Video-generation startup PixVerse raises $439M, valuation soars past $2B 35%

By Ivan Mehta39%

7/13/2026, 5:00:00 PM

BS Summary: This article contains 23 faulty reasoning types, including Ambiguity (Equivocation), Hasty Generalization, and Optimism Bias, with Attempt to Sell a Product or Service as the most egregious example at 26% saturation with 158 hits. Analysis detected 1,034 faulty-reasoning hits from 608 analyzed words, generating a BS Score of 42.6% and a BS Rank of 35% (14,245 of 21,887 articles). This article is better (less manipulative) than 65.10% of the article peer group.

Singapore-based video-generation startup PixVerse said today that it has closed its Series C extension, with a total of $439 million raised in the round. 
The company told TechCrunch that, with the new tranche of funding, its valuation has crossed over $2 billion. 
With the cash, the company aims to expand its world model offering and reach customers across geographies. 
The company closed its initial Series C round in March, led by CDH Investments. 
While it didn’t disclose the funding amount, Bloomberg reported it to be in the range of $300 million. 
PixVerse said that investors in the extension round include Alibaba, Lollapalooza Capital, Ivy Capital, Grand Mount Capital, Eastern Bell Capital, Mirae Asset, BlueFocus, and CloudAlpha, joining returning investors iGlobe Partners and OCBC’s Lion X Ventures. 
The company was founded by Wang Changhu and Jaden Xie in 2023. 
Changhu previously worked at ByteDance on computer vision, and Xie was an executive director at investment firm Lighthouse Capital. 
PixVerse offers multiple models, including a V-Series video model for consumer and API use, a C-Series video model for professional film and commercial workflows, and an R-Series of world models for game development and world building, which was released earlier this year. 
Through its tool, users can generate videos in up to 4k resolution with audio baked in. 
The startup said that its consumer product has over 150 million registered users and over 15 million monthly active users. 
The company declined to specify how many of them are paying users but it offers a competitive rate of $4.80 per minute of generation for image-to-video. 
PixVerse believes that despite the huge opportunity for video generation to succeed, only a few companies are making progress in the market. 
“OpenAI exited the business when they shut down Sora 2. 
Other companies like Meta and Tencent are not able to create high-quality video models. 
So there are only a few companies that can meet the quality bar,” he told TechCrunch. 
He said that there is equal opportunity in the consumer and enterprise markets as users are creating videos for fun and also consuming short video content made with AI, while enterprises are using video generation for creative, learning, and marketing use cases. 
However, saying that the startup’s model produces a “high-quality” output is hardly a unique qualifier. 
Xie mentioned that its core strength lies in labeling. 
“We think the key difference is not in data, but how you label it, because data is available everywhere. 
My co-founder worked at ByteDance, where he built core visual understanding technology behind TikTok using AI. 
Using this tech, TikTok was able to label data accurately and build a strong recommendation algorithm. 
This experience comes in handy when building a video-generation platform,” Xie said. 
The company has big ambitions this year. 
It wants to expand its enterprise outreach across the globe. 
The startup already has a deal with its investor Alibaba to deploy the video-generation features. 
In terms of product rollout, it plans to launch a new V-Series model for video generation and release a new version of its world model this year. 
It has 150 employees across offices in Singapore, Beijing, and Shanghai. 
With the new funding, PixVerse aims to hire more researchers and people in go-to-market function. 
Despite its confidence in its own models and products, the video market is heating up. 
There are players like ByteDance with its Seedance model, former Tencent AI head Dr. 
Wei Liu’s Video Rebirth, and Kling AI from Asia. 
In the West, there are competitors like Midjourney, Runway, and Luma. 
Multiple companies, including Yann LeCun’s and Fei-Fei Li’s startups, are building world models. 
Article reasoning-pattern comparisonThis article: 10.4%Ivan Mehta: 2.0%TechCrunch: 3.0%Confirmation Bias10.4%This article: 3.0%Ivan Mehta: 1.3%TechCrunch: 1.4%Anchoring Bias3.0%This article: 7.7%Ivan Mehta: 3.3%TechCrunch: 3.5%Availability Heuristic7.7%This article: 0.0%Ivan Mehta: 0.5%TechCrunch: 1.1%Representativeness Heuristic0.0%This article: 0.0%Ivan Mehta: 0.4%TechCrunch: 0.6%Hindsight Bias0.0%This article: 10.0%Ivan Mehta: 2.8%TechCrunch: 2.5%Overconfidence Bias10.0%This article: 4.3%Ivan Mehta: 4.1%TechCrunch: 4.8%Framing Effect4.3%This article: 0.0%Ivan Mehta: 0.3%TechCrunch: 0.6%Loss Aversion0.0%This article: 0.0%Ivan Mehta: 0.5%TechCrunch: 0.6%Status Quo Bias0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 14.0%Ivan Mehta: 5.9%TechCrunch: 4.9%Optimism Bias14.0%This article: 2.5%Ivan Mehta: 1.2%TechCrunch: 1.3%Pessimism Bias2.5%This article: 4.8%Ivan Mehta: 3.1%TechCrunch: 5.0%Negativity Bias4.8%This article: 3.5%Ivan Mehta: 3.5%TechCrunch: 2.1%Self-Serving Bias3.5%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Ivan Mehta: 0.3%TechCrunch: 0.6%In-Group Bias0.0%This article: 0.0%Ivan Mehta: 0.2%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 13.5%Ivan Mehta: 4.4%TechCrunch: 3.5%Halo Effect13.5%This article: 0.0%Ivan Mehta: 0.1%TechCrunch: 0.1%Horn Effect0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Ivan Mehta: 0.9%TechCrunch: 2.3%Recency Bias0.0%This article: 0.0%Ivan Mehta: 0.2%TechCrunch: 0.3%Primacy Effect0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Blind-Spot Bias0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.3%Ad Hominem0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.6%Straw Man0.0%This article: 12.0%Ivan Mehta: 4.5%TechCrunch: 4.4%Appeal to Authority12.0%This article: 2.3%Ivan Mehta: 0.8%TechCrunch: 1.7%False Dilemma2.3%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.7%Slippery Slope0.0%This article: 0.0%Ivan Mehta: 0.1%TechCrunch: 0.2%Circular Reasoning0.0%This article: 14.6%Ivan Mehta: 6.4%TechCrunch: 6.0%Hasty Generalization14.6%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.2%Red Herring0.0%This article: 0.0%Ivan Mehta: 2.4%TechCrunch: 1.1%Bandwagon0.0%This article: 0.0%Ivan Mehta: 0.7%TechCrunch: 2.2%Appeal to Emotion0.0%This article: 3.1%Ivan Mehta: 0.7%TechCrunch: 0.6%Begging the Question3.1%This article: 8.9%Ivan Mehta: 2.5%TechCrunch: 2.9%Post Hoc (False Cause)8.9%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Tu Quoque0.0%This article: 2.6%Ivan Mehta: 0.7%TechCrunch: 0.5%Burden of Proof2.6%This article: 0.0%Ivan Mehta: 0.2%TechCrunch: 0.2%Appeal to Nature0.0%This article: 2.1%Ivan Mehta: 0.2%TechCrunch: 0.3%Composition/Division2.1%This article: 2.6%Ivan Mehta: 0.9%TechCrunch: 2.4%Anecdotal2.6%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%No True Scotsman0.0%This article: 15.0%Ivan Mehta: 1.9%TechCrunch: 2.0%Ambiguity (Equivocation)15.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Ivan Mehta: 0.2%TechCrunch: 0.2%Middle Ground0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.0%Personal Incredulity0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Special Pleading0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 1.6%Ivan Mehta: 1.7%TechCrunch: 2.0%Unattributed Quote1.6%This article: 1.6%Ivan Mehta: 0.4%TechCrunch: 0.7%Quote-first Misdirection1.6%This article: 3.9%Ivan Mehta: 1.4%TechCrunch: 4.6%Biased Writer Voice3.9%This article: 0.0%Ivan Mehta: 0.3%TechCrunch: 0.8%Indoctrination0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Ivan Mehta: 0.0%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 26.0%Ivan Mehta: 7.6%TechCrunch: 4.9%Attempt to Sell a Product or S…26.0%

