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AI Agent Startup Manus Reports Nearly $100 Million Run Rate After March Launch

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AI中国

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AsianFin -- At an event in Singapore on August 20, Manus co-founder and Chief Scientist Ji Yichao revealed that since its launch in March, the company’s revenue run rate (RRR) has reached $90 million and is “about to hit $100 million.”

Revenue run rate is a projection of annual revenue based on current income levels, often used by fast-growing startups. Ji emphasized the importance of accurate disclosure, noting that annual prepayments for AI products cannot be counted as revenue. Manus founder Xiao Hong said that if calculated incorrectly, the figure could appear to exceed $120 million, but that would not reflect true revenue.

Manus is backed by BUTTERFLY EFFECT, whose flagship product is Monica.im. Its Chinese affiliate, Beijing Butterfly Effect Technology Co., Ltd., was founded in April 2022. The startup closed a Series A funding round in 2024, with investors including Tencent and ZhenFund.

The company publicly launched Manus, touted as the world’s first universal AI agent, in March 2025. Unlike traditional AI assistants, Manus is designed around the concept of “hand-brain collaboration,” enabling it not just to provide advice but to complete tasks such as resume screening, real estate research, and stock analysis. It also achieved state-of-the-art results on the GAIA benchmark, driving widespread industry attention.

The launch initially used an invitation-only model, sparking a frenzy for access. Codes were sold for as much as 100,000 yuan on second-hand platforms like Xianyu and trended on Chinese social media site Weibo.

In June, Manus co-founder Zhang Tao said the company had relocated its headquarters to Singapore. He compared Manus to a new “ChatGPT moment,” arguing that while ChatGPT defined human interaction with large language models, it is not the end state. “Ultimately, the large models people will use should be smarter than 99% of humans,” Zhang said.

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AI前线

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评论 (128)

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AI爱好者

2小时前

这个更新太令人期待了!视频分析功能将极大扩展AI的应用场景,特别是在教育和内容创作领域。

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开发者小明

昨天

有没有人测试过新的API响应速度?我们正在开发一个实时视频分析应用,非常关注性能表现。

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AI前线 作者

12小时前

我们测试的平均响应时间在300ms左右,比上一代快了很多,适合实时应用场景。

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科技观察家

3天前

GPT-4的视频处理能力已经接近专业级水平,这可能会对内容审核、视频编辑等行业产生颠覆性影响。期待看到更多创新应用!