Total investments

60

Average round size

10M

Portfolio companies

58

Rounds per year

6.00

Lead investments

5

Follow on index

0.03

Exits

3

Areas of investment
AutomotiveE-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyManufacturingHardwareConsulting

Investments analytics

Analytics

Total investments
60
Lead investments
5
Exits
3
Rounds per year
6.00
Follow on index
0.03
Investments by industry
  • Information Technology (12)
  • Hardware (9)
  • Software (8)
  • Financial Services (7)
  • Manufacturing (7)
  • Show 90 more
Investments by region
  • China (60)
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
8
Avg. valuation at time of investment
22M
Group Appearance index
0.60
Avg. company exit year
8
Avg. multiplicator
5.00
Strategy success index
0.50

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
Dongbaohui 31 May 2024 Seed Shandong, Pudong, China
Heigo 25 Apr 2018 Transportation, Mobile Payments, Travel Seed 463K Beijing, Beijing, China
Omni Prime 12 Apr 2016 Software, Financial Services, FinTech Late Stage Venture 46M Shanghai, China
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.