PixVerse, a Singapore-based startup and pioneer in artificial intelligence video generation, has demonstrated significant progress in the race for dominance in the AI video sphere. The two-year-old company secured additional funding of $439 million in a Series C extension round, boosting its valuation above the $2 billion mark.
With support from global giants such as Alibaba, PixVerse is moving beyond being a simple tool for creating short video clips. With over 150 million registered users across 177 countries, the company plans to use the capital raised to move beyond traditional video generation and develop real-time interactive worlds.
A central element of PixVerse's plans is R1, a world model that is the first of its kind in real-time and was launched in January 2026. Unlike standard video generators that produce a fixed result after an input prompt, R1 transforms video into a continuous, interactive stream that instantly responds to user commands. During the presentation of this technology, the startup showed how a user could summon a virtual weather phenomenon, such as 'thunder and rain,' over a digital image of Earth.
PixVerse's new game engine allows users to interact with the environment using natural language, while the engine itself generates the visual and mechanical world on the fly, rather than requiring navigation through pre-rendered environments. As co-founder Jaden Xie noted, 'Creating is already playing.'
The timing of PixVerse's major round proved opportune, as the generative video race remains open, especially given OpenAI's shift away from the Sora 2 project. Seeing clear commercial opportunities, international investors are showing active interest. New participants in this round include Alibaba, Lollapalooza Capital, Ivy Capital, Grand Mount Capital, Eastern Bell Capital, Mirae Asset, BlueFocus, and CloudAlpha. They join existing investors such as iGlobe Partners and LionX Ventures from OCBC.
PixVerse positions itself as a leading enterprise alternative for companies seeking to integrate high-cinematic quality video and real-time streams into their workflows, avoiding complete dependence on Western laboratories. Instead of focusing on collecting massive datasets like competitors, PixVerse uses a different approach. According to Xie, the company's competitive advantage lies not in data scale but in its data labeling methods. Leveraging the extensive experience of CEO Changhu Wang in computer vision at ByteDance, PixVerse employs precise visual annotation techniques similar to those that optimized TikTok algorithms.
This patented labeling method allows the company's core models to understand motion, lighting, and camera tracking much better than when trained on raw data. PixVerse scales intelligently, and investors have collectively invested over $700 million, believing that this smart and efficient approach will secure victory in the AI video war. Beyond gaming, the platform targets live digital experiences, offering interactive streaming where AI-generated virtual characters respond in real-time to viewer actions. This opens new horizons for virtual hosting, interactive advertising, and digital entertainment. Through the combination of high-quality video and continuous, user-driven generation, PixVerse is transforming the concept of content. The startup's 150 employees, distributed across Singapore, Beijing, and Shanghai, are working towards a future where digital worlds are not just viewed.
Although Elon Musk may have presented the market with a vision of space-driven Artificial Intelligence, Wall Street analysts indicate that SpaceX's immediate and real value lies on Earth, where the company develops essential infrastructure for the growth of artificial intelligence, according to Reuters analysis.
The computing contracts signed by SpaceX with companies such as Anthropic, Google, and Reflection AI, intended for its Colossus supercomputer clusters, are projected to generate over US$ 28 billion in annual revenue. This amount exceeds the approximately US$ 3.2 billion in registered AI revenue for the company in 2025 and is higher than the individual revenues from rocket launch services and Starlink connectivity.
In 2025, SpaceX directed an investment of nearly US$ 18 billion towards AI infrastructure and development. This figure includes US$ 12.7 billion in capital expenditures related to AI and US$ 5.1 billion in research and development activities, significantly exceeding spending on the space and connectivity segments.
J.P. Morgan projects that SpaceX will increase its terrestrial processing capacity to approximately 9 gigawatts by 2029. This capacity would be equivalent to about four times the energy produced by the Hoover Dam in the United States. The Colossus and Colossus II complexes together offer about 1 gigawatt of computational capacity, positioning SpaceX among the leading global AI infrastructure providers.
Additionally, analysts point to the acquisition of the AI coding startup Cursor for US$ 60 billion as proof that SpaceX is diversifying its operations, moving from mere infrastructure to corporate software. This allows the company to monetize both AI applications and the computing capacity that supports them.
Musk's vision of using computing satellites in orbit remains a long-term possibility, but it depends on technological advancements that have not yet been fully achieved. Bank of America analysts, cited by Reuters, stated that the long-term viability of orbital data centers has not yet been proven and is strongly tied to pending technological milestones.
Anthony Milovantsev, a partner at the consulting firm Altman Solon, commented to Reuters that the idea that orbital AI will drastically revolutionize terrestrial data centers is an exaggeration. He estimated that any change in terrestrial data centers is more than ten years away.
J.P. Morgan predicts that SpaceX will keep its terrestrial clusters operational after 2029, gradually supplementing them with orbital capacity. Although solar-powered satellites could reduce costs related to energy, cooling, and physical space—major challenges for conventional data centers—this possibility depends on Starship achieving very low launch costs and a high reuse rate.
LinqAlpha has successfully raised $22 million in a Series A funding round. These funds are earmarked to accelerate the growth of its artificial intelligence platform designed for institutional investors.
The round was supported by investors such as AVP, Atinum Investment, and GFT Ventures. Additionally, several strategic financial institutions and venture platforms from Europe, Asia, and the United States participated. The New York-based company develops what it calls the Alpha Intelligence Layer for global public markets.
The platform assists investment specialists in processing complex market information using specialized AI agents. With this new funding, LinqAlpha's total raised capital has increased to approximately $28.6 million.
LinqAlpha was founded in 2022 by Jacob Choi, Subin Pang, Jin Kim, and Hodjun Choi. The founding team combines financial expertise with research in artificial intelligence. Among the founders are former Goldman Sachs analysts and MIT computer science graduates.
As public markets become increasingly interconnected, investors are forced to simultaneously track earnings reports, policy changes, supply chain events, credit markets, and social media signals. LinqAlpha believes that traditional analysis methods cannot keep up with such a growing volume of data. The platform allows investment teams to use AI agents trained on their own research history instead of relying on general language models. These agents then link new market events to previous investment ideas to generate relevant insights. One of the founders noted that the competitive advantage lies in identifying market-influencing signals even before they become widely known.
Currently, the platform is used by over 70 financial institutions. Clients include research, trading, and sales teams at major investment banks. On the buying side, clients include Causeway Capital Management LLC and Schonfeld Strategic Advisors LLC. The company initially started in Cambridge, Massachusetts, and later operated between South Korea and the United States before establishing its headquarters in New York. During this period, the business also underwent two rebrandings before adopting the name LinqAlpha.
The new funding will allow the company to expand its international staff. Management also plans to strengthen integration with market and alternative datasets. Additional investments will be directed towards implementing equity, macroeconomics, credit, and multi-asset investment strategies.
LinqAlpha is entering the competitive market of AI research platforms. Demand continues to grow as investment firms seek faster analysis without compromising their proprietary insights. According to Manish Agarwal, General Partner at AVP, many AI products focus on automating routine tasks or accelerating information retrieval. He believes that LinqAlpha helps investors find differentiated investment ideas through context-aware intelligence.
Competition remains significant, as large AI service providers have attracted significantly more funding in recent years. Nevertheless, LinqAlpha asserts that its specialized approach better meets the needs of institutional investors who seek bespoke analysis rather than standard AI outputs. Industry forecasts also point to continued expansion in financial AI, with growing adoption among banks, insurance companies, and asset managers expected to attract further investment in companies developing specialized corporate AI platforms. LinqAlpha's long-term success will likely depend on demonstrating measurable value to institutional clients operating in increasingly complex global markets.
