InVideo AI vs Kuaishou

Kuaishou has a disclosed valuation of $36B, while InVideo AI's valuation is not publicly available, making a direct size comparison difficult. Kuaishou employs 10000+ people.

Kuaishou has raised more in total funding at $5B, compared to InVideo AI's $52M — a gap of $4.9B. Combined, the two companies have completed 4 known funding rounds.

Kuaishou leads with an Awaira Score of 84/100, while InVideo AI sits at 65/100. That 19-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

InVideo AI was founded by Sanket Shah in 2019. Kuaishou was founded by Su Hua in 2011. Visit each company's profile on Awaira for a full founder biography.

InVideo AI: InVideo AI develops an AI-powered video generation and editing platform that enables users to create professional-quality videos from text prompts, scripts, and existing media assets with minimal manual editing effort. The platform generates complete videos including scene selection, narration, music, and captions from text descriptions, and supports team collaboration on video projects at scale.\n\nThe company raised approximately 52 million USD and has built a user base exceeding 7 million creators and businesses globally, with strong adoption in India, the United States, and Southeast Asia. InVideo serves a broad market from individual content creators to marketing teams at enterprises who need high-volume video output without proportional increases in production headcount.\n\nAI-generated video is transitioning from novelty to production workflow tool as the quality of AI-generated scenes, narration synthesis, and automated editing reaches commercial viability thresholds. InVideo competes with Runway, Pictory, Synthesia, and a growing field of AI video tools, occupying the text-to-video for marketing and creator use cases rather than the cinematic or synthetic media segments targeted by more technically complex competitors. Kuaishou: Kuaishou operates a short video and live streaming platform that uses AI recommendation systems to serve personalised content to over 600 million monthly active users in China, competing directly with ByteDance Douyin for Chinese short video market share. The Beijing company has developed significant generative AI capabilities through its Kling AI video generation model, which produces high-quality video from text and image prompts and competes with Runway, Sora, and other text-to-video AI systems.\n\nPublicly listed on the Hong Kong Stock Exchange under ticker 1024, Kuaishou raised over $5 billion in combined venture and public funding, holding a market capitalisation of approximately $15 billion. The company generates revenue primarily from live streaming gifting, advertising, and e-commerce integrated into its video platform, with AI recommendation systems that personalise the content feed representing the core technical infrastructure for user engagement and advertiser targeting.\n\nKuaishou competes with Douyin domestically in the short video platform market and has expanded internationally through Kwai, its international platform operating in Latin America and Southeast Asia. The company Kling video generation model has received significant attention from the global AI research community for its quality and temporal consistency, positioning Kuaishou as a technical contributor to generative video AI beyond its core recommendation and platform businesses. Investment in AI content generation tools enables Kuaishou to provide creator productivity features that reduce friction for content production on its platform.

Kuaishou got there first, launching in 2011 — that's 8 years of extra runway. InVideo AI didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

InVideo AI has about 200-500 employees; Kuaishou has about 10000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both InVideo AI and Kuaishou compete in AI Video, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.