducing massive legal and governance uncertainties that threaten AI's business models. Financially, the sector is fueled by unsustainable capital intensity. Google reported its first-ever negative free cash flow (-$5.9B) in Q2 2026, while its AI capex is projected to hit $200B. Industry-wide, debt issuance for AI infrastructure could reach $1.5 trillion. Companies like OpenAI and Anthropic project profitability only by 2030, betting on future revenues in the hundreds of billions. This mirrors a national dilemma: the U.S. faces a looming debt crisis, with interest costs projected to exceed $1 trillion annually, creating pressure to secure technological supremacy through AI. The core paradox is that this historic capital infusion aims to buy time for AI to mature and dominate. However, if the anticipated technological leap or market scale fails to materialize within the narrow window before profitability deadlines or a debt crisis, the simultaneous collapse of both corporate and national financial bets could be catastrophic. The race is not just for technological advantage, but against the clock.

marsbit2 min fa

Behind the Trillion-Dollar Capital Gamble: Time is Becoming the Counterparty to AI

marsbit2 min fa

Monero Price Forecast for 2026-2032: Is it Worth Buying XMR Now?

**Article Summary: Monero (XMR) Price Forecast for 2026-2032 and Investment Outlook** This article analyzes the potential future price trajectory of privacy-focused cryptocurrency Monero (XMR). Based on technical analysis and market sentiment, it presents a bullish long-term forecast. **Key Price Predictions:** * By the end of 2026, XMR is projected to reach **$825.20**. * A maximum price of **$1,016.93** is forecast for late 2029. * The price could surge to **$1,753.23** by 2032. **Current Market Analysis (as of August 2026):** * The current price is approximately $430.66, having faced resistance at $450. * Market sentiment is labeled as "Bullish," though short-term volatility persists with support found around $430. * Technical indicators like moving averages suggest a mixed but generally positive outlook. **Investment Thesis:** Monero is presented as a compelling investment due to its core focus on transaction privacy and security, which drives demand. Its decentralized development model and growing utility are cited as foundations for long-term growth. However, the article cautions investors about significant risks, including regulatory scrutiny, market volatility, and the cryptocurrency's association with illicit activities, which could hinder mainstream adoption. **Conclusion:** While the forecast is optimistic, the article strongly advises investors to conduct thorough personal research and consult experts before investing in the volatile cryptocurrency market. The potential for XMR to reach $1,000 or surpass its all-time high is deemed possible under favorable conditions but remains highly dependent on regulatory developments and broader market dynamics.

cryptonews.ru36 min fa

Monero Price Forecast for 2026-2032: Is it Worth Buying XMR Now?

cryptonews.ru36 min fa

Livio, CEO of New Huo Group: RWA Will Become the Bridge Connecting Carbon-Based Humans and Silicon-Based AI, Crypto's Next 100 Million Users to Come from AI Agents

At the "Deep Integration of AI and Crypto" roundtable during the Bitcoin Asia conference, Livio Weng, CEO of Bitfire at New Huo Group, stated that the core narrative for AI and Crypto convergence in the coming years will likely focus on the "agential economy." As infrastructure for AI identity recognition, authorized wallets, and payment protocols matures, AI will progressively gain the ability to autonomously use, manage, and transact assets, deeply integrating with existing crypto sectors like trading, prediction markets, asset management, and payments. Livio believes Real World Assets (RWA) will serve as a crucial bridge connecting carbon-based humans and silicon-based AI. On one hand, RWA can tokenize traditional assets, enabling AI to use and trade assets from human society. On the other hand, "AI assets" such as computing power, data, and AI-generated services can also be made accessible to humans through RWA formats for purchase, analysis, and trading. This process will drive deeper integration between humans and AI. "The next 100 to 200 million new crypto users may not be humans, but AI Agents," Livio suggested, noting that future critical infrastructure and applications might be autonomously generated by AI rather than primarily coded by humans. As AI evolves from an information assistant to a wealth management assistant and further into an autonomous task executor, AI Agents are poised to become significant participants in the Crypto ecosystem. Livio also highlighted that deep AI-Crypto integration requires robust underlying infrastructure, including settlement layers for autonomous machine transactions, identity and authorization layers for AI independent identity and recognition, and incentive/disincentive layers to address fraud and misconduct. Protocols like X402 and EIP-8004 are exploring related applications, but challenges in security, governance, and ethics remain. In practice, New Huo is actively embracing RWA to seize opportunities from AI-Crypto convergence. The group recently launched comprehensive RWA operator services and released Hong Kong's first compliant crypto asset quantitative strategy. By incorporating RWA assets, this strategy aims to offer cross-asset allocation and risk hedging opportunities, helping investors navigate volatility across different asset classes and market cycles. Livio concluded that RWA is not only a vehicle for traditional assets to enter the on-chain world but also potential key infrastructure for AI to participate in the real economy, utilize real-world assets, and provide services to humans. As the machine economy develops, the intersection between AI and Crypto will expand, offering substantial room for innovation and growth.

marsbit43 min fa

Livio, CEO of New Huo Group: RWA Will Become the Bridge Connecting Carbon-Based Humans and Silicon-Based AI, Crypto's Next 100 Million Users to Come from AI Agents

marsbit43 min fa

Successes of Cheburnet: the share of free mobile internet in Central Russia decreased to 30.5%

Russia's "Sovereign Internet" project continues to advance, significantly impacting mobile internet access. In July 2026, only 30.5% of mobile data sessions in Central Russia were unrestricted, with the majority routed through a state-approved "whitelist." This represents a 31% increase in whitelist usage since January. The implementation is geographically uneven: Moscow and St. Petersburg see higher rates of free access (~49% and ~44% respectively), while border regions like Belgorod have seen unrestricted access plummet to around 12%. International forces are also contributing to digital isolation. Major certificate authority GlobalSign began revoking TLS certificates for Russian domains in June to comply with international sanctions, affecting thousands of domains, including those of major corporations like Rosneft. While its market share is small, the move aligns with the trend of separating the Russian internet segment. Domestically, authorities are preparing alternatives to maintain critical services. The government has tasked officials with ensuring the operation of key platforms like healthcare portals and payment systems during internet restrictions. The Ministry of Digital Development promotes a transition to certificates from a Russian National Certification Authority, which are natively supported by domestic browsers but may require manual installation for other devices. An AI analysis raises concerns, comparing the plan to Kazakhstan's failed 2019 attempt to mandate a state root certificate, which was blocked by major browsers as a security threat. This poses a future risk: users may eventually face a choice between foreign browsers potentially incompatible with Russian certificates or domestic software that fully trusts state-issued ones.

cryptonews.ru1 h fa

Successes of Cheburnet: the share of free mobile internet in Central Russia decreased to 30.5%

cryptonews.ru1 h fa

Trading

Spot
活动图片