Dassault Developpement

Total investments

2

Average round size

18M

Portfolio companies

2

Lead investments

1

Exits

2

Stages of investment
Early Stage Venture
Areas of investment
SoftwareMachine LearningManufacturingTelecommunicationsOptical Communication

Summary

The fund was located in Europe if to be more exact in France. The main office of represented VC is situated in the Paris.

Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular fund investment industries, there are Apps, Mobile. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Intalio.

The standard case for the fund is to invest in rounds with 5 partakers. The meaningful sponsors for the fund in investment in the same round are XML Fund, Sippl MacDonald Ventures, O'Reilly. In the next rounds fund is usually obtained by Woodside Fund, 3i Group, XML Fund.

Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in less than 2 investment rounds annually. The increased amount of exits for fund were in 2015. The high activity for fund was in 2000.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
2
Investments by industry
  • Software (1)
  • Machine Learning (1)
  • Telecommunications (1)
  • Manufacturing (1)
  • Optical Communication (1)
Investments by region
  • France (2)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
22
Group Appearance index
1.00
Avg. company exit year
8

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Algety Telecom 27 Mar 2000 Manufacturing, Telecommunications, Optical Communication Early Stage Venture 31M France, Brittany

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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.