Active Venture Partners

Type

Venture Capital

Status

Active

Location

Barcelona, Spain

Total investments

44

Average round size

4M

Portfolio companies

23

Rounds per year

2.20

Lead investments

14

Follow on index

0.48

Exits

10

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareInformation TechnologySaaSSearch EngineShoppingE-Commerce PlatformsAuctionsArt

Summary

Active Venture Partners appeared to be the VC, which was created in 2004. The main department of described VC is located in the Barcelona. The fund was located in Europe if to be more exact in Spain.

This organization was formed by Christopher Pommerening, Philipp Schroeder, Ricard Su00f6derberg. Besides them, we counted 3 critical employees of this fund in our database.

The fund has no exact preference in some founders of portfolio startups. In case when startup counts 4 of the founder, the chance for it to get the investment is meager. For fund there is a match between the location of its establishment and the land of its numerous investments - Spain. We can highlight the next thriving fund investment areas, such as SaaS, E-Commerce. Among the most popular portfolio startups of the fund, we may highlight Adjust, Polymita Technologies, Traity. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.

The typical case for the fund is to invest in rounds with 2-3 participants. Despite the Active Venture Partners, startups are often financed by BDMI, Industrifonden, Cabiedes & Partners. The meaningful sponsors for the fund in investment in the same round are Industrifonden, Cipio Partners, Target Partners. In the next rounds fund is usually obtained by Industrifonden, BDMI, Northzone.

When the investment is from Active Venture Partners the average startup value is 10-50 millions dollars. Comparing to the other companies, this Active Venture Partners performs on 6 percentage points less the average number of lead investments. The increased amount of exits for fund were in 2017. The fund is constantly included in 2-6 investment rounds annually. Considering the real fund results, this VC is 25 percentage points more often commits exit comparing to other organizations. Deals in the range of 1 - 5 millions dollars are the general things for fund. The top activity for fund was in 2014. Despite it in 2019 the fund had an activity.

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Investor highlights

Industry focus
Proptech/Real EstateManufacturingAgricultureMobilityConsumer/Retail Show 2 more
Stage focus
Series ASeries B
Geo focus
AlbaniaAndorraAustriaBelgiumBosnia and Herzegovina Show 39 more

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Investments analytics

Analytics

Total investments
44
Lead investments
14
Exits
10
Rounds per year
2.20
Follow on index
0.48
Investments by industry
  • E-Commerce (17)
  • Software (16)
  • Internet (12)
  • Information Technology (10)
  • SaaS (8)
  • Show 58 more
Investments by region
  • Spain (21)
  • United States (9)
  • Sweden (7)
  • Chile (3)
  • Germany (3)
  • Show 1 more
Peak activity year
2014
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
13
Avg. valuation at time of investment
96M
Group Appearance index
0.66
Avg. company exit year
8
Avg. multiplicator
3.72
Strategy success index
0.40

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Adjust 08 Sep 2014 Internet, Software, Information Technology, Mobile, Marketing Automation, Apps, App Marketing, Affiliate Marketing Late Stage Venture 7M Berlin, Germany
BuyVIP 05 Mar 2007 E-Commerce, Marketing, Shopping Seed 2M Community of Madrid, Madrid, Spain
ONOMA AI 01 May 2022 Information Technology, Recruiting, Artificial Intelligence Seed 435K Seoul, Seoul-t'ukpyolsi, South Korea
Quicklegal 16 Feb 2016 E-Commerce, Software, Mobile, Legal Seed United States, California, Sacramento

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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.