Total investments

5

Average round size

1M

Portfolio companies

2

Lead investments

1

Follow on index

0.60

Areas of investment
SoftwareInformation TechnologySaaSProductivity ToolsEnterprise SoftwareSecurityBlockchainLegal TechIdentity ManagementE-Signature

Summary

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Cuatrecasas Ventures, startups are often financed by Randstad Innovation Fund, Caixa Capital Risc. The meaningful sponsors for the fund in investment in the same round are Randstad Innovation Fund, Caixa Capital Risc, Telegraph Hill Capital. In the next rounds fund is usually obtained by Randstad Innovation Fund, Caixa Capital Risc, Blockchers.

Among the most popular portfolio startups of the fund, we may highlight Validated ID. Among the most popular fund investment industries, there are Document Preparation, Security. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

The fund is generally included in 2-6 deals every year. The real fund results show that this VC is 5 percentage points more often commits exit comparing to other companies. The top activity for fund was in 2019. The common things for fund are deals in the range of 1 - 5 millions dollars.

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Investments analytics

Analytics

Total investments
5
Lead investments
1
Follow on index
0.60
Investments by industry
  • E-Signature (5)
  • Productivity Tools (5)
  • Identity Management (3)
  • Software (3)
  • SaaS (3)
  • Show 8 more
Investments by region
  • Spain (5)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
0.80

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Bigle Legal 07 Oct 2021 Document Management, Productivity Tools, Enterprise Software, Legal, E-Signature, Document Preparation Seed 2M Barcelona, Catalonia, Spain
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.