Shenye Capital (Shenye Yuncong Artificial Intelligence Fund),<\/p>\n\n\n\n
Joint Investment by Fachuang Capital and Jiangbei Science and Technology Investment<\/p>\n\n\n\n
In just 30 days, the company successfully completed two consecutive rounds of financing, B1 and B2.<\/strong>, with capital raising proceeding at a steady and efficient pace and the industry\u2019s growth momentum continuing to rise. In accordance with the established plan, the company\u2019s Series B3 funding round is expected to be successfully concluded in July, and in-depth negotiations for the Series B+ round have now been fully launched. A tiered and progressive capitalization pathway has been fully established, and the company\u2019s overall valuation is expected toExceeded 2 billion yuan<\/strong>The<\/p>\n\n\n\n<\/figure>\n\n\n\n
Ten Years of Industry Experience: From a Content Provider<\/strong><\/p>\n\n\n\n
Advanced AI Audio-Visual Infrastructure<\/strong><\/p>\n\n\n\n
Founded in 2013 in the Jiangbei New Area of Nanjing, Xuanjia Technology is a leading cultural and technology enterprise prioritized for development in the region, a Nanjing-designated unicorn enterprise, and a National High-Tech Enterprise. As the lead initiator and core operating entity of the Artificial Intelligence Special Committee of the Tsinghua University Nanjing Alumni Association, the company leverages a four-dimensional collaborative innovation system\u2014comprising \u201cacademia, industry, capital, and government\u201d\u2014to deeply integrate Tsinghua alumni experts, industrial resources, and investment and financing platforms across the Yangtze River Delta, thereby creating a unique competitive advantage rooted in the Tsinghua ecosystem. Since its inception, the company has been deeply rooted in Tsinghua\u2019s technological heritage. Its core management and technical leadership teams consist of top-tier talent from the Tsinghua ecosystem, possessing both proven experience in taking companies public and cutting-edge AI research capabilities. It is one of the few companies in China that successfully combinesExperience in overseas capitalization + research background from top universities + long-term industry expertise<\/strong>The core team.<\/p>\n\n\n\n
The company\u2019s core team has a clear division of labor and is highly complementary, forming a complete closed-loop system that drives the company\u2019s development:<\/p>\n\n\n\n
Steering the Capital Strategy: Chairman Zhu Jianhua<\/strong><\/p>\n\n\n\n
He holds a bachelor\u2019s and master\u2019s degree from the Department of Precision Instruments at Tsinghua University and is a senior member of the Tsinghua Entrepreneurs and Entrepreneurship Association (TEEC). He previously served as CEO of Yongxin Shibo and successfully led the company\u2019s initial public offering on the New York Stock Exchange. As a leading figure in China\u2019s audiovisual industry, he spearheaded efforts in his early career to overcome a critical bottleneck in digital television signals, breaking foreign technological monopolies. He possesses extensive experience in tackling complex technical challenges, scaling industrial operations, and managing the full process of corporate capitalization, thereby laying a solid foundation for the company\u2019s top-level strategy, governance standards, and path to going public.<\/p>\n\n\n\n
Comprehensive Industry Management: CEO Qin Lin<\/strong><\/p>\n\n\n\n
Tsinghua EMBA; currently pursuing a Ph.D. in Communication Studies at Nanjing University; a leading figure in China\u2019s radio, television, and online audiovisual industries. Leveraging Tsinghua\u2019s industrial network and the resources of its AI Specialized Committee, he comprehensively coordinates corporate industrial implementation, national market expansion, commercial operations, and global development strategies. He has long served as a bridge between government-enterprise platforms, industrial ecosystems, and investment institutions, steadily advancing each round of financing and the company\u2019s standardized development, thereby solidifying the company\u2019s revenue base and establishing a dual growth curve centered on deep domestic penetration and overseas expansion. Furthermore, leveraging a multidisciplinary academic background at the intersection of technology, industrial operations, and humanities and communication, he has successfully implemented AI-driven cultural innovation scenarios, building differentiated industrial and ecological barriers to support the company\u2019s industrialization of AI audiovisual technology and the global expansion of its content.<\/p>\n\n\n\n
Academic Support: Lu Zengxiang, Chief Technical Advisor<\/strong><\/p>\n\n\n\n
