OpenOcean

Type

Venture Capital

Status

Active

Location

Helsinki, Finland

Total investments

83

Average round size

12M

Portfolio companies

46

Rounds per year

5.53

Lead investments

22

Follow on index

0.45

Exits

3

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceInternetSoftwareAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig Data

Summary

OpenOcean appeared to be the VC, which was created in 2011. The leading representative office of defined VC is situated in the Helsinki. The company was established in Europe in Finland.

When the investment is from OpenOcean the average startup value is 100-500 millions dollars. Comparing to the other companies, this OpenOcean performs on 25 percentage points less the average number of lead investments. The usual things for fund are deals in the range of 5 - 10 millions dollars. The top activity for fund was in 2014. The higher amount of exits for fund were in 2019. The fund is constantly included in 2-6 deals per year. The real fund results show that this VC is 15 percentage points more often commits exit comparing to other companies.

The fund was created by Patrik Backman. Besides them, we counted 10 critical employees of this fund in our database.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the OpenOcean, startups are often financed by Wellington Partners, Piton Capital, Louis Monier. The meaningful sponsors for the fund in investment in the same round are Tesi, Wellington Partners, Earlybird Venture Capital. In the next rounds fund is usually obtained by Tesi, Wellington Partners, Piton Capital.

We can highlight the next thriving fund investment areas, such as Mobile, SaaS. Among the various public portfolio startups of the fund, we may underline Booksy, MariaDB Corporation, Oppex For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

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Investor highlights

Industry focus
B2B/EnterpriseAI/Big DataDeveloper ToolsFuture of WorkCloud/Infrastructure Show 2 more
Stage focus
Series ASeed
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 36 more
Check size
1M — 7M

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Investments analytics

Last fund

Fund size
EUR 92000000
Fund raised date
2021-02-09

Analytics

Total investments
83
Lead investments
22
Exits
3
Rounds per year
5.53
Follow on index
0.45
Investments by industry
  • Software (43)
  • Big Data (17)
  • Analytics (16)
  • Information Technology (16)
  • SaaS (14)
  • Show 89 more
Investments by region
  • Finland (27)
  • United States (21)
  • Hungary (4)
  • Germany (7)
  • Sweden (3)
  • Show 7 more
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
25M
Group Appearance index
0.89
Avg. company exit year
7

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Droppe 18 Jun 2024 Wholesale, E-Commerce, Marketplace Seed 4M Southern Finland, Helsinki, Finland
LatticeFlow 26 Oct 2022 Artificial Intelligence Early Stage Venture 12M Switzerland, Zurich, Zurich

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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.