Chinese AI Chipmakers Target $1.66 Billion in Onshore Listings
Beijing-based Moore Threads plans to raise 8 billion yuan, equivalent to $1.12 billion, while Shanghai-based MetaX is targeting 3.9 billion yuan, according to prospectuses filed Monday with the Shanghai Stock Exchange.
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24 minutes ago
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Deadline Approaching: Reddit, Inc. (RDDT) Investors Who Lost Money Urged To Contact Law Offices of Howard G. Smith
BENSALEM, Pa.--(BUSINESS WIRE)--Law Offices of Howard G. Smith reminds investors of the upcoming deadline to file a lead plaintiff motion in the case filed on behalf of investors who purchased Reddit, Inc. ('Reddit' or the 'Company') (NYSE: RDDT) securities between October 29, 2024 and May 20, 2025, inclusive (the 'Class Period'). IF YOU ARE AN INVESTOR WHO SUFFERED A LOSS IN REDDIT, INC. (RDDT), CONTACT THE LAW OFFICES OF HOWARD G. SMITH TO PARTICIPATE IN THE ONGOING SECURITIES FRAUD LAWSUIT. Contact the Law Offices of Howard G. Smith to discuss your legal rights by email at howardsmith@ by telephone at (215) 638-4847 or visit our website at What Happened? On May 1, 2025, after market hours, Reddit released its first quarter 2025 financial results, marking a third consecutive quarter with slowdown in daily active user growth. On this news, Reddit's stock price fell $4.96, or 4.2%, to close at $113.83 per share on May 2, 2025, thereby injuring investors. Then, on May 19, 2025, Wells Fargo analysts downgraded Reddit's stock, stating that Google's AI features would likely cause 'permanent' disruptions to user traffic for Reddit, and that traffic to Reddit from Google Search would continue to decline and ultimately hurt Reddit's advertising revenue. On this news, Reddit's stock price fell $5.24, or 4.6%, to close at $107.99 per share on May 19, 2025. Then, on May 21, 2025, Baird analysts downgraded Reddit's stock, citing similar concerns as Wells Fargo. On this news, Reddit's stock price fell $9.79, or 9.3%, to close at $95.85 per share on May 21, 2025, thereby injuring investors further. What Is The Lawsuit About? The complaint filed in this class action alleges that throughout the Class Period, Defendants made materially false and/or misleading statements, as well as failed to disclose material adverse facts about the Company's business, operations, and prospects. Specifically, Defendants failed to disclose to investors that: (1) changes in Google Search's algorithm and features like AI Overview were causing users to stop their query on Google Search; (2) these algorithm changes were materially different than prior instances of reduced traffic to the Reddit website; (3) Defendants were aware that the increase in the query term 'Reddit' on search engines was because users were getting the sought after answer from Google Search without having to go to Reddit, and not because they intended to visit Reddit; (4) this zero-click search reality was dramatically reducing traffic to Reddit in a manner the Company was unable to overcome in the short term; (5) Defendants, therefore, lacked a reasonable basis for their outlook on user rates and advertising revenues; and (6) as a result, Defendants' positive statements about the Company's business, operations, and prospects were materially misleading and/or lacked a reasonable basis at all relevant times. If you purchased or otherwise acquired Reddit securities during the Class Period, you may move the Court no later than August 18, 2025 to ask the Court to appoint you as lead plaintiff if you meet certain legal requirements. Contact Us To Participate or Learn More: If you wish to learn more about this class action, or if you have any questions concerning this announcement or your rights or interests with respect to these matters, please contact us: Law Offices of Howard G. Smith, 3070 Bristol Pike, Suite 112, Bensalem, Pennsylvania 19020, Telephone: (215) 638-4847 Email: howardsmith@ Visit our website at: To be a member of the class action you need not take any action at this time; you may retain counsel of your choice or take no action and remain an absent member of the class action. This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and ethical rules.
