enterprise

According to the official announcement, Binance Pay has announced the expansion of its enterprise payment capabilities, launching a set of on-chain solutions aimed at wallets, trading platforms, dApps, payment service providers, merchants, and digital platforms, including On-ramp as a Service, Pay On-chain, and AgentPay based on x402.This service allows enterprises to leverage Binance's infrastructure to provide users with features such as cryptocurrency asset purchases, on-chain fund transfers, and programmatic payments.

According to South Korea's "JoongAng Ilbo," China's semiconductor industry is organized through collaboration among the central government, local governments, state-owned financial institutions, and enterprises, forming a system for fundraising, factory construction, and infrastructure support. The China National Integrated Circuit Industry Investment Fund has a first phase of 138.7 billion RMB, a second phase of 204 billion RMB, and a third phase of 344 billion RMB, totaling 686.7 billion RMB, with investments in companies such as SMIC, Hua Hong Semiconductor, and Yangtze Memory Technologies.Changxin Memory, established for 10 years, has risen to fourth in global DRAM market share, with a net loss of 21.13 billion RMB over the past three years, while R&D and equipment investments during the same period reached 185.2 billion RMB, with Hefei's state-owned capital providing about 80% of the funding for early projects. South Korea's Samsung Electronics and SK Hynix are responsible for investments, employment, technology development, and support for partners. The South Korean government plans to guide 622 trillion KRW in private investment by 2047 and provide 17 trillion KRW in low-interest loans and 1.1 trillion KRW in semiconductor ecosystem funds, but most of the burden will fall on enterprises.Park Kyung-soo, Executive Vice President of the Korea Semiconductor Industry Association: The semiconductor industry will fall behind in the next upturn if investment stops; even during downturns, R&D, equipment investment, and orders for materials and components must be maintained, requiring long-term policy, financial, and tax support. China is catching up with a national-level support system, and South Korea also needs a response system involving the government, political circles, financial institutions, and enterprises to act together.

Ripple announced the introduction of the GSmart AI intelligence in its corporate treasury platform Ripple Treasury, used for monitoring corporate cash, risks, and forecasts, and providing action recommendations to finance teams. Ripple Treasury is the GTreasury platform that the company acquired for $1 billion last October.These intelligences can cover processes such as liquidity, forecasting, and reconciliation, recommending responses and citing relevant company policies when issues are identified, but all operations must be approved by a human before execution. Ripple stated that financial calculations are completed by deterministic software, and AI is only used to interpret policies, identify patterns, and explain recommendations to reduce the risk of errors.GSmart was launched before Ripple's acquisition of GTreasury, going live in June 2025. This update expands it to more treasury workflows and introduces a policy layer called Knowledge Studio and an Ask GSmart assistant for querying corporate financial data. Ripple claims that 60% of qualified clients have enabled the Risk Insights feature, and 44% use Forecast Insights. The platform now supports the simultaneous management of traditional and digital assets.

According to CNBC, Y Combinator CEO Garry Tan stated at the YC annual Demo Day that regarding the distillation of OpenAI and Anthropic models by Chinese companies (including DeepSeek, Moonshot AI, MiniMax, etc.), he chose to "do nothing" and suggested that regulators focus instead on maintaining a commercial balance between open-weight models and cutting-edge models.Tan also holds a reserved attitude towards the doomsday theory of AI, believing that cybersecurity is currently the most urgent risk, while the employment impact and economic transformation caused by AI will take decades to truly permeate society.

On September 9, Ara Kharazian, Chief Economist of the corporate spending management platform Ramp, released the Ramp AI Index for September 2026. This index tracks the AI usage of U.S. enterprises based on Ramp's spending data. In August, Anthropic held a share of 43.8% among U.S. enterprises paying for subscriptions or tokens, an increase of 0.34 percentage points month-over-month; OpenAI accounted for 39.8%, with a month-over-month increase of 0.09 percentage points. Overall, the adoption of AI continues to grow, but the growth rate is slowing, with technology sectors such as information, finance, and professional services leading.The median monthly AI spending per capita for the top 1% of enterprises decreased by 9.7%, from $7,976 to $7,205. The effective price per million tokens dropped by 41% from the peak of $1.15 in March 2026 to $0.68. The usage is driven by cheaper standard models, with cutting-edge models (Opus, Fable, Sol) accounting for 45% of the token share. The adoption of open-source models remains limited, representing 6.4% of AI spending enterprises and 3.6% of all enterprises.

According to a report by the Korean News Agency, Kim Kyung-hoon, the General Manager of OpenAI Korea, stated at the Samsung SDS "Real Summit 2026" conference held at COEX in Seoul that the productivity gap between the top 10% of AI application companies and medium-level companies has expanded from 2.6 times to 8.6 times from January to June this year, with the gap in the manufacturing sector reaching 5.3 times.Kim Kyung-hoon pointed out that the core of widening the gap lies in "connection"—21% of employees in leading companies use AI plugins integrated with business systems weekly, while the figure for ordinary companies is only 9%. He proposed a three-stage methodology for corporate AI transformation: "Turn it on, Delegate it, Keep it" (Connection, Delegation, Retention), emphasizing business process redesign rather than merely introducing AI tools.

