F2 Ventures

Type

Other

Status

Active

Location

Tel Aviv, Israel

Total investments

26

Average round size

88M

Portfolio companies

15

Rounds per year

1.18

Lead investments

3

Follow on index

0.42

Exits

6

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
BiotechnologySoftwareHealth CareHealth DiagnosticsMedical DeviceMedicalPharmaceuticalTherapeuticsBiopharmaClinical Trials

Summary

In 2002 was created F2 Ventures, which is appeared as VC. The main office of represented VC is situated in the London. The fund was located in Europe if to be more exact in United Kingdom.

Among the various public portfolio startups of the fund, we may underline AlloVir, Cullinan Oncology, Cullinan Oncology Besides, a startup needs to be aged 4-5 years to get the investment from the fund. The fund has no exact preference in some founders of portfolio startups. When startup sums 3 or 4 of the founder, the probability for it to get the investment is little. Among the most popular fund investment industries, there are Pharmaceutical, Therapeutics. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the F2 Ventures, startups are often financed by New York Angels, MPM Capital, Jerusalem Global Ventures. The meaningful sponsors for the fund in investment in the same round are MPM Capital, UBS Asset Management, Redmile Group. In the next rounds fund is usually obtained by Venturra Capital, MPM Capital, Cento Ventures.

We also calculated 1 valuable employee in our database.

Comparing to the other companies, this F2 Ventures performs on 12 percentage points less the average number of lead investments. Speaking about the real fund results, this VC is 3 percentage points less often commits exit comparing to other organizations. The common things for fund are deals in the range of 50 - 100 millions dollars. The fund is constantly included in less than 2 deals per year. The higher amount of exits for fund were in 2019. The important activity for fund was in 2015.

Show more

Investor highlights

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
26
Lead investments
3
Exits
6
Rounds per year
1.18
Follow on index
0.42
Investments by industry
  • Biotechnology (17)
  • Therapeutics (9)
  • Pharmaceutical (9)
  • Health Care (6)
  • Biopharma (6)
  • Show 31 more
Investments by region
  • United States (19)
  • Israel (6)
  • Malaysia (1)
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
86M
Group Appearance index
1.00
Avg. company exit year
17
Strategy success index
0.50

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
BetterFit Technologies 03 Apr 2013 Artificial Intelligence, Health Care, mHealth Seed 310K United States, Cambridge, Massachusetts
Hyphen 23 Aug 2018 Mobile, Human Resources, Artificial Intelligence, Machine Learning, SaaS, Enterprise Software, Market Research Early Stage Venture 2M United States, California, San Francisco
Orna Therapeutics 24 Feb 2021 Biotechnology, Medical, Pharmaceutical, Therapeutics Early Stage Venture 80M United States, Massachusetts, Cambridge
ReNAgade Therapeutics 23 May 2023 Biotechnology, Medical, Therapeutics Early Stage Venture 300M United States, Massachusetts, Cambridge

Similar funds

By same location

By same geo focus

By doing lead investments

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.