Total investments

2

Average round size

30M

Portfolio companies

2

Areas of investment
AutomotiveTransportationSoftwareRoboticsMarketingTask ManagementFleet Management

Summary

The main department of described Corporate Investor is located in the Nagoya. The company was established in Asia in Japan.

The standard case for the fund is to invest in rounds with 10 partakers. Despite the OKAYA & CO., startups are often financed by Volvo Group Venture Capital, UPS Strategic Enterprise Fund, Sand Hill Angels. The meaningful sponsors for the fund in investment in the same round are Volvo Group Venture Capital, UPS Strategic Enterprise Fund, Schlumberger.

Among the most popular portfolio startups of the fund, we may highlight Peloton Technology. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Automotive, Robotics.

The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 50 - 100 millions dollars. The top activity for fund was in 2017.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Marketing (1)
  • Task Management (1)
  • Software (1)
  • Automotive (1)
  • Transportation (1)
  • Show 2 more
Investments by region
  • United States (1)
  • Japan (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
10
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Peloton Technology 05 Apr 2017 Automotive, Transportation, Robotics, Fleet Management Early Stage Venture 60M United States, California, Mountain View
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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.