Key Takeaways
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- Manus, a Chinese-founded AI company now based in Singapore, announced an annual revenue run rate of $90 million, nearing the $100 million benchmark.
- The revenue run rate is calculated by annualizing the past 30 days’ subscription fees, with tiered plans ranging from $19 to $199 per month.
- ZhenFund partner Liu Yuan noted AI-native applications like Manus reach revenue milestones much faster than traditional SaaS companies, which typically take 3-5 years.
- Manus gained attention in March for its autonomous AI agents that perform tasks such as resume screening, trip planning, and stock analysis, claiming superior performance to OpenAI’s Deep Research.
- The company secured $75 million in funding earlier this year, boosting its valuation to nearly $500 million.
- Manus recently launched a feature enabling broad research via multiple AI agents working in tandem and is expanding its team in Singapore.
- Competitors like Anysphere (Cursor) and Lovable have also surpassed $100 million in annualized sales, highlighting rapid monetization in AI tools.
- Manus does not currently operate in China but has attracted significant investor interest globally.
What’s Happening?
Manus is rapidly scaling its AI-powered SaaS business, leveraging autonomous AI agents to deliver productivity tools that have quickly gained market traction. Its fast revenue growth exemplifies the accelerating pace at which AI-native companies are monetizing compared to traditional software firms.
Why Does It Matter?
The rapid monetization of AI-native applications like Manus signals a shift in the software industry, with AI-driven tools becoming mainstream faster than expected. This growth challenges established players and highlights the competitive dynamics in the AI race, especially between U.S. and Chinese-founded firms.
What’s Next?
Manus plans to expand its product capabilities and workforce in Singapore, aiming to sustain growth and compete with other AI startups. The company’s progress will be a key indicator of the viability and scalability of autonomous AI agents in commercial applications.
