Generative video is the single hottest AI application category of 2026, and the money proves it. Kling AI has raised roughly $2.8 billion at an ~$18 billion valuation. TwelveLabs closed a $100 million Series B for video understanding. Tripo AI pulled in $150 million for AI-generated 3D models. And Higgsfield is reportedly in talks to quadruple its valuation to $5 billion after revenue quadrupled alongside it. Four companies, four different corners of the "AI sees and makes video" stack — and four signs that this is where a huge slice of application-layer AI capital is landing.
Here's the roundup.
| Company | Amount | Valuation | Focus |
|---|---|---|---|
| Kling AI (Kuaishou) | ~$2.8B | ~$18B post-money | AI video generation (China) |
| Higgsfield | $300M–$500M (reported, unclosed) | ~$5B (reportedly) | AI video generation |
| Tripo AI | $150M (Series A3) | Undisclosed | AI 3D-model generation |
| TwelveLabs | $100M (Series B) | Undisclosed | Video understanding / search |
Kling AI — ~$2.8B at ~$18B valuation
Kling AI, the generative video model built by Chinese tech giant Kuaishou, has become the best-funded company in this entire category. At roughly $2.8 billion raised and an ~$18 billion post-money valuation, it's now priced closer to a mature infrastructure company than an early-stage AI app. Kling has been one of the fastest-improving video models globally, competing directly with OpenAI's Sora and Runway on output quality while benefiting from Kuaishou's massive short-video distribution and user base as a built-in go-to-market channel. Full breakdown: Kling AI funding.
Higgsfield — reportedly eyeing a $5B valuation
Higgsfield, an AI video startup founded by former Snap generative-AI lead Alex Mashrabov, is reportedly in talks to raise $300 million to $500 million at a valuation of roughly $5 billion — about four times where it was priced at the start of 2026. The company has said its annualized revenue run rate hit approximately $500 million in mid-2026, up from about $200 million at the end of 2025, and that it's cash-flow positive. Nothing here is confirmed until the round closes — terms can still change — but the reported numbers alone explain why investors are circling: a video AI startup claiming real, quadrupling revenue is rare enough to command a premium. Track it as it develops on the AI Funding Tracker.
Tripo AI — $150M Series A3 for AI-generated 3D models
Tripo AI closed a $150 million Series A3, betting that the next wave of generative content isn't just video — it's 3D. Tripo generates 3D models from text or image prompts, targeting game development, product visualization, and e-commerce, where producing 3D assets by hand is slow and expensive. The round size — large for a Series A, even with the "A3" label signaling multiple extensions — shows investors treating 3D generation as a sibling category to video, not an afterthought. Full breakdown: Tripo AI funding.
TwelveLabs — $100M Series B for "video superintelligence"
Not every well-funded video AI company generates video — some make sense of the video that already exists. TwelveLabs raised a $100 million Series B, co-led by NEA and NAVER, to build what it calls "video superintelligence": models that can search, summarize, and reason over massive video libraries the way large language models handle text. That's a fundamentally different bet than Kling or Higgsfield — the market isn't people making new videos, it's every company sitting on unsearchable archives of footage, security video, and media content. Full breakdown: TwelveLabs funding.
Why AI video is attracting so much capital
Four rounds, four different sub-markets, one underlying story: video is the most information-dense, most expensive-to-produce media format, and AI just made it cheap. A few forces are compounding at once.
The compute-to-output ratio finally works. Video generation was the last major modality to become commercially viable because it requires vastly more compute per output than text or images. Diffusion and transformer architectures matured enough in 2025–2026 that quality jumped while costs fell — the same dynamic that made image generation investable in 2023 is now repeating for video, at a much larger addressable market (film, ads, social content, gaming).
Distribution matters as much as model quality. Kling's edge isn't purely technical — it's Kuaishou's built-in audience of short-video consumers. That's a reminder that in this category, owning demand can be as valuable as owning the best model.
The market is fragmenting by use case, not consolidating. Rather than one company winning "AI video," capital is spreading across generation (Kling, Higgsfield), understanding and search (TwelveLabs), and adjacent modalities like 3D (Tripo). That fragmentation is itself a bullish signal — investors see multiple durable businesses, not a winner-take-all race.
Revenue is starting to show up, not just usage. Higgsfield's reported jump to a ~$500M revenue run rate is the detail that matters most. Generative AI funding in 2023–2024 was largely underwritten by usage growth and model benchmarks. In 2026, the biggest rounds increasingly need real revenue to back them up — and video is one of the few application categories where that revenue is materializing fast enough to justify multi-billion-dollar valuations.
For a wider view of how this quarter's biggest AI rounds compare across categories, see the biggest AI funding rounds of 2026.
Following AI funding? Wortins tracks the biggest raises, valuations, and acquisitions daily in the AI Funding Tracker.