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New area enterprises Xuanjia technology to meet an important milestone
The B2 round of financing was officially completed
The round was funded by
Shenye Capital (Shenye Cloud from Artificial Intelligence Fund),
Fachuang Capital, Jiangbei Science Investment joint investment
In a short period of 30 days, the company effectively landed B1 and B2 two rounds of continuous financing, the capital promotion rhythm is steady and efficient, and the industrial development potential continues to rise. According to the established plan, the B3 round of financing of the company is expected to close smoothly in July. At present, the in-depth negotiation of B+ round financing has been fully started, and the capitalization path of the hierarchical and progressive is fully opened. The overall valuation of the company is expected to exceed 2 billion yuan.
Ten years of industry precipitation: from content service providers
New Infrastructure for Advanced AI Audio-Visual
Xuanjia Technology was founded in 2013 in Jiangbei New District, Nanjing. It is a leading cultural and technological enterprise in the regional key cultivation, a unicorn enterprise cultivated in Nanjing, and a national high-tech enterprise. As the leading and core operating unit of Tsinghua Nanjing Alumni Association Artificial Intelligence Special Committee, the company relies on the four-dimensional collaborative innovation system of “academic – industry – capital – government”, deeply interacts with Tsinghua alumni experts, industrial resources and investment and financing platforms in the Yangtze River Delta, and forms a unique ecological empowerment advantage of Tsinghua. Since its inception, the company has been deeply rooted in Tsinghua technology gene. The core management and technical leader team are all top talents of Tsinghua system, with mature practical experience in listing and top AI scientific research strength. It is a rare core team in China with both successful overseas capitalization experience, scientific research foundation of top universities and long-term industry deep experience.
The core team of the company has a clear division of labor and a high degree of complementarity, forming a complete closed-loop driven by enterprise development:
Capital Strategy at the helm: Chairman Zhu Jianhua
Master of Precision Instrument Department of Tsinghua University, senior member of Tsinghua Entrepreneurs Association (TEEC), used to head Yongxin Vision and successfully led the company to land on the New York Stock Exchange. As a leader in the domestic audio-visual industry, he led the team to overcome the digital TV signal “jammer” problem in the early years, broke the overseas technology monopoly, and has mature hard core technology, industrial large-scale operation and enterprise capitalization of the whole process of operating experience, for the company’s top-level strategy, governance norms and listing path to build a solid core chassis.
Industry global Trading: CEO Qin Lin
Tsinghua EMBA, PhD candidate in communication studies at Nanjing University, leading talent in the national radio, television and network audio-visual industry. Relying on the ecological resources of Tsinghua industrial circle and AI Special Committee, fully coordinated enterprise industry landing, national market layout, commercial operation and global development strategy. Long-term linkage between government and enterprise platforms, industrial ecology and investment institutions, steadily promote the landing of each round of financing and the standardization of the company, consolidate the basic structure of enterprise revenue, and build a double growth curve of deep cultivation at home and overseas expansion. At the same time, relying on the cross-compound academic background of technology industry operation and humanistic communication, the AI+ culture compound innovation scene is accurately implemented, and the differentiated industry and ecological barriers are built for the enterprise AI audio-visual industrialization and content globalization to go abroad.
Academic base support: Chief Technical Advisor Lu Zengxiang
He has a complete academic background of bachelor, master and doctoral in the Department of Automation of Tsinghua University. He was awarded the full Professor of Tsinghua University at the age of 29. He is the founder of the domestic digital audio-visual and multi-modal signal processing field, and has provided the top academic framework support for the Kino-AIGC large model for a long time. As a top scholar of early cross-modal audio-visual modeling in China, he has published 73 EI, SCI and highly cited papers, deeply cultivates the original theories of audio and video temporal logic and multi-channel information fusion, and fills the theoretical gaps at the bottom of long video semantic understanding in China. He served as the first director of Tsinghua Institute of Digital Interactive Technology, led the domestic digital TV localization research, built the first set of independent intellectual property rights of radio and television transmission system in China, with large-scale implementation experience of large-scale audio-visual industry, continued to guide the model lightweight, domestic computing power adaptation, industrial production pipeline construction, and open up the full link from algorithm research and development to batch delivery.
