Tongfang Venture Capital
5
3M
5
2
3
- Areas of investment
Summary
The main office of represented VC is situated in the Beijing. The venture was found in Asia in China.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - China. Among the most popular portfolio startups of the fund, we may highlight KUBO. Among the most popular fund investment industries, there are Space Travel, Artificial Intelligence. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.
The usual cause for the fund is to invest in rounds with 1-2 partakers. The meaningful sponsors for the fund in investment in the same round are BEST Logistics Technology.
The top activity for fund was in 2018. The fund is constantly included in less than 2 investment rounds annually. The common things for fund are deals in the range of 1 - 5 millions dollars.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 2
- Exits
- 3
- Investments by industry
- Manufacturing (1)
- Space Travel (1)
- Transportation (1)
- Consumer Goods (1)
- E-Commerce (1) Show 9 more
- Investments by region
-
- China (5)
- Peak activity year
- 2016
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
- 10
- Avg. valuation at time of investment
- 989K
- Group Appearance index
- 0.80
- Avg. company exit year
- 7
- Avg. multiplicator
- 0.27
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 |
|---|---|---|---|---|---|
| KUBO | 08 Aug 2018 | Artificial Intelligence, Robotics | Early Stage Venture | 2M | Hebei, Dongguan, China |
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.