Baicizhan

Total investments

1

Average round size

23M

Portfolio companies

1

Rounds per year

0.11

Areas of investment
InternetE-LearningArtificial IntelligenceTrainingEducationBig DataComputer

Summary

In 2012 was created Baicizhan, which is appeared as Corporate Investor. The company was established in Asia in China. The main office of represented Corporate Investor is situated in the Chengdu.

The standard case for the fund is to invest in rounds with 6 partakers. Despite the Baicizhan, startups are often financed by Sequoia Capital China, Matrix Partners China. The meaningful sponsors for the fund in investment in the same round are Sequoia Capital China, SAIF Partners, New Oriental Education & Technology.

Among the most popular portfolio startups of the fund, we may highlight Xigua City. Among the most successful fund investment fields, there are Education, E-Learning. For fund there is a match between the country of its foundation and the country of its the most frequent investments - China. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.

The high activity for fund was in 2019. Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.11
Investments by industry
  • Education (1)
  • Internet (1)
  • Big Data (1)
  • Artificial Intelligence (1)
  • Training (1)
  • Show 2 more
Investments by region
  • China (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Xigua City 29 Aug 2019 Internet, E-Learning, Artificial Intelligence, Training, Education, Big Data, Computer Early Stage Venture 23M China, Zhejiang, Shangcheng District
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At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.