Business Investors Group (BiG)

Total investments

2

Average round size

1M

Portfolio companies

1

Rounds per year

0.08

Follow on index

0.50

Stages of investment
Seed
Areas of investment
InternetSoftwareSaaSEnterprise SoftwareMarketingMusicVideoAdvertisingDigital Media

Summary

In 1997 was created Business Investors Group (BiG), which is appeared as VC.

The standard case for the fund is to invest in rounds with 2 partakers. Despite the Business Investors Group (BiG), startups are often financed by Northstar Ventures. The meaningful sponsors for the fund in investment in the same round are Northstar Ventures. In the next rounds fund is usually obtained by Northstar Ventures, New England Clean Energy Council.

The fund is constantly included in less than 2 investment rounds annually. The high activity for fund was in 2008. The usual things for fund are deals in the range of 1 - 5 millions dollars.

Among the most popular fund investment industries, there are SaaS, Music. Among the most popular portfolio startups of the fund, we may highlight Quick TV. Moreover, a startup needs to be at the age of 1 and less years to get the investment from the fund.

We also calculated 2 valuable employees in our database.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.08
Follow on index
0.50
Investments by industry
  • Video (2)
  • SaaS (2)
  • Music (2)
  • Marketing (2)
  • Software (2)
  • Show 4 more
Investments by region
  • United Kingdom (2)
Peak activity year
2007

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Quantitative data

Avg. startup age at the time of investment
14
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Quick TV 01 Nov 2007 Internet, Software, SaaS, Enterprise Software, Marketing, Music, Video, Advertising, Digital Media Seed 1M United Kingdom, England, Newcastle upon Tyne

Similar funds

By same location

By same geo focus

By doing lead investments

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.