Avançsa

Total investments

15

Average round size

4M

Portfolio companies

14

Lead investments

6

Follow on index

0.07

Areas of investment
BiotechnologySoftwareInformation TechnologyArtificial IntelligenceMedical DeviceSecurityElectronicsEnergyEnergy EfficiencyClean Energy

Summary

The usual cause for the fund is to invest in rounds with 1-2 partakers. Despite the Avanu00e7sa, startups are often financed by Faraday Venture Partners, Vy Capital, Peroxfarma. The meaningful sponsors for the fund in investment in the same round are VICTORIA Venture Capital SCR-Pyme S.A., NEOTEC, H2020-SME-Instrument program. In the next rounds fund is usually obtained by Inderhab Investments, Finaves S.C.R..

Among the most popular portfolio startups of the fund, we may highlight Scytl, Talent Clue, Devicare. Among the most successful fund investment fields, there are Medical Device, Family. The fund has no exact preference in a number of founders of portfolio startups. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

The common things for fund are deals in the range of 5 - 10 millions dollars. The high activity for fund was in 2018. The fund is constantly included in 2-6 investment rounds annually.

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Investments analytics

Analytics

Total investments
15
Lead investments
6
Follow on index
0.07
Investments by industry
  • Clean Energy (3)
  • Information Technology (3)
  • Software (2)
  • Energy Efficiency (2)
  • Energy (2)
  • Show 32 more
Investments by region
  • Spain (15)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
22
Avg. valuation at time of investment
143K
Group Appearance index
0.33

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
WIVI Vision 19 Feb 2024 Early Stage Venture 4M Pais Vasco, Bilbao, Spain
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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.