He holds a complete academic background\u2014bachelor\u2019s, master\u2019s, and doctoral degrees\u2014from the Department of Automation at Tsinghua University. Appointed as a full professor at Tsinghua University at the age of 29, he is a pioneer in the field of digital audio-visual and multimodal signal processing in China and has long provided top-level academic framework support for the Kino-AIGC large model. As one of China\u2019s leading early scholars in cross-modal audiovisual modeling, he has published a total of 73 highly cited papers in EI, SCI, and top-tier conferences. He has conducted in-depth research on original theories regarding the temporal logic of audio and video and multi-channel information fusion, filling a gap in the foundational theory of long-form video semantic understanding in China. He served as the first director of Tsinghua University\u2019s Institute of Digital Interactive Technology, spearheaded efforts to localize digital television technology in China, and developed the country\u2019s first broadcasting transmission system with independent intellectual property rights. With extensive experience in the large-scale implementation of audiovisual industrial projects, he continues to guide efforts in model lightweighting, adaptation to domestic computing power, and the establishment of industrial production pipelines, thereby bridging the entire chain from algorithm R&D to mass delivery.Tackling Cutting-Edge Algorithms: Chief Scientist Wu Wen<\/strong><\/p>\n\n\n\n
He earned his bachelor\u2019s degree from Tsinghua University, his master\u2019s degree from the National University of Singapore, and his Ph.D. in Artificial Intelligence and Visual Recognition from Carnegie Mellon University (CMU). He led the development of the underlying training framework and algorithmic system for Xuanjia\u2019s Kino-AIGC large-scale video model from start to finish. With over a decade of deep expertise in computer vision, dynamic video generation, and multimodal cross-domain alignment, he has published more than 30 papers in top international conferences and SCI-indexed journals and holds over 20 invention patents in both China and the United States. He has effectively overcome common industry bottlenecks such as temporal discontinuities in long videos and distortion of human motion. He previously served as a postdoctoral researcher at Carnegie Mellon University\u2019s School of Computer Science and Engineering and as Head of Visual Algorithms at Siemens Research USA, where he spearheaded the development of core visual algorithms for the entire product line, established a comprehensive industrial-grade AI R&D system, and built cutting-edge technological barriers for the company.<\/p>\n\n\n\n
Backed by a top-tier team of experts from Tsinghua University and its affiliated institutions, the company has consistently maintained high levels of R&D investment, with R&D personnel accounting for over 60% of the workforce. It has established a dedicated R&D team of over 100 members focused on multimodal large language models, with core R&D members hailing from Tsinghua University, the University of Science and Technology of China, Nanjing University, Harbin Institute of Technology, University of Electronic Science and Technology of China, Fudan University, Duke University, Carnegie Mellon University, among other leading universities both in China and abroad, and continues to tackle the underlying core technologies of large-scale video models.<\/p>\n\n\n\n
With over a decade of experience in the industry, Xuanjia TechnologyThe company's operations span 27 provinces across the country<\/strong>(math.) genusWe have served more than 160 million household users to date<\/strong>, drawing on a wealth of real-world implementation experience and proven engineering capabilities, the company has made a transformative leap from a traditional content provider to a provider of new AI-powered audiovisual infrastructure services.<\/p>\n\n\n\n
Major Technological Breakthrough: In-House Developed Foundational Large Model<\/strong><\/p>\n\n\n\n
Setting the Standard for Industrial-Scale AI Audio-Visual Production<\/strong><\/p>\n\n\n\n
Since 2023, the company has fully focused on the core sector of AIGC video industrialization, relying on a top-tier Tsinghua-affiliated R&D team,Independently Developed Kino-AIGC Video Large Model<\/strong>, becomingThe only large-scale video model in Jiangsu that has completed filing with the Cyberspace Administration of China<\/strong>, The model\u2019s overall performance has topped the industry\u2019s authoritative VBENCH rankings, leading the industry in core dimensions such as temporal coherence, semantic understanding, high-definition dynamic generation, and multi-object logical processing.<\/p>\n\n\n\n<\/figure>\n\n\n\n
