123 Investment Managers

Total investments

18

Average round size

10M

Portfolio companies

13

Lead investments

2

Follow on index

0.28

Exits

1

Areas of investment
E-CommerceRetaileSportsManufacturingSportsTravelMedia and EntertainmentTourismLeisureEyewear

Summary

Comparing to the other companies, this 123 Investment Managers performs on 15 percentage points less the average number of lead investments. The fund is constantly included in 2-6 investment rounds annually. The top activity for fund was in 2017. Deals in the range of 1 - 5 millions dollars are the general things for fund. Speaking about the real fund results, this VC is 6 percentage points less often commits exit comparing to other organizations.

The typical case for the fund is to invest in rounds with 2-3 participants. Despite the 123 Investment Managers, startups are often financed by Partech, Wilco, Vincent GALLOT. The meaningful sponsors for the fund in investment in the same round are Via ID, UL Invest, Sigma Gestion. In the next rounds fund is usually obtained by Idinvest Partners, Breega Capital.

Among the most popular portfolio startups of the fund, we may highlight LeCiseau. We can highlight the next thriving fund investment areas, such as Tourism, Consumer. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.

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Investments analytics

Analytics

Total investments
18
Lead investments
2
Exits
1
Follow on index
0.28
Investments by industry
  • Sports (5)
  • Retail (4)
  • Eyewear (4)
  • Media and Entertainment (3)
  • E-Commerce (2)
  • Show 23 more
Investments by region
  • France (17)
  • United Kingdom (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
0.72
Avg. company exit year
11

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Climbing District 30 Jan 2024 Early Stage Venture 11M 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.