Mayflower

Total investments

3

Average round size

16M

Portfolio companies

3

Lead investments

1

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologyInternetSoftwareFinTechSaaSMedicalTherapeuticsCryptocurrencyBlockchainSearch Engine

Summary

The leading representative office of defined VC is situated in the Boston. The fund was located in North America if to be more exact in United States.

The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the Mayflower, startups are often financed by Gimv, Excalibur Fund Managers, Atlas Venture. The meaningful sponsors for the fund in investment in the same round are Versant Ventures, Triginta Capital, SV Health Investors.

Among the various public portfolio startups of the fund, we may underline Neurotech, IXX.com We can highlight the next thriving fund investment areas, such as Cryptocurrency, Biotechnology. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. For fund there is no match between the country of its foundation and the country of its the most frequent investments - China.

Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2019.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Investments by industry
  • Medical (1)
  • Therapeutics (1)
  • Biotechnology (1)
  • Software (1)
  • Internet (1)
  • Show 5 more
Investments by region
  • United States (1)
  • Germany (1)
  • China (1)
Peak activity year
2006

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Quantitative data

Avg. startup age at the time of investment
13
Group Appearance index
0.67

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Ryte 11 Jan 2021 Internet, Software, SaaS, Search Engine Early Stage Venture 10M Munich, Bavaria, Germany

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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.