Breizh Up

Total investments

24

Average round size

9M

Portfolio companies

18

Lead investments

1

Follow on index

0.25

Areas of investment
Information TechnologyArtificial IntelligenceHealth CareAerospaceManufacturingCyber SecurityNetwork SecurityTelecommunicationsAgricultureMachinery Manufacturing

Summary

The high activity for fund was in 2017. The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 1 - 5 millions dollars are the general things for fund.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Hoppen. We can highlight the next thriving fund investment areas, such as Real Time, Medical.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Breizh Up, startups are often financed by Starquest Capital, 3T Capital. The meaningful sponsors for the fund in investment in the same round are Unexo, Starquest Capital, Nestadio Capital.

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Investments analytics

Analytics

Total investments
24
Lead investments
1
Follow on index
0.25
Investments by industry
  • Aerospace (3)
  • Manufacturing (3)
  • Agriculture (3)
  • Telecommunications (2)
  • Information Technology (2)
  • Show 26 more
Investments by region
  • France (23)
  • United Kingdom (1)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
85K
Group Appearance index
0.96

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
BitPoster 04 Sep 2014 Marketplace, Advertising, Auctions Seed 1M England, London, United Kingdom
HappyWait 04 Nov 2019 Manufacturing Seed 1M United Kingdom, Wales, United Kingdom
SEEDERAL Technologies 25 Apr 2024 Manufacturing, Machinery Manufacturing Early Stage Venture 8M Grand Est, Lorraine, France
Timbers 15 Aug 2017 Real Estate Seed 10M United States, Ohio, Columbus
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.