Cunchao Tu
涂存超
Cunchao Tu is the founder of PowerLaw AI (幂律智能), a legal-tech startup applying large language models to contract review and legal document processing . In a 2023 interview with 甲子光年, he described how the company shifted from a traditional "knowledge structuring → data labeling → model training" pipeline to using chatbot-based information extraction, a change he said eliminated the costly and time-consuming data annotation step . Linear Capital, an early backer, noted in late 2023 that PowerLaw AI's MeFlow product had raised nearly RMB 80 million in a Pre-B round, with the firm continuing its participation .
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Coverage
Multiple portfolio companies of Linear Capital saw their founders named to *Fortune* China's "40 Under 40 Business Elites" list.
In mid-August, *Fortune* magazine released its 2024 "40 Under 40 China" list. Among the honorees were the founders and CEOs of several Linear Capital portfolio companies: Xie Chen of Douxiang Technology, Tu Cunchao of MeFlow, Ding Ye of Yrobot, Ye Shengxuan of Whale, and Hou Jiechao of Yibai Capital.
Linear Capital early-stage portfolio company **MeFlow** has raised nearly RMB 80 million in a Pre-B funding round, with existing investor Linear Capital continuing to participate.
Continued Leadership in Legal LLM Application and Deployment
BlueRun Ventures | BlueRun Ventures Leads PowerLaw AI's Nearly RMB 80 Million Pre-B Round
Continuously exploring the boundaries of large language model capabilities and new legal service models
Why "Copy to China" Is Hard to Replicate, and Where China's LLM Opportunity Lies
Recently, Bai Zeren, Senior Investment Director at Linear Capital, sat down with *Jazzyear* to share his views on the entrepreneurial opportunities brought by ChatGPT. When it comes to the domestic market for large language model startups, Linear Capital remains optimistic. "While the engineering detours and challenges will take time to work through, the probability of Chinese companies producing something with 80% of ChatGPT's capabilities within two to three years is quite high — even if surpassing what OpenAI has already built will be difficult."
