On August 31, 2026, Weimob officially launched "Weimob Xingchuang-WIMO," a comprehensive AI creative engine designed for all scenarios. WIMO consolidates fragmented AI capabilities across text, images, audio, and video into a standardized, full-chain industrial pipeline. Through multi-agent collaboration, diverse business workflow integration, and proprietary industry know-how digital assets, it delivers a closed-loop AI production system—from initial concept to final video output—for commercial advertising, film and animation, social content, and general video production. Users only need to input a creative direction or marketing goal, and the system automatically handles strategy derivation, script generation, storyboard design, asset rendering, and final output.

WIMO has already integrated leading multimodal large models such as Seedance 2.5, MiniMax H3, and HappyHorse. This integration has led to significant leaps in both content production efficiency and business delivery capabilities. During its beta phase, WIMO successfully produced over 1.2 million images and nearly 90,000 videos, consuming more than 30 billion tokens. Weimob clarifies that WIMO is not just another "AI video generation tool" but a full-chain operating system for intelligent content production. It marks a shift in Weimob's "AI First" strategy from delivering single-point tools to providing scalable, complete productivity. With continued penetration into high-frequency, high-consumption scenarios like video, the logic for token consumption growth now has a clear technical and scenario-based foundation. Weimob's AI revenue engine is evolving from "tool subscriptions" to a "token consumption" driven model.

Multimodal Models Supercharge Commercial Creation Efficiency, WIMO Redefines Content Productivity

WIMO's underlying architecture integrates a matrix of multimodal models. For instance, flagship models like Seedance 2.5 and MiniMax H3 handle primary visual generation. Users can input various assets—images, audio, and video—and the system manages camera movement, demonstrating high stability in motion consistency and semantic adherence. The Doubao large language model serves as the Agent core, responsible for understanding user intent, refining script frameworks, and generating copy. The Agent supports canvas control, enabling multi-node creation and reference derivation. It also encapsulates over 30 skills across e-commerce, marketing, posters, and video, allowing users to quickly create outputs.

Based on this multimodal matrix, WIMO delivers quantifiable improvements in three dimensions. In terms of image quality, the system natively supports high-resolution output, meeting the clarity requirements for advertising and film delivery. For physical realism, the models show enhanced generation capabilities for complex, multi-subject scenes. Regarding narrative continuity, the system maintains consistency in characters, costumes, and scenes across long storyboard sequences, making AI-assisted production of long-form content like animation dramas feasible.

While the multimodal matrix acts as the "productivity" engine, WIMO's core highlight, "Templates," provides the embedded "sense of direction" and "commercial judgment." These templates are not merely filter-style presets but storyboard asset packages embedded with business experience. Weimob's senior editing and operations teams dissected thousands of high-conversion cases from sectors like beauty, apparel, home goods, and food, extracting effective storyboard structures, proven copy pacing, and editing logic tailored to different platform recommendation algorithms. They then solidified these elements into standardized templates. In essence, each template carries the empirical judgment of what kind of content is more likely to perform well for a specific industry and product type on a given platform.

The combined impact of these capabilities points to systematic efficiency gains. For business merchants, WIMO automates the batch generation of multiple short-video variations by simply inputting product selling points and brand visual guidelines. Each version complies with the advertising rules of different platforms, compressing what previously took days of collaborative effort across planning, editing, and placement roles into just a few hours. For film and animation creators, WIMO's asset library allows them to accumulate character designs, scene elements, and copy styles, ensuring visual and narrative consistency across episodes. This solves common issues of visual fragmentation and style drift in long-form IP scale production, making AI video truly viable for industrial content creation. For individual entrepreneurs and general users, WIMO offers a one-stop experience from idea to final product, enabling a single person to handle a workflow that typically requires a small team, freeing creative expression from technical constraints.

These three user groups cover the spectrum from B-end merchants to C-end creators. The underlying logic supporting this tiered capability is unified: encoding the marketing insights Weimob has accumulated in e-commerce retail, beauty and fashion, and food and fresh produce into AI-callable template assets ensures generated content carries clear conversion goals from the very first frame.

Capital Accelerates into AI Content Production, Weimob Leverages Million-Merchant Ecosystem for Differentiated Positioning

WIMO's structured production capability with "embedded commercial logic in templates" is seen as a critical step in moving AI content from technology to commercial application. This market potential is being validated by both capital and industry. According to Guangfa Securities estimates, revenue in the AI video model segment alone could reach $7.7 billion in 2026 and potentially $82.7 billion by 2030. When including all-modal content production like text, images, and audio, the overall market is even more substantial. In e-commerce, AI-generated product images, detail page copy, and voice-over scripts are already integrated into daily operations. On social media, the share of AI-assisted graphic posts and short videos is steadily increasing. In brand marketing, AI is covering every content creation stage, from poster design to TVC scripts.

The capital market is quick to respond to this trend. Since 2026, several leading companies in AI multimodal content production have completed large funding rounds. These investments span different areas like visual generation, multimodal understanding, and creative workflows, but all point to a core judgment: AI content production is moving from the "technical validation phase" to the "commercial scaling phase." As generation quality crosses the commercial viability line, capital focus shifts from "model parameters" to "speed of commercialization."

In this industry cycle, Weimob's positioning shows clear differentiation. In terms of scenario depth, WIMO leverages Weimob's business foundation serving a million merchants across e-commerce retail, footwear and fashion, supermarkets and fresh food, and commercial real estate. Its deep integration within the Tencent ecosystem, along with expansion on platforms like Meituan, Kuaishou, and Xiaohongshu, provides natural commercial landing scenarios and a solid customer base. On the conversion barrier of industry know-how, Weimob packages its experience serving thousands of retail brands into standardized, independently callable templates. This ability to transform "industry knowledge" into "executable assets" is a competitive moat that pure tool products relying solely on large model APIs would find difficult to replicate.

Furthermore, WIMO rounds out Weimob's "AI First" strategy layout. As a key product under this strategy, WIMO joins Weimob's AI-native application product matrix alongside Xingyuan, Xingshu, and Xingqi GEO. The capital market has also given positive feedback on Weimob's positioning. On August 18, 2026, Weimob Group announced its interim results. During the reporting period, Weimob's total revenue reached RMB 869 million, a 12.1% increase year-over-year. Adjusted EBITA was RMB 56 million, and adjusted net profit was RMB 5 million, continuing its profitability trend. The AI application business was the core growth engine, with AI application revenue hitting RMB 133 million, already surpassing the full year 2025, marking a significant breakthrough. Guoyuan Securities noted that Weimob's AI strategy has evolved from feature stacking to AI-native reconstruction, transforming the company from a traditional SaaS tool provider into an AI-native operating system. This shift warrants a valuation re-rating. Guoyuan gives a "Buy" rating with a target price of HKD 1.61, based on 4x PS for the subscription solutions business, 5x PE for merchant solutions, and 10x PS for the AI business. The report suggests the market may not yet fully appreciate Weimob's AI business progress and its impact on the company's fundamentals. As AI-native application products commercialize and AI revenue scales further, market expectations are likely to adjust upward.