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Rabina Properties

Total investments

1

Average round size

80M

Portfolio companies

1

Areas of investment
InternetCollaborationCommunitiesConstructionCoworkingHospitalityInterior Design

Summary

Among the most popular fund investment industries, there are Hospitality, Interior Design. Among the various public portfolio startups of the fund, we may underline Industrious Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

The usual cause for the fund is to invest in rounds with 8 partakers. Despite the Rabina Properties, startups are often financed by Riverwood Capital, Outlook Ventures, MapleWood Partners. The meaningful sponsors for the fund in investment in the same round are Wells Fargo Strategic Capital, Inc., Schechter Private Capital, Sandy Cass. In the next rounds fund is usually obtained by Wells Fargo Strategic Capital, Inc., TF Cornerstone, Riverwood Capital.

The top activity for fund was in 2018. The common things for fund are deals in the range of 50 - 100 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Collaboration (1)
  • Internet (1)
  • Interior Design (1)
  • Hospitality (1)
  • Coworking (1)
  • Show 2 more
Investments by region
  • United States (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
400M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Industrious 27 Feb 2018 Internet, Collaboration, Communities, Construction, Coworking, Hospitality, Interior Design Late Stage Venture 80M United States, New York, New York
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.