BrightPoint

Total investments

2

Average round size

17M

Portfolio companies

2

Rounds per year

0.06

Lead investments

1

Exits

1

Areas of investment
B2BInformation ServicesHardwareWeb HostingAgriculture

Summary

In 1989 was created BrightPoint, which is appeared as Corporate Investor. The leading representative office of defined Corporate Investor is situated in the Indianapolis. The company was established in North America in United States.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 11-15 years to get the investment from the fund. Among the most successful fund investment fields, there are Agriculture, B2B. Among the most popular portfolio startups of the fund, we may highlight Spensa Technologies, Aeneid Corporation.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the BrightPoint, startups are often financed by Winfield Capital Corp, VilCap Investments. The meaningful sponsors for the fund in investment in the same round are mTerra Ventures, Winstar, Village Capital.

The increased amount of exits for fund were in 2018. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 10 - 50 millions dollars. The important activity for fund was in 2000.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
1
Rounds per year
0.06
Investments by industry
  • Information Services (1)
  • Agriculture (1)
  • Hardware (1)
  • B2B (1)
  • Web Hosting (1)
Investments by region
  • United States (2)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
29
Group Appearance index
1.00
Avg. company exit year
9

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Spensa Technologies 09 Nov 2015 Information Services, Hardware, Agriculture Early Stage Venture 2M United States, Indiana
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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.