Sony Electronics

Total investments

2

Average round size

5M

Portfolio companies

2

Rounds per year

0.03

Lead investments

1

Areas of investment
Health CarePhoto EditingPhotographyDigital Entertainment

Summary

The fund was located in North America if to be more exact in United States. The main office of represented Corporate Investor is situated in the San Diego.

The typical case for the fund is to invest in rounds with 4 participants. The meaningful sponsors for the fund in investment in the same round are Southeast Interactive Technology Funds, CIT Group, Barnard & Co. In the next rounds fund is usually obtained by Dai Nippon Printing, Altech Co..

For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Pixel Magic Imaging. 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 Photography, Photo Editing.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2001. The fund is generally included in less than 2 deals every year.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.03
Investments by industry
  • Digital Entertainment (1)
  • Photography (1)
  • Photo Editing (1)
  • Health Care (1)
Investments by region
  • United States (2)
Peak activity year
2001

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Quantitative data

Avg. startup age at the time of investment
50
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Pixel Magic Imaging 05 Mar 2001 Photo Editing, Photography, Digital Entertainment Early Stage Venture 10M United States, Texas
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.