Serena

Type

Venture Capital

Status

Active

Location

Paris, France

Total investments

133

Average round size

20M

Portfolio companies

84

Rounds per year

8.31

Lead investments

40

Follow on index

0.37

Exits

13

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
InternetSoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceMachine LearningHealth CareSaaSEnterprise Software

Summary

In 2008 was created Serena, which is appeared as VC. The main department of described VC is located in the Paris. The fund was located in Europe if to be more exact in France.

The average startup value when the investment from Serena is 10-50 millions dollars. The important activity for fund was in 2019. Deals in the range of 5 - 10 millions dollars are the general things for fund. The real fund results show that this VC is 18 percentage points more often commits exit comparing to other companies. The fund is constantly included in 7-12 investment rounds annually. The increased amount of exits for fund were in 2016. Opposing the other organizations, this Serena works on 17 percentage points less the average amount of lead investments.

Besides them, we counted 7 critical employees of this fund in our database.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Serena, startups are often financed by Isai, Wilco, Partech. The meaningful sponsors for the fund in investment in the same round are Bpifrance, Partech, Isai. In the next rounds fund is usually obtained by Partech, Idinvest Partners, Bpifrance.

We can highlight the next thriving fund investment areas, such as Analytics, SaaS. For fund there is a match between the country of its foundation and the country of its the most frequent investments - France. Among the most popular portfolio startups of the fund, we may highlight Launchmetrics, WorldStores, FINALCAD. The fund has no exact preference in some founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.

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Investor highlights

Industry generalist
Yes
Industry focus
GeneralistDeep TechB2B/EnterpriseEcommerceMedia/Content Show 9 more
Stage focus
Series APre-SeedSeed
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 38 more
Check size
109K — 16M

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Investments analytics

Analytics

Total investments
133
Lead investments
40
Exits
13
Rounds per year
8.31
Follow on index
0.37
Investments by industry
  • Software (32)
  • SaaS (24)
  • Information Technology (23)
  • Artificial Intelligence (21)
  • Internet (19)
  • Show 161 more
Investments by region
  • France (100)
  • United States (20)
  • Belgium (3)
  • United Kingdom (2)
  • Switzerland (4)
  • Show 1 more
Peak activity year
2021
Number of Unicorns
2
Number of Decacorns
2
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
10
Avg. valuation at time of investment
76M
Group Appearance index
0.83
Avg. company exit year
11
Avg. multiplicator
0.42
Strategy success index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Kotzilla 20 May 2024 Seed 2M Midi-Pyrenees, Toulouse, France
May 02 May 2022 Health Care, Personal Health, Women's, Child Care Seed 3M Ile-de-France, Paris, France

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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.