According to a report by the Financial Associated Press, the General Office of the Ministry of Industry and Information Technology has issued the "Entrepreneurship Support Plan for Small and Medium-sized Enterprises in Artificial Intelligence (2026-2028)." Over three years, it aims to cultivate a large number of innovative and dynamic artificial intelligence startups with significant growth potential in key areas such as industry applications, data services, and intelligent computing power. More than 10,000 new technology and innovation-oriented small and medium-sized enterprises will be nurtured, with over 2,000 "specialized, refined, distinctive, and innovative" small giant enterprises emerging, along with a number of gazelle and unicorn companies.Focusing on the field of artificial intelligence, the plan will establish 10 high-standard technology enterprise incubators and 10 national public service demonstration platforms (bases) for small and medium-sized enterprises. It will also cultivate 10 national-level characteristic industrial clusters for small and medium-sized enterprises. The entrepreneurial and innovative vitality of small and medium-sized enterprises in artificial intelligence will continue to surge, and a preliminary pattern of high-quality development for small and medium-sized enterprises empowered by artificial intelligence will take shape.

DDC Enterprise announced its unaudited financial data for the first half of 2026: total revenue of 20.2 million USD, a year-on-year increase of 29%.As of the announcement date, the company holds 2,899 bitcoins, an increase of 145% from 1,181 at the end of 2025; the net loss for the first half of the year was 38.4 million USD, mainly due to a non-cash unrealized fair value loss of 34.3 million USD from its bitcoin treasury holdings.The board of directors has approved an 18-month stock repurchase plan, with a maximum amount of 10 million USD or 20% of Class A common stock outstanding.

Yili Hua stated that the core of investment is not average allocation, but rather identifying and seizing a few star companies that can bring excess returns. He cited Duan Yongping's investment in NetEase in 2002 as an example, pointing out that he invested 2 million dollars at a time when the stock price was less than 1 dollar, and after holding it for 8 years, he made a profit of over 260 million dollars, with a return of more than 100 times.Yili Hua believes that every technological revolution contains numerous opportunities for excess returns. The early cryptocurrency industry has already seen many cases of hundredfold returns, and the current artificial intelligence industry is in a similar early explosive phase, with potential targets in both the Chinese and American markets. He stated that the core goal of current artificial intelligence investment is to capture the most explosive star companies in this wave of artificial intelligence.

According to Bloomberg, Anthropic plans to adjust its data retention policy for its advanced artificial intelligence models, giving enterprise customers greater control over their data. The company expects to launch a new security system later this year, where enterprise customers will still need to retain data for 30 days but can choose to do so on their own cloud computing infrastructure instead of storing it on Anthropic's servers. Sources say that the system has been in preparation for several months and has been developed in coordination with over 100 clients from strictly regulated industries.In June, Anthropic announced that it would retain all customer data for 30 days for its more powerful Mythos, Fable models, and future cutting-edge products to identify and prevent new types of cyberattacks using its technology, while stating that it would not use the data for training. The company recently acknowledged in a report that this policy may not be welcomed by customers accustomed to zero retention and could impact business. Anthropic declined to comment on this. Competitor OpenAI has also recently begun testing a solution called "Private Secure Processing" to avoid retaining customer data and plans to roll it out more broadly in September.

The China Gold Association issued a stern statement regarding the U.S. Department of Homeland Security's inclusion of certain domestic gold enterprises in the "Uyghur Forced Labor Prevention Act" (UFLPA) entity list, which led to the London Bullion Market Association (LBMA) suspending the qualified delivery status of related enterprises. The association stated that the U.S. "forced labor" accusations lack factual basis and are an attempt to politicize human rights issues and promote trade protectionism.The LBMA, without sufficient factual verification, accepted false information and suspended qualifications, harming the legitimate rights and interests of Chinese gold enterprises and disrupting the stability of the global gold market. The association stated that the Chinese gold industry chain has the ability to withstand external risks and will work together with the industry to protect rights, strengthen compliance self-discipline and traceability system construction, and support the Chinese government in taking necessary countermeasures, urging the U.S. to lift sanctions and calling on the LBMA to correct related decisions.

The enterprise-level AI data platform Prevalent AI announced the completion of a $22 million financing round, with participation from the Los Angeles investment firm Integrity Growth Partners (IGP).Founded in 2017, the company focuses on developing AI-driven data platforms that help businesses build continuously updated "sovereign knowledge graphs" by connecting and integrating data from multiple internal systems, and supports the deployment of AI Agents and automation systems.

