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AI infrastructure startup Trajectory has completed a $40 million financing round, with participation from Sequoia Capital

According to The Information, AI infrastructure startup Trajectory announced the completion of a $40 million financing round, with a post-money valuation of $300 million, co-invested by Sequoia Capital. The specific financing round and other investors have not been disclosed.Trajectory was founded by researchers from tech companies such as Google and Apple, and primarily helps businesses customize open-source AI models for specific business needs, as well as optimize the software toolchain that supports AI Agent operations (referred to as "Agent Harness"). As the costs of using closed-source large models continue to rise, more and more companies are looking for alternatives: on one hand, they are reducing costs by fine-tuning and customizing open-source models, and on the other hand, they are improving the Agent execution framework to enable AI models to more effectively call tools and execute tasks.This trend is driving a new wave of entrepreneurial enthusiasm around model adaptation and Agent infrastructure. Trajectory aims to address key issues faced by enterprises in deploying AI Agents, including model performance optimization, task execution reliability, and adaptation to enterprise scenarios. The company hopes to help businesses build more efficient and cost-effective AI applications by providing model customization and Agent operation infrastructure.Investors believe that as AI evolves from simple chatbots to Agents capable of autonomously executing complex tasks, a new layer of infrastructure around model optimization and Agent engineering will become an important market. In recent years, Sequoia has also continued to increase its investment in the AI infrastructure sector, including investments in AI Agents and enterprise AI applications.

The decentralized data infrastructure project Permacast has completed a total of $8.9 million in financing, with participation from OKX Ventures and others

According to the New York Daily, the decentralized data infrastructure project Permacast based on Permaweb announced the completion of its Series A funding round on January 15, 2025, raising over $5 million. Combined with the previously completed seed round and Pre-A round, the total funding raised by the project has reached $8.9 million.This round of financing received support from several leading Web3 funds, technology investment institutions, and strategic angel investors. Seed round investors include OKX Ventures, Big Brain Holdings, ChainVision, Foresight Research, and Digital Humanism (DRF); Pre-A round investors include ClearingPoint, 7 O'Clock Capital, Cipholio Ventures, SilverFox Foundation, and a number of private investors; Series A round investors include CoinSummer, angel investor Tomasz Boryniec, Waterwood Investment (Tsinghua), Scorpio VC, and a number of private investors.Permacast stated that as AI models reshape the way information is created and utilized, the demand for trustworthy, permanent, and verifiable data infrastructure is growing. The new funds will be used to accelerate protocol development, expand decentralized network infrastructure, strengthen ecological cooperation, and expand the engineering and product teams. The team stated that a permanent, verifiable, and open data network will become the foundational infrastructure for future intelligent applications.

RootData: The trading volume of perpetual contracts for exchange stocks dropped by nearly 90% over the weekend, but participation in stock expected pricing remains

According to data from RootData's stock perpetual contract exchange rankings, nearly 30 exchanges that have launched stock perpetual contracts still significantly adhere to the trading rhythm of traditional stock markets: trading volume drops sharply on weekends, and the morning session on Monday warms up as the traditional market approaches recovery, but has not yet returned to the intensity of a full trading day.Comparing trading days with non-trading days, the 24h trading volume of stock perpetual contracts dropped from approximately $39.078 billion to $4.896 billion, a decrease of about 87.5%. However, during the same period, the open interest slightly increased from $10.139 billion to $10.262 billion, indicating that positions have not been withdrawn on a large scale; what has truly decreased is active trading and turnover. A snapshot taken on the morning of Monday, July 27, shows that the 24h trading volume rebounded to $10.617 billion, an increase of about 116.8% compared to Sunday, indicating that market activity is recovering.In terms of liquidity, the weighted market depth (±2%) decreased from approximately $58.92 million to about $47.83 million, a decline of about 18.8%; it rebounded to around $55.68 million on Monday morning, nearing trading day levels. This indicates that the speed of order book recovery is faster than that of actual trading recovery, and market depth has not plummeted as sharply as trading volume.From the performance of exchanges, leading platforms such as Binance, OKX, and Bitget maintained relatively narrow spreads and strong depth on Monday morning; Hyperliquid performed well in rankings, but its trading volume was still below trading day levels; some long-tail platforms still face issues with excessively wide spreads, making it temporarily impossible to assess true liquidity.RootData Research believes that the most prominent value of these stock perpetual contract exchanges is to allow stock risks to be traded, priced, and hedged even on non-trading days of the traditional stock market. The traditional stock market is closed on weekends, with official prices remaining at the previous trading day's closing price, while stock perpetual contract exchanges still have trading, open interest, order books, and spreads on Sundays, indicating that crypto exchanges have broken through the "trading time" limitations of stocks.However, from the current data, they are participating in expected pricing rather than official pricing, making them more suitable for expressing events, emotions, macroeconomic changes, and risk preference shifts on non-trading days. Due to decreased trading volume over the weekend, widened spreads, and some platforms having abnormal data metrics, they currently resemble a "stock pre-opening price discovery layer," having participated in stock pricing but not yet obtaining the primary pricing power of the traditional stock market, nor have they surpassed the liquidity of the traditional stock market.
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