RK Properties

Total investments

1

Average round size

43M

Portfolio companies

1

Rounds per year

0.02

Lead investments

1

Exits

1

Areas of investment
CoworkingVirtual WorkforceSharing EconomyFacility Management

Summary

The usual cause for the fund is to invest in rounds with 2 partakers. Despite the RK Properties, startups are often financed by Qianhai Wutong Mergers and Acquisitions Funds, Jingrong Holdings, ContextLabs. The meaningful sponsors for the fund in investment in the same round are Jingrong Holdings. In the next rounds fund is usually obtained by CEC Capital Management LLC, All-Stars Investment.

The high activity for fund was in 2018. The fund is generally included in less than 2 deals every year. When the investment is from RK Properties the average startup value is more than 1 billion dollars. Deals in the range of 10 - 50 millions dollars are the general things for fund.

Among the most successful fund investment fields, there are Sharing Economy, Coworking. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight UCommune.

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Exits
1
Rounds per year
0.02
Investments by industry
  • Coworking (1)
  • Virtual Workforce (1)
  • Sharing Economy (1)
  • Facility Management (1)
Investments by region
  • China (1)
Peak activity year
2018
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
769M
Group Appearance index
1.00
Avg. company exit year
5
Avg. multiplicator
0.99
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Ucommune 14 Aug 2018 Coworking, Virtual Workforce, Sharing Economy, Facility Management Late Stage Venture 43M China, Beijing
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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.