Shengshu Technology Secures Hundreds of Millions in New Funding, Vidu Leads the Multimodal AI Race

Shengshu Technology Secures Hundreds of Millions in New Funding, Vidu Leads the Multimodal AI Race

Published:September 19, 2025
Reading Time:2 min read

Want to read in a language you're more familiar with?

ShengShu Technology raises an undisclosed Series A (~$30–$125M) to scale Vidu multimodal AI, as ARR tops ~$20M and generated videos surpass 400M worldwide.

China’s multimodal AI startup Shengshu Technology said it has closed an A round worth “several hundred million yuan,” without disclosing an exact figure. At today’s exchange rates, that phrase typically implies roughly $30–$140 million. The round was led by Bohua Capital, with follow-on participation from Baidu Strategic Investment, the Beijing AI Industry Investment Fund, Qiming Venture Partners, DT Capital, Zoyuan Asia, and BV Baidu Ventures; C&D Emerging Investment also joined.

vidu ecosystem.png CEO Dr. Luo Yihang said commercialization of multimodal generation is accelerating and will “reshape” digital-content production over the next three years. Proceeds will fund model R&D and product expansion, bolster user services and industry partnerships, and support global go-to-market efforts.

Shengshu said its Vidu products now serve users in 200+ countries and regions, with more than 400 million videos generated to date; over 100 million of those were created via its “reference-guided” core feature, and commercial content accounts for over 50% of output—evidence, the company argues, that Vidu is being used in production settings. The startup also disclosed annual recurring revenue (ARR) above $20 million eight months after launch.

Vidu Q1 On September 9, Shengshu released Vidu Q1, a reference-image model that supports up to seven input images—pushing domestic limits on multi-image guidance—and aims to improve multi-subject consistency and high-fidelity rendering for images. Shengshu says Vidu now covers image, video and audio generation and plans another model update “soon.”