AI is showing off its technical prowess while people are burning the midnight oil: Jiying Autowin is dedicated to building the "AI underlying platform" for film, television and game production lines, enabling creators to go home on time every Friday.
AI technology may seem to bring magic, but in the asset-heavy film, television and game production lines, this magic has failed to change the most harsh reality: enterprise owners are still on tenterhooks every day over uncalculable computing power costs and hard-to-prevent asset leaks; countless front-line creators still have to apologize to their families for turning down dinner gatherings every weekend, just to go to the office computer to find the "final version" of the file. Guangzhou Jiying Culture Technology Co., Ltd. realizes that AI should not only be used to "show off skills", but more importantly to solve these painful internal frictions. The Autowin engine they launched is exactly an AI production line base that helps enterprises lock core heavy assets and free up balance between weekends and life. At present, Jiying Culture is seeking RMB 6 million in early-stage financing.
Real Dilemma: Swelling Computing Power "Bill", and Endless All-Nighters for Employees
Behind every stunning national-level animation or AAA game title, there are often hundreds of creators pulling all-nighters for countless days. Liu Fuhua, founder of Jiying Culture, has 17 years of in-depth experience in leading giants including Tencent, NetEase and Huaqiang Fantawild. What pains him most is not only the overspent budget, but also the fact that people are consuming the most precious energy of their lives on repeated cross-departmental haggling, permission verification and file transfer. In this traditional collaboration system, employees are running around in a flurry to find a complete set of accurate reference materials, and a hundreds-of-megabytes project file is transferred back and forth between different links, which easily leads to process gaps; in order to prevent the leakage of art settings, enterprises have to set up layers of anti-human approval processes. Communication has turned into mutual torturing internal friction.
The outbreak of generative AI has, on the contrary, made the situation more chaotic. Employees use their own accounts to "draw lots" to generate materials, and the files are scattered in various cloud disks and local hard drives, completely turning into a messy mess that cannot be sorted out. The result is that enterprises pay sky-high prices for computing power, but have no idea how many valid assets are produced by these computing powers, leading to an extreme lack of sense of security; while creators working at full capacity still have to overdraw their physical strength for meager progress, missing important moments of their children's growth again and again. Technology is advancing rapidly, but people on the production line still have not gained the dignity of taking a breather.
Breakthrough Solution: AI Central Takes Over Tedious Work and Redefines Working Hours
Faced with such huge internal friction, the solution proposed by the Jiying team is extremely straightforward: hand over all the anti-human tedious collaboration work to machines. The Autowin engine builds a transparent visualized node workflow, where content disassembly, setting rehearsal and asset generation are tightly interlocked on the same network. Every instruction issued at the front end will be accurately delivered to the workshop node, so that no one needs to copy files with USB flash drives, let alone beg others in the work group to send the latest version, and all links are traceable at any time.
In order to let enterprise owners sleep soundly at night, the system is developed at the bottom with a safe-deposit-box-like access control of "dual-cabin read-write isolation". The core assets of the enterprise are tightly locked in the "public material cabin" and cannot be damaged by anyone; while employees can freely try and make mistakes in the exclusive "personal workshop cabin", and the concept drafts produced will never pollute the overall asset pool. Combined with the enterprise pool A-token financial reconciliation system natively encapsulated by the system, managers can clearly see whether every unit of computing power is consumed in the early development stage or the later rendering stage. Enterprises can finally heave a sigh of relief, let down their guard and focus on pipeline upgrading; and creators can finally close their computers safely on Friday evenings and go home to have a warm meal with their families.
Value Delivery: Completely Eliminate Hidden Dangers, Leave Energy for Pure Creativity
This extremely down-to-earth and human-centric solution is inseparable from the dual-core team of Jiying, which has grown up through hard work in front-line practices. In addition to Liu Fuhua's pipeline operation experience, co-founder Zheng Guorong leads a team of hundreds of people that has served top-tier IPs such as *Honor of Kings*, *Delta Action*, and *League of Legends*, with a deep understanding of the real pain points and demands of large customers in high-speed operation. Such solid practical experience and resources endow Autowin with strong commercial implementation and channel expansion capabilities by nature.
At present, this system has been operating stably in the real production environment, and the team is providing private deployment services for heavy-asset leading customers with annual revenue of tens of millions. In the next step of Jiying's product evolution, Autowin will automatically generate a "working hour saving and cost tracking report" by capturing the operation data of underlying nodes. This quantitative system that directly addresses pain points will become the most powerful tool to assist B-end enterprises in making decisive procurement decisions. To consolidate this advantage, Jiying has launched a RMB 6 million early-stage financing, and the funds will be mainly used to expand the high-level R&D engineering team and reserve cloud computing power infrastructure.
Jiying does not blindly claim to subvert the industry, and it has always focused on the film, television and game CG fields that it knows best. But in fact, from industrial design to precision manufacturing, the entire pan-physical industry is struggling to find such an AI central base that can solve "creativity management", "asset management" and "team management" at the same time. This set of engineering governance standards that Jiying Culture Technology has verified in the audio-visual pipeline today may be an important puzzle piece for the entire heavy industry system to move towards AI collaboration tomorrow.