Leveraging its proprietary multi-model intelligent collaborative scheduling system, the company has completely transformed traditional film and television production models, reducing production lead times\u2014which traditionally required dozens of people and took tens of days\u2014to just 7 days with a team of 1\u20133 people for efficient delivery. At the same time, by continuously optimizing the underlying architecture, the company has reduced computing power consumption by 70% and training costs by 60%, truly achieving low-cost, high-concurrency, and standardized industrial-scale batch delivery of AI video content.<\/p>\n\n\n\n
Currently, the company has established in-depth ecosystem partnerships with leading computing power and technology providers such as Huawei Kunpeng and Ascend, Tencent Cloud, China Telecom Cloud, and Baidu, building a complete closed-loop ecosystem encompassing \u201cin-house models\u2014domestically developed computing power\u2014industry platforms\u2014commercial implementation.\u201d Building on this robust technological foundation, the company has launchedKino Vision AI Short-Form Drama Industrialization Platform<\/strong>, streamlining the complex film and television production process into five standardized stages to achieve a leap forward in industry efficiency:<\/p>\n\n\n\n
\n
Content Production Efficiency Increased by 90%<\/strong><\/li>\n\n\n\n
Labor costs reduced by 75%<\/strong><\/li>\n\n\n\n
Cost of Reusing Assets Reduced by 80%<\/strong><\/li>\n\n\n\n
Overall production cycle reduced by 75%<\/strong><\/li>\n<\/ul>\n\n\n\n
As of today.The company's AI video production has surpassed 100,000 minutes<\/strong>, with operations spanning a diverse range of scenarios, including premium short-form dramas, commercial advertisements, urban culture and tourism, e-commerce content, and government publicity, serving production studios, film and television companies, content platforms, and industrial parks.<\/p>\n\n\n\n<\/figure>\n\n\n\n
The funds raised in this round will be strategically allocated to four core strategic areas to achieve synergistic upgrades in technology, industry, markets, and globalization, thereby continuously strengthening the company\u2019s core competitive advantages:<\/p>\n\n\n\n
\n
Continuous Iteration and Upgrades to the Model:<\/strong>Deeply optimize the core capabilities of the Kino-AIGC large model\u2014including cross-modal content understanding, stable generation of long-sequence videos, and multi-agent collaborative creation\u2014to continuously strengthen our independent and controllable underlying technological barriers;<\/li>\n\n\n\n
Platform Ecosystem Expansion and Iteration:<\/strong>Enhance Kino Vision\u2019s one-stop industrial production capabilities, fully open its API interfaces and plugin ecosystem, and comprehensively empower small and medium-sized creators, film and television studios, and government and corporate institutions to achieve autonomous and intelligent AI-driven content production;<\/li>\n\n\n\n
Building an In-House Computing Cluster:<\/strong>Continuously expand our dedicated computing infrastructure and establish a highly stable, low-cost, and high-concurrency computing inference support system to provide a solid foundation for the delivery of large-scale projects both domestically and internationally;<\/li>\n\n\n\n
Expansion in Both Domestic and International Markets:<\/strong>We are deeply engaged in addressing the digital transformation needs of various domestic vertical industries, while simultaneously accelerating the implementation of our globalization strategy to capture the trillion-level growth opportunities in the emerging global AI culture market.<\/li>\n<\/ul>\n\n\n\n
Currently, the company\u2019s global expansion has entered the implementation phase, with construction officially underway on the global AI content hub for international expansion, and its core strategic products for international expansionKino Ripple AI Industrialized Content Distribution Platform<\/strong>It will launch simultaneously in July, fully integrating the entire workflow\u2014from intelligent content production and multilingual intelligent translation and dubbing to precise global distribution. Leveraging a fully independent and controllable industrial chain, the platform will deeply tap into the potential of the AI-driven cultural export market and help high-quality Chinese digital content reach global audiences on a large scale.<\/p>\n\n\n\n<\/figure>","protected":false},"excerpt":{"rendered":"
Recently, Xuanjia Technology, a company based in the New District, reached another major milestone by officially completing its Series B2 funding round. This round was led by Shenye Capital (Shenye Yuncong Artificial Intelligence Fund) and Fachuang [\u2026]<\/p>","protected":false},"author":2,"featured_media":16898,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[84],"tags":[],"class_list":["post-16897","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chan_ye_lian_xun_xi"],"acf":[],"yoast_head":"\n
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