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Samsung Catalyst Fund

Investor type Corporate Venture Capital


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This summary is composed by our algorithm based on the analysis of the deals. If you think that some of this information is not accurate, please let us know about it and provide any supporting evidences if possible. Such cases will be analyzed by our ML-algorithm and implemented in our database, which will improve this summary.

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Total investments 43
Average round size
The average size of a deal this fund participated in
Portfolio companies 41
Rounds per year 4.78
Lead investments 6
Follow on index
How often the fund supports its portfolio startups at next rounds
Exits 9
Key employees 2
Stages of investment
Early Stage Venture
Late Stage Venture

Areas of investment

  • Software
  • Artificial Intelligence
  • Hardware
  • Machine Learning
  • Semiconductor

The fund was located in North America if to be more exact in United States. Samsung Catalyst Fund appeared to be a CVC structure as part of the corporation. The leading representative office of defined VC is situated in the Menlo Park.

Among the most popular portfolio startups of the fund, we may highlight Graphcore, Ring, IonQ. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular fund investment industries, there are Artificial Intelligence, Machine Learning. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little.

Besides them, we counted 1 critical employee of this fund in our database.

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the Samsung Catalyst Fund, startups are often financed by Magma Venture Partners, Robert Bosch Venture Capital, Zohar Zisapel. The meaningful sponsors for the fund in investment in the same round are Robert Bosch Venture Capital, Sequoia Capital, Sean Rad. In the next rounds fund is usually obtained by Shenzhen Capital Group, Samsung Strategy and Innovation Center, Qualcomm Ventures.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The top amount of exits for fund were in 2019. Speaking about the real fund results, this VC is 12 percentage points less often commits exit comparing to other organizations. Comparing to the other companies, this Samsung Catalyst Fund performs on 16 percentage points less the average number of lead investments. When the investment is from Samsung Catalyst Fund the average startup value is 500 millions - 1 billion dollars. The high activity for fund was in 2017. The fund is constantly included in 2-6 deals per year.

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Typical Co-investors
Samsung Catalyst Fund is more likely to invest in rounds together with the following funds:
Funds investing in following rounds
These funds have a tendency to invest in the following rounds after Samsung Catalyst Fund:

Funds with similar focus

Funds from United States
Funds with similar focus located in United States:
Funds with the same geo focus
Funds with similar geography of portfolio companies:
Funds doing lead investments
Funds with similar focus acting as lead investors:

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Notable deals

CompanyIndustryRound SizeDateInvestorsLocation


Artificial Intelligence
Cloud Storage
Data Center
Data Storage
Financial Services
Information Technology
Machine Learning
$135M15 Nov 2022 California, United States

Avicena Tech

Industrial Manufacturing
$25M