Kling AI Surpasses $100 Million Revenue Run Rate in First Year

Jun 9, 2025
Kuaishou Technology's Kling AI has achieved an annualized revenue run rate exceeding $100 million within ten months of its launch, as announced in a press release.

Kuaishou Technology announced that its AI video generation model, Kling AI, has achieved an annualized revenue run rate surpassing $100 million in March 2025, just ten months after its launch. In a press release, the company highlighted that Kling AI's monthly subscription bookings exceeded RMB100 million in both April and May.

Kling AI, which launched in June 2024, has undergone over 20 iterations, with the latest being the Kling AI 2.1 model series. This series offers both Standard (720p) and High Quality (1080p) modes, designed for cost-effective and efficient content generation. The premium Master Edition of Kling AI 2.1 provides enhanced motion performance and semantic responsiveness.

Kling AI provides membership subscription services to prosumers and API services to over 10,000 corporate clients across various industries, including content creation, advertising, and game production. The company aims to continue its focus on technological innovation and expand its application scenarios globally.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.