Frontier algorithm attack: Chief scientist Wu Wen
He received an undergraduate degree from Tsinghua University, a master degree from the National University of Singapore, and a doctor degree in Artificial Intelligence and Visual Recognition from Carnegie Mellon University (CMU). He led the construction of the underlying training framework and algorithm system of Xuanjia Kino-AIGC video large model in the whole process. He has been deeply engaged in computer vision, dynamic video generation, and multi-modal cross-domain alignment for more than ten years. He has published more than 30 international conferences and SCI papers, and holds more than 20 Chinese and American invention patents, effectively overcoming common bottlenecks in the industry such as long video timing breaks and character motion distortion. He once served as a postdoctoral fellow in the School of Computer Science of Carnegie Mellon University and the head of vision algorithm of Siemens American Research Institute. He led the completion of the core vision algorithm research of the whole department of products, settled down a complete set of industrial-grade AI research and development system, and built international frontier technical barriers for enterprises.
Relying on the support of the top Tsinghua expert team, the company has maintained high intensity research and development investment for a long time, accounting for more than 60% of R & D personnel, and established a special research and development team of 100 people for multimodal large models. The core R & D members are from Tsinghua University, 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 and other top universities at home and abroad, and continue to tackle the core technology of the underlying video model.
More than ten years of deep cultivation in the industry, Xuanjia Technology business covers 27 provinces across the country, serving more than 160 million household users, accumulating massive real scene landing experience and mature engineering delivery capabilities, and completing the leapfrog upgrade from traditional content service providers to AI audio-visual new infrastructure service providers.
Technical core breakthrough: Self-research underlying large model
Build a benchmark for AI audio-visual industrialization
Since 2023, the company has fully anchored AIGC video industrialization core track, relying on the R&D team of the top Tsinghua Department, independently developed Kino-AIGC video model, becoming the only video model in Jiangsu to complete the record of the CAC, and the comprehensive ability of the model has reached the top of the industry authoritative list VBENCH. It leads the industry in core dimensions such as temporal coherence, semantic understanding, high-definition dynamic generation, and multi-object logic processing.
Relying on the original multi-model intelligent collaborative scheduling system, the company completely reconstructs the traditional film and television production mode, compressing the traditional production period of tens of days to 1-3 people and 7 days for efficient delivery, and continuously optimizing the underlying architecture to reduce computing power consumption by 70% and training costs by 60%. It truly realizes low-cost, high-concurrency, and standardized AI video industrial batch delivery.
At present, the company has reached deep ecological cooperation with Huawei Kunpeng, Tencent Cloud, Tianyi Cloud, Baidu and other head computing power and technology manufacturers, and built a complete closed loop of “self-research model — domestic computing power — industrial platform — commercial landing”. Based on the base of hard core technology, the company launched Kino Vision AI short play industrialization platform, simplifying the complex film and television production process into five standardized links, and realizing the leap innovation of industrial efficiency:
Content production efficiency is increased by 90%, manpower production cost is reduced by 75%, material reuse cost is reduced by 80%, and overall production cycle is reduced by 75%
Up to now, the company’s AI video industrial production has exceeded 100,000 minutes, covering high-quality short plays, commercial advertisements, urban cultural tourism, e-commerce content, government propaganda and other diverse scenes, serving creation studios, film and television companies, content platforms and industrial parks.
The funds raised in this round will be invested in four core strategic directions, realize the coordinated upgrading of technology, industry, market and globalization, and continue to enlarge the core competition barriers of enterprises:
Continuous iterative upgrading of the model: deep optimization of Kino‑AIGC large model cross-modal content understanding, long-term video stable generation, multi-agent collaborative creation and other core capabilities, continued to consolidate the underlying technical barriers of autonomy and control; Iteration of platform ecological expansion: improve Kino Vision’s one-stop industrial production capacity, fully open the API interface and plug-in ecology, and fully empower small and medium-sized creators, film and television studios, government and enterprise institutions to achieve autonomous and intelligent AI content production. Self-owned computing power cluster construction: continue to expand the exclusive computing power infrastructure, build a high-stability, low-cost, high-concurrency computing power reasoning support system, and provide a solid foundation for the delivery of large-scale projects nationwide and overseas. Two-way expansion of domestic and foreign markets: deeply cultivate the digital transformation needs of domestic vertical industries, synchronously promote the implementation of globalization strategy at full speed, and seize the trillion-level new incremental track of AI culture going abroad.
At present, the global layout of the enterprise has entered the physical landing stage, the construction of the global AI content overseas hub has officially started, and the core strategic overseas product Kino Ripple AI content industrial distribution platform will be launched simultaneously in July, completely opening up the full link of intelligent content production, multi-lingual intelligent translation, and precise distribution of global channels. Relying on a complete, independent and controllable industrial chain, we will deeply tap the potential of AI culture in the overseas market, and help China’s high-quality digital content scale up to the world.
