Shengma Digital — The DaaS model lowers the threshold for AI hardware

Accelerated Hardware Iteration: Prominent Pain Points of Asset-heavy 3C and Embodied Intelligence Sectors

Against the backdrop of rapid iteration of the AI hardware industry, enterprises, merchants and institutional users are generally confronted with industry pain points such as high equipment procurement costs, fast hardware depreciation speed and high elimination rate caused by technical iteration. The traditional one-time buyout model forces micro, small and medium-sized enterprises to bear large-scale fixed asset investment, and is accompanied by problems including idle equipment, high operation and maintenance costs and serious residual value losses, which greatly raises the trial-and-error threshold for enterprises' digital upgrading.

This pain point is more prominent in the embodied intelligent robot track. Intelligent hardware such as humanoid robots and commercial service robots have high unit prices, extremely fast technical iteration and extremely high trial-and-error costs for scenario implementation. The vast majority of scenarios for commercial exhibition, government and enterprise experience, and store digital upgrading only require phased and periodic equipment use, which is not suitable for the asset-heavy procurement model. There has long been a structural gap in the market of "want to use but dare not buy, want to buy but not cost-effective".

The domestic 3C digital leasing industry has formed a mature basic business form, but the industry generally stays at the online fragmented equipment leasing services, lacking an integrated implementation model that combines online digital platform + offline physical experience center + high-end AI hardware robot asset operation. The industry as a whole presents the current situation of light weight, fragmentation and lack of standardized implementation scenarios, and the market is in urgent need of a professional and systematic hardware use right operation platform.

Shengma Digital, as a brand new capital entity, builds a full-scenario DaaS digital leasing system

Zhuhai Shengma Digital Technology Co., Ltd. is the new capital undertaking entity of the project, which carries out business independently with a brand new business platform and brand new organizational structure, and is the only core platform for this round of angel round financing, overall business operation and future listing structure planning. All newly added financing funds, AI hardware assets, robot businesses and offline physical business forms are independently undertaken and operated by this new entity.

The project adopts a four-layer isolated entity architecture for top-level design. The complete architecture scheme has been planned and completed, which adapts to the long-term development needs in the later stage such as capitalization, equity compliance, business spin-off and listing compliance in advance, and lays a standardized architecture foundation for the large-scale expansion of enterprises and the connection with the capital market.

In terms of industrial resources, the co-founding team of Shengma Digital comes from the "Wanxiang Lease" of Shenzhen Quyizu Network Technology Co., Ltd. The new platform can fully reuse the operation system, full-link risk control model, supply chain channels and practical experience in asset disposal that have been verified by the market in the past of this entity, to provide mature industrial experience support for the development of new businesses.

In terms of business implementation, Shengma Digital has completed the planning of the complete business scheme for the offline digital service experience center. Different from the asset-light model of pure online leasing platforms, the planned physical experience center will undertake functions such as hardware display, robot scenario demonstration, enterprise customized scheme connection, after-sales performance service and on-site customer verification, aiming to solve the industry implementation problems of AI intelligent hardware and embodied robots that "cannot be seen online, cannot be trusted when implemented, and are difficult to simulate in scenarios".

Relying on the two-way linkage between the online digital system and the offline physical center, Shengma Digital builds a comprehensive asset leasing pool covering 3C digital products, AI computing power hardware, AR intelligent devices and embodied intelligent robots. Through the use right economic model, it converts the large fixed asset procurement cost of enterprises into a light-weight, installment-available and iterable digital service cost, which adapts to multiple scenarios such as government and enterprise exhibition halls, commercial performances, scientific and technological innovation pilots, store digital upgrading, and enterprise computing power deployment.

Supported by a senior interdisciplinary team, the standardized compliance system drives large-scale implementation

The core team of Shengma Digital has deep roots in multiple fields including leasing operation, asset risk control, judicial legal affairs and industrial implementation, and possesses complete industry practical experience and compliance operation capabilities.

Ma Haiqing, Founder and CEO, is the IP manager of the industrial researcher of "Zushang Lun". He has long been deeply engaged in the 3C digital leasing and AI hardware use right economy track, and has capabilities in industrial research and judgment, strategic architecture, capital planning and full-link resource integration, fully leading the overall strategy, business form upgrading and capitalization path construction of the platform.

Wang Chuntao, Co-founder, has been deeply engaged in the 3C digital leasing track for many years. Relying on the mature system of Quyizu, he has accumulated complete practical experience in supply chain, business operation and market implementation, and is responsible for the large-scale expansion of platform business and the construction of supply chain system.

Kang Kai, Co-founder, focuses on the construction of asset risk control system in the leasing industry, is proficient in the whole process system including leasing customer access, asset control, overdue disposal and risk hedging, and is responsible for platform asset safety and risk control model iteration to ensure the stable operation of a large number of intelligent hardware assets.

De Gaojie, Co-founder, has 20 years of judicial practice experience and a background as a senior practicing lawyer. He is deeply engaged in commercial compliance, equity architecture, investment and financing risk control, and enterprise listing compliance system construction, and is fully responsible for the construction of corporate legal compliance, entity architecture compliance, investment and financing legal risk control, and standardized governance system, providing underlying legal guarantee for the capitalization and large-scale operation of the platform.

At the present stage, the top-level architecture scheme of the project and the business scheme of the offline digital service experience center have been planned. Relying on the mature industrial experience accumulated by the team in the past, the business implementation will be launched after the capital injection of this round. This round plans to raise 50 million yuan of angel round funds, which are mainly used for the expansion of offline digital service centers, the laying of AI hardware and embodied robot asset pools, the iteration of digital systems, the expansion of market channels and the construction of core teams, to continuously improve the new DaaS leasing business form of "online platform + offline entity + intelligent hardware asset operation", and seize the window period for large-scale development of the AI hardware use right economy track.