FMR

Total investments

2

Average round size

28M

Portfolio companies

2

Rounds per year

0.04

Areas of investment
SoftwareAnalyticsBuilding MaterialCleanTechCryptocurrencyBlockchain

Summary

FMR appeared to be the Corporate Investor, which was created in 1974. The company was established in Asia in Israel. The main department of described Corporate Investor is located in the Tel Aviv.

The standard case for the fund is to invest in rounds with 10 partakers. Despite the FMR, startups are often financed by True Ventures, The Chernin Group, Resolute Ventures. The meaningful sponsors for the fund in investment in the same round are True Ventures, Galaxy Investment Partners, Founder Collective. In the next rounds fund is usually obtained by Nick Ducoff.

The usual things for fund are deals in the range of 5 - 10 millions dollars. The top activity for fund was in 2019. The fund is constantly included in less than 2 deals per year.

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular fund investment industries, there are Blockchain, Cryptocurrency. For fund there is no match between the location of its establishment and the land of its numerous investments - United States. Among the various public portfolio startups of the fund, we may underline Flipside Crypto

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.04
Investments by industry
  • Software (1)
  • Cryptocurrency (1)
  • Analytics (1)
  • Blockchain (1)
  • Building Material (1)
  • Show 1 more
Investments by region
  • United States (2)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Flipside Crypto 24 Sep 2019 Software, Analytics, Cryptocurrency, Blockchain Seed 7M United States, Massachusetts, Boston
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.