【Shenzhen, Gu】AI Cube Completes Seed Round Financing, Launches ‘Agent + CapCut Workflow Reconstruction’ to Solve AIGC Implementation Challenges

Editor’s Note

This article reports on AI Cube’s recent seed funding round. While the investment from a jewelry brand highlights cross-industry interest in AI video tools, the specific applications and technological differentiators remain to be seen in a rapidly evolving market.

AI Cube Secures Million-Yuan Seed Round for AI Video Generation Solutions

36Kr has learned that Shenzhen Tuowei Changsheng Technology Co., Ltd. (brand name “AI Cube”), a developer of AI-powered brand video intelligent solutions, has completed a million-yuan seed round of financing. This round was invested by the jewelry brand Sanli Jinzhu. The raised funds will primarily be used for core algorithm optimization, the research and development of multi-industry video intelligence solutions, and market expansion, aiming to promote the realization of “AI content industrial production” for enterprises through continuous improvement of the product matrix.

From entry-level to professional, AI Cube provides AI video production solutions tailored for businesses of different scales. Its core products, based on multimodal AI engines like CogVideoX and Tongyi Wanxiang, enable intelligent generation across the entire chain of images, text, video, and audio. This helps enterprises build a privatized brand brain, establish exclusive knowledge bases and prompt libraries, and output scripts, storyboards, and 3D rendered videos with one click. Through its proprietary “CapCut Creative Workflow Reconstruction” technology, text instructions directly reach the timeline, seamlessly connecting with mainstream editing tools. Currently, its monthly revenue has exceeded 200,000 RMB, and the annual service contract value signed has reached over 2.3 million RMB. Its clientele spans sectors such as jewelry, cultural tourism, and local group-buying service providers.

Addressing the “Usability Dilemma” in AIGC Commercial Implementation
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Against the backdrop where the AIGC industry commonly faces a “technology usability dilemma,” AI Cube focuses on solving key pain points for commercial implementation. Third-party data shows that over 80% of enterprises struggle with issues like repetitive video material production and inefficient cross-departmental collaboration, with the average production cycle for a single promotional video reaching 72 hours. Although tools like Dreamina and Kling have achieved AI video generation functions, their “black-box” outputs are difficult to adapt to enterprises’ high-frequency, strongly branded content needs. Compared to traditional tools that require manual setting of thousands of prompt groups, AI Cube’s privatized agent system deeply integrates brand VI standards and product databases with AI algorithms. After training, it enables batch video generation while ensuring strict visual consistency, reducing labor costs by 90%.

“AI-driven video production is becoming a core trend in industrial evolution. The combination of brand customization × multimodal generation models × one-stop agent architecture is reshaping enterprise content production paradigms and providing significant cost reduction and efficiency improvement paths for brand departments in traditional industries like jewelry.”

Founder Liu Yibin stated that the investor, Sanli Jinzhu Jewelry Brand, made this strategic investment based on recognition of the long-term value of AI technology in brand marketing and intelligent upgrading. Through strategic investment and industrial resource synergy, they aim to jointly promote the digital and intelligent transformation of the jewelry industry.

Expansion and Service Portfolio
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In terms of expansion, AI Cube has established local sites in Shenzhen, Guangdong, and Changsha, Hunan, and will expand to Shanwei, Guangdong; Xiamen, Fujian; and Dali, Yunnan within the next month, gradually forming a broader online and offline enterprise service system. Currently, AI Cube offers four main services: Mixed Editing with Live Shots, AI Generation Basic, AI Generation Enhanced, and SaaS Customization. The SaaS Customization version not only helps enterprises unify video styles and achieve large-scale, low-cost production but can also integrate AI-customized functions such as shopping malls, social circles, customer service systems, and small-screen hardware players. It supports full-process tracking of generation counts, popularity, and dissemination effects, helping enterprises build an efficient, intelligent, and scalable video content ecosystem.

“We are optimistic about AI Cube’s ability to implement technology in the field of brand video production. They not only solve the production efficiency problem for enterprise videos but also find a balance between customization and scalability. In the future, as the team continues to integrate algorithms, application scenarios, and industrial resources, we believe it has the potential to become one of the benchmarks for AI video enterprise services in China.”

This statement came from a relevant person in charge of the investor, Sanli Jinzhu.

At a time when AIGC enterprise services in China are still in the exploratory stage, AI Cube has taken the lead in validating the “Agent + CapCut Creative Workflow Reconstruction” model, bringing an efficient, intelligent, and iterative content production system to the content production chain of traditional enterprises. As AI video technology continuously moves from proof-of-concept to production-grade applications, adhering to the vision of “enabling enterprises to possess their own brand content AI engine,” AI Cube is jointly promoting brand content production into a new stage of true intelligence and scalability.

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⏰ Published on: September 18, 2025