Group8

Total investments

1

Average round size

35M

Portfolio companies

1

Areas of investment
TransportationInformation TechnologyRoboticsAutonomous VehiclesImage RecognitionElectric Vehicle

Summary

The high activity for fund was in 2016. The higher amount of exits for fund were in 2018. The fund is constantly included in less than 2 investment rounds annually. The average startup value when the investment from Group8 is 100-500 millions dollars. Deals in the range of 10 - 50 millions dollars are the general things for fund.

Among the most popular portfolio startups of the fund, we may highlight NAVYA. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Transportation, Robotics.

The typical case for the fund is to invest in rounds with 5 participants. Despite the Group8, startups are often financed by Orkos Capital, CapDecisif, Gravitation. The meaningful sponsors for the fund in investment in the same round are Valeo, Keolis, CapDecisif. In the next rounds fund is usually obtained by European Investment Bank (EIB).

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Image Recognition (1)
  • Electric Vehicle (1)
  • Autonomous Vehicles (1)
  • Information Technology (1)
  • Transportation (1)
  • Show 1 more
Investments by region
  • France (1)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
219M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
NAVYA 10 Oct 2016 Transportation, Information Technology, Robotics, Autonomous Vehicles, Image Recognition, Electric Vehicle Early Stage Venture 35M Ile-de-France, Paris, France
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.