Business Wire
33 minutes ago
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ValGenesis and CAI Partner to Advance AI-Enabled Digital Validation in Life Sciences
SANTA CLARA, Calif.--(BUSINESS WIRE)--ValGenesis, Inc., the global leader in digital validation lifecycle management, today announced a strategic partnership with CAI, a professional services firm specializing in accelerating operational readiness in mission-critical environments, to expand the use of artificial intelligence (AI) in life sciences validation. This collaboration aims to provide more efficient tech transfer across sites and programs, turning validation from a bottleneck into a strategic advantage. Through the partnership, CAI will deliver implementation services for ValGenesis' AI-enabled platform, helping life sciences companies modernize their validation processes, reduce manual effort, and improve compliance outcomes. This collaboration aims to provide more efficient tech transfer across sites and programs, turning validation from a bottleneck into a strategic advantage. ValGenesis' Smart GxP™ Platform transforms how life sciences companies manage data, processes, and compliance. It bridges the gap between R&D, validation, and manufacturing, unifying validation and process development in a single, scalable, AI-enabled platform. By digitally connecting all stages of the product lifecycle, the platform supports a closed-loop feedback cycle from process development to commercial manufacturing. 'At CAI, we see digital validation not just as a tool for compliance—but as a catalyst for innovation and speed,' said Sheena Dempsey, CEO of CAI. 'This partnership with ValGenesis allows us to help our life sciences clients turn regulatory requirements into strategic advantages. By integrating AI-enabled platforms with our elite field expertise, we're enabling companies to get therapies to patients faster, smarter, and with greater confidence." "ValGenesis is enabling faster market entry for vital therapies by transforming how life sciences companies approach validation," said Dr. Siva Samy, CEO and Chief Product Strategist at ValGenesis. "By partnering with CAI, we're ensuring that customers benefit not just from advanced technology, but from the expert services needed to implement and scale it successfully." ABOUT CAI CAI is a global professional services firm dedicated to the Life Sciences and Mission Critical industries. Since 1996, the company has been instrumental in bringing life-changing products to market for the most prominent businesses in regulated sectors. Their consistent growth stems from thousands of successful projects with hundreds of clients, all while remaining 100% employee-owned. This unique structure allows them to focus on superior client outcomes. The company actively shapes industry standards, contributing to rigorous guidelines through organizations like ASHRAE, ASTM, BCA, and ISPE. For more information, visit ABOUT VALGENESIS INC. ValGenesis is the creator of ValGenesis Smart GxP™, the life sciences industry's first fully integrated, cloud-based, AI-enabled platform for end-to-end product lifecycle digitalization. Trusted by 30 of the world's top 50 life sciences companies, our platform unifies intelligent, risk-based validation and process automation in a connected ecosystem—streamlining operations, driving compliance, and reducing risk. Purpose-built for life sciences, ValGenesis empowers global organizations to improve quality of life by accelerating the delivery of consistent, safer products. For more information, visit
Business Wire
33 minutes ago
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Observo AI Joins Google Cloud Partner Advantage
NEWARK, Calif.--(BUSINESS WIRE)--Observo AI, an AI-native data pipeline company solving data sprawl and exponentially rising costs in observability and security, announced today that it has joined Google Cloud Partner Advantage as a Partner level partner in the Build engagement model, giving Google Cloud customers the ability to leverage Observo AI to dramatically reduce security data volumes and costs while improving threat detection speed through AI-powered telemetry pipelines. Observo AI offers Google Cloud customers intelligent data optimization that enriches security telemetry by over 80% before it reaches Google Security Operations (SecOps), enabling faster threat detection and more comprehensive security coverage. Share As a Google Cloud partner, Observo AI offers customers intelligent data optimization that enriches security telemetry by over 80% before it reaches Google Security Operations (SecOps), enabling faster threat detection and more comprehensive security coverage. Key features include: 40% faster mean-time-to-resolution through AI-powered anomaly detection and sentiment analysis that prioritizes critical threats Smart data optimization and routing for Google SecOps with real-time threat intelligence integration and enrichment Orion agentic AI engineer that autonomously builds, optimizes, and maintains data pipelines while providing intelligent recommendations Enhanced threat hunting and forensics with searchable data lakes, natural language querying, and seamless BigQuery integration for advanced analytics Automated compliance protection with AI-powered PII detection and masking across all data streams Petabyte-scale processing handling enterprise data volumes while maintaining real-time performance 400+ tool integrations enabling seamless connectivity across existing security and DevOps ecosystems "Security teams are drowning in data growth while budgets remain flat. By joining Google Cloud Partner Advantage, Observo AI gives SecOps customers an AI data engineer that automatically optimizes their telemetry—cutting costs dramatically while actually improving their security posture," said Gurjeet Arora, Co-Founder and CEO of Observo AI. "Instead of choosing between comprehensive security coverage and budget constraints, teams can now have both." Learn more about Observo AI at About Observo AI: Observo AI builds AI-native data pipelines to solve the most pressing observability and security challenges for enterprises in the AI era. Using Machine Learning, LLMs, and Agentic AI, Observo automates data optimization, reduces costs by over 50%, and accelerates incident response by 40%+. Observo helps enterprises focus on the signal, not the noise, ensuring scalability, security, and operational efficiency. Learn more at
