Total investments

7

Average round size

777K

Portfolio companies

7

Rounds per year

0.27

Lead investments

3

Exits

4

Areas of investment
E-CommerceInternetSoftwareSaaSEnterprise SoftwareSecurityContentMarketingAdvertisingSEO

Summary

In 1997 was created IREP, which is appeared as Corporate Investor.

Among the most popular fund investment industries, there are Enterprise Software, Internet. Among the most popular portfolio startups of the fund, we may highlight Bukalapak. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the IREP, startups are often financed by Nippon Venture Capital, GREE Ventures, Batavia Incubator. The meaningful sponsors for the fund in investment in the same round are Mizuho Capital, aucfan Co.,Ltd., Orix Capital Corporation. In the next rounds fund is usually obtained by Draper Nexus Ventures, Nippon Venture Capital, Emtek Group.

The top activity for fund was in 2014. Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
7
Lead investments
3
Exits
4
Rounds per year
0.27
Investments by industry
  • Internet (3)
  • Advertising (3)
  • E-Commerce (2)
  • Software (2)
  • SEO (1)
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Investments by region
  • Japan (6)
  • Indonesia (1)
Peak activity year
2014
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
357M
Group Appearance index
0.57
Avg. company exit year
2
Strategy success index
0.20

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Spes 02 Oct 2023 Software, Service Industry, Cloud Security Seed Tokyo, Kantō, Japan
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.