At the opening ceremony of the 2026 World Robot Conference, Xin Guobin, Vice Minister of the Ministry of Industry and Information Technology, stated that in 2025, the operating income of enterprises above designated size in the robotics industry exceeded 300 billion yuan, with an average annual growth rate of over 20% in the past five years. In the first half of this year, it reached 165.5 billion yuan, a year-on-year increase of 24.5%. Robot technology and products have been widely applied in various aspects of the national economy and social development, becoming an important force in promoting high-quality development.The Ministry of Industry and Information Technology will focus on key industries with broad application spaces and strong demonstration effects, such as agriculture, healthcare, elderly care, and emergency response. It will organize targeted efforts for production and application pairing, on-site application verification, and promotion of mature scenarios, accelerating the iteration and upgrading of new technologies and new products through large-scale applications in new scenarios.

According to The Information, Anthropic and OpenAI are accelerating the launch of AI applications and features aimed at specific industries. Some enterprise customers are concerned that the two companies may prioritize their strongest AI capabilities for their own products in the future, rather than opening them up to external companies through APIs.This trend is shifting the relationship between model providers and enterprise customers from foundational technology collaboration to potential competition. If top model capabilities lean more towards proprietary applications, enterprises may need to reassess their reliance on AI infrastructure providers, supply chain arrangements, and long-term technology strategies.

World Liberty Financial (WLFI) announced that the company has appointed Ryan Ballantyne as Chief Business Officer.Ryan Ballantyne has over thirty years of experience in capital markets, derivatives, asset management, and digital assets. Previously, he served as the Head of Institutional Client Strategy at Coinbase Institutional, where he was responsible for assisting public companies and institutions in adopting digital asset fund management, trading, and custody solutions. Earlier, he held senior positions at Osprey Funds and Blackforce Capital, and worked at institutions such as Susquehanna, Deutsche Bank, and Smith Barney.

On August 12, the enterprise blockchain infrastructure provider Aventus announced the official launch of Aventus Cloud node sales. The program aims to allow individuals and institutions to run nodes using available computing resources, expanding participation in the Aventus network infrastructure.Founded in 2017, Aventus has provided blockchain infrastructure for enterprise applications in industries such as aviation, energy, and telecommunications, and has become a Polkadot parachain. Aventus Cloud will go live on the mainnet in April 2026, with nodes capable of processing network activity verification, and eligible operators can earn network rewards. The current price for Genesis Tranche node licenses is $1,755, with a final network plan of up to 40,000 nodes, and over 2,500 nodes are currently active.

Morph Network officially announces the launch of Morph Payments, positioned as an enterprise-level stablecoin payment platform for global businesses. Enterprises can register via email and generate payment links, while customers can use any wallet and network to pay with stablecoins, with funds arriving within seconds. The recipient can choose their preferred network for receiving payments.The payment side supports single or bulk payments to suppliers, employees, or contractors. Morph Network states that the platform is aimed at real business scenarios, covering the global flow of funds from receiving to paying.

Bitcoin.com published an article stating that the model of Web3 startups conducting corporate pilots by paying traditional financial institutions "is a dead end," with 95% of pilot projects failing to reach production environments. Web2 companies only want the idle venture capital and revenue sharing from startups, rather than their open-source innovations. The article argues that true defensiveness comes from a "structural moat"—compliance licenses, deep network liquidity, or distribution lock-ins that Web2 engineering teams cannot replicate.The article cites recent cases: Stripe was acquired for $1.1 billion after proving an annual cross-border transaction volume of $5 billion with Bridge, and Robinhood acquired Bitstamp for $200 million to gain 50 global regulatory licenses and institutional liquidity, rather than maintaining long-term vendor relationships. The article predicts that the next round of B2C expansion will present an 80/20 pattern: 80% of retail liquidity will be controlled by 3 to 5 Web2/fintech giants such as Visa, Stripe, Robinhood, PayPal, and BlackRock, providing compliance and fiat entry; 20% will be an unlicensed DeFi sandbox for validating initial product-market fit. The growth path for startups should be to first validate PMF in the DeFi sandbox, then integrate or sell to the few Web2 gateways controlling the 80% distribution layer. The article believes that the current protocol cancellations and wave of startup closures are part of a "necessary market cleanup."

Sui posted on platform X, stating that Tessera provides a closed invoice settlement network for enterprises, and participating enterprises can join after passing KYC verification. The blockchain will display the payer, payee, and payment time, with the settlement amount shown as ▦▦▦.

Cyprus-based enterprise AI customer service company Omilia announced the completion of a $67 million Series B funding round, led by Expedition Growth Capital. The funds will be used to accelerate business expansion in North America and globally, with plans to open its first U.S. office in the second half of 2026.Omilia was founded in 2002 and focuses on providing self-learning agent CX solutions for enterprise call centers using its proprietary voice AI technology. The platform supports compliance standards such as FedRAMP, PCI-DSS, SOC 2, HIPAA, and GDPR.