Key facts
- PixVerse raised $439 million in a Series C extension round.
- The company's valuation has exceeded $2 billion.
- PixVerse offers AI video generation models for consumers, professionals, and game development.
- Its consumer product has over 150 million registered users.
- The startup plans to expand its global enterprise outreach and hire more staff.
Singapore-based video generation startup PixVerse has secured $439 million in a Series C extension funding round, propelling its valuation to over $2 billion. The company, founded in 2023 by former ByteDance computer vision expert Wang Changhu and ex-investment executive Jaden Xie, aims to leverage this capital to expand its world model offerings and reach a global customer base.
PixVerse provides a suite of video generation models, including the V-Series for consumers and API use, the C-Series for professional workflows, and the R-Series world models for game development. Its consumer product boasts over 150 million registered users and 15 million monthly active users, with image-to-video generation priced competitively at $4.80 per minute.
Co-founder Jaden Xie highlighted PixVerse's core strength in data labeling, drawing on Changhu's experience at ByteDance in developing TikTok's visual understanding technology. Xie believes the company is well-positioned in a market with few high-quality video generation providers, seeing equal opportunity in both consumer and enterprise sectors.
The company plans to enhance its global enterprise outreach, with an existing deal with investor Alibaba. Future product developments include a new V-series model and an updated world model. PixVerse, which has offices in Singapore, Beijing, and Shanghai, intends to use the new funding to hire additional researchers and go-to-market personnel.
The AI video generation market is increasingly competitive, with players like ByteDance, Tencent, Midjourney, Runway, and Luma also active in the space. Several startups, including those founded by Lann YeCunn and Fei Fei Li, are focused on developing world models.