Sijia Jianxin Fund

Total investments

1

Average round size

28M

Portfolio companies

1

Lead investments

1

Areas of investment
BiotechnologyPharmaceuticalEmergency Medicine

Summary

Among the most popular fund investment industries, there are Emergency Medicine, Pharmaceutical. Among the most popular portfolio startups of the fund, we may highlight AnchorDx. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.

The important activity for fund was in 2017. The fund is constantly included in less than 2 investment rounds annually. The common things for fund are deals in the range of 10 - 50 millions dollars.

The standard case for the fund is to invest in rounds with 6 partakers. Despite the Sijia Jianxin Fund, startups are often financed by Northern Light Venture Capital, Marathon Venture Partners. The meaningful sponsors for the fund in investment in the same round are WuXi AppTec, Marathon Venture Partners, KingMed Diagnostics.

Show more

Investments analytics

Analytics

Total investments
1
Lead investments
1
Investments by industry
  • Biotechnology (1)
  • Emergency Medicine (1)
  • Pharmaceutical (1)
Investments by region
  • China (1)
Peak activity year
2017

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
6
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
AnchorDx 07 Nov 2017 Biotechnology, Pharmaceutical, Emergency Medicine Early Stage Venture 28M China, Guangdong Province, Yuexiu District
How we get our data

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.