Dahu Aquaculture
2
119M
2
0.09
- Areas of investment
Summary
The main office of represented Corporate Investor is situated in the Changde. The company was established in Asia in China.
The high activity for fund was in 2015. The usual things for fund are deals in the range of more than 100 millions dollars. The fund is constantly included in less than 2 investment rounds annually.
Among the most popular portfolio startups of the fund, we may highlight Baihe. Among the most successful fund investment fields, there are Social Media, Dating. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - China.
The usual cause for the fund is to invest in rounds with 2 partakers. Despite the Dahu Aquaculture, startups are often financed by GSR Ventures, Zero2IPO Capital, New Enterprise Associates. The meaningful sponsors for the fund in investment in the same round are Shengda Mining Company.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Rounds per year
- 0.09
- Investments by industry
- Education (1)
- Child Care (1)
- Information Technology (1)
- Social/Platform Software (1)
- Internet (1) Show 2 more
- Investments by region
-
- China (2)
- Peak activity year
- 2015
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 19
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Qbaobei.com | 27 Feb 2015 | Information Technology, Education, Child Care | Seed | 6M | China, Beijing, Changping District |
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.