Apogee Venture Group

Total investments

1

Average round size

10M

Portfolio companies

1

Lead investments

1

Exits

1

Stages of investment
Venture
Areas of investment
MobileCloud InfrastructureWireless

Summary

The company was established in North America in United States. The leading representative office of defined VC is situated in the Burlingame.

The top amount of exits for fund were in 2014. The top activity for fund was in 2013. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year.

The typical case for the fund is to invest in rounds with 2 participants. Despite the Apogee Venture Group, startups are often financed by Northern Light Venture Capital, New Enterprise Associates, Lightspeed Venture Partners. The meaningful sponsors for the fund in investment in the same round are Big Basin Partners.

Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Wireless, Mobile. Among the various public portfolio startups of the fund, we may underline Aerohive Networks For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

Besides them, we counted 2 critical employees of this fund in our database.

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Exits
1
Investments by industry
  • Wireless (1)
  • Mobile (1)
  • Cloud Infrastructure (1)
Investments by region
  • United States (1)
Peak activity year
2013

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Quantitative data

Avg. startup age at the time of investment
15
Avg. valuation at time of investment
272M
Group Appearance index
1.00
Avg. company exit year
13
Avg. multiplicator
2.59

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Latest deals

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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.