608 words analyzed.

Speakers

2speakers48%attributed speech317writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coveragePixVerse • 24 words • 0.0% coveragePixVerse • 18 words • 0.0% coveragePixVerse • 17 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 18 words • 0.0% coveragePixVerse • 35 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 19 words • 0.0% coveragePixVerse • 42 words • 100.0% coverageWriter's voice • 16 words • 100.0% coveragePixVerse • 20 words • 100.0% coveragePixVerse • 26 words • 100.0% coveragePixVerse • 22 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageJaden Xie • 9 words • 0.0% coverageJaden Xie • 19 words • 0.0% coverageJaden Xie • 16 words • 0.0% coverageJaden Xie • 16 words • 0.0% coverageJaden Xie • 12 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 11 words • 0.0% coveragePixVerse • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverage
Selected voice

Jaden Xie

100%flagged-word coverage
72 attributed words25% of attributed speech84% writer coverage
0%10.0%20.0%Attempt to Sell a Product -16.7 ptsWriter: 16.7%Jaden Xie: 0.0%0.0%Biased Writer Voice-7.6 ptsWriter: 7.6%Jaden Xie: 0.0%0.0%Unattributed Quote-3.2 ptsWriter: 3.2%Jaden Xie: 0.0%0.0%Quote-first Misdirection-3.2 ptsWriter: 3.2%Jaden Xie: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.