--- title: "PixVerse maker Aishi banks $414M C round as Alibaba bets on AI video" date: 2026-10-08 category: Capital & Markets site: NeuroAI canonical: https://neuroai.site/a/na-capital-aishi-pixdance-alibaba-round language: en --- # PixVerse maker Aishi banks $414M C round as Alibaba bets on AI video > The studio behind PixVerse (拍我AI) has closed a RMB 2.98 billion C round led by Alibaba, the clearest sign yet that China's largest cloud vendor is buying into the AI-video creative pipeline rather than just building models. A short text prompt now spins a 1080p clip faster than a designer can open their editing suite. The studio behind PixVerse (拍我AI) just convinced Alibaba to open its wallet a second time, and this time the check was enormous. China's AI-video race is shifting from "who has the flashiest model" to "who owns the creative pipeline." ## The round at a glance Aishi Technology (爱诗科技) announced a **C round of RMB 2.98 billion (about $414 million / HK$3.23 billion)** in July 2026. The final C+ tranche was led by **Alibaba (阿里巴巴)**, with a wide syndicate behind it: Lollapalooza Capital (王慧文's family office), Ivy Capital (常春藤资本), BlueFocus (蓝色光标), Korea's Mirae Asset, OCBC's Lion X fund, iGlobe Partners, and others. Context matters. Alibaba had already led Aishi's **$60 million B round in September 2025**, and the company says its financing across the first half of 2026 totaled roughly **RMB 2.5 billion**. The latest round lifts Aishi's valuation to around **RMB 10.5 billion (about $1.46 billion / HK$11.4 billion)**, comfortably inside the upper tier of China's generative-video independents. A few details worth pinning down: - The raise was described by domestic outlets as the largest single financing in Asia's AI-video generation segment to that point. - Proceeds are earmarked for the underlying video foundation model, a real-time *world model* (世界模型), global product growth, and industry-scenario deployment. - Aishi is not a one-product shop: its PixVerse serves global users while "拍我AI" targets the Chinese market. ## Why video, and why this team Founder **Wang Changhu (王长虎)** ran visual technology at ByteDance (字节跳动), where he helped stand up the AI behind Douyin and TikTok. That lineage shows in the product metrics the company publishes: - **PixVerse reaches users in 177 countries**, with global registered users reportedly above **100 million** and monthly actives above **16 million**. - Early in 2026 it shipped **PixVerse R1**, which it positions as the first general real-time world model supporting 1080p generation. - On the independent *Artificial Analysis* leaderboard, PixVerse V6 has ranked **second in both image-to-video and text-to-video**, with generation speed the company claims is the fastest in the field. None of that is trivial. A Chinese lab holding a top-two global slot in video generation — and doing it with a consumer product that has crossed 100 million users — is the kind of proof point that turns a funding story into a platform story. ## Alibaba's "binding" strategy, not a passive stake Alibaba's repeat investment fits a pattern. The cloud giant has been spreading bets across China's video-model labs, including Kuaishou's Kling (可灵), rather than building a single in-house winner. The logic is commercial, not patriotic: Alibaba runs the e-commerce and advertising workflows where AI video is most directly monetizable, and owning upstream model supply lowers the cost of creatives for its merchants. This is what local analysts call a **"binding investment" (绑定式投资)** — capital tied to a strategic relationship — as opposed to a purely financial position. For Aishi, the upside is distribution and compute; for Alibaba, it is a seat at the table wherever short-form and ad video gets generated over the next three years. ## The model economics and the risk The open question is whether audience scale converts into durable revenue. AI-video usage is exploding, but per-user monetization remains thin, and the field is crowded with well-funded rivals from Kling (可灵) to Jimeng (即梦) to open-weight entrants. Aishi's edge is claimed to be cost: Wang has argued publicly that building comparable quality at a fraction of rivals' spend is the only real moat for a startup swimming among giants. That claim is plausible but unproven at scale. Large model (大模型) makers across China share the same blunt arithmetic — valuations have run far ahead of revenue, and video generation has not yet shown the enterprise pull that inference APIs demonstrated for language models. ## What readers can do now - **Track API adoption, not just MAU.** For AI-video labs, paying developers and enterprise contracts matter more than registered-user headlines. - **Watch Alibaba's compute tie-ins.** If Aishi's models get default placement in Alibaba Cloud (阿里云) tooling, that distribution is worth more than the cash. - **Compare cost-per-second.** The winning video lab will likely be the one that makes a clip cheap enough for small merchants, not the one with the best demo reel. ## Honest limitations The financing size, lead investor, and valuation are drawn from Chinese financial reporting (Shanghai Science and Technology Innovation Board Daily / 科创板日报, and Dahe Caijing / 大河财立方), which cite the company's announcement. No Western wire (Reuters/Bloomberg) independently confirmed the figures at the time of writing. RMB-to-USD/HKD conversions use an approximate 7.2 RMB-per-dollar rate. User and ranking numbers come from the company and the *Artificial Analysis* public leaderboard; we have not audited Aishi's revenue or ARR, and "largest in Asia" superlatives reflect domestic press framing rather than a verified cross-border comparison. --- Published by NeuroAI (https://neuroai.site/) — https://neuroai.site/a/na-capital-aishi-pixdance-alibaba-round Free to quote with attribution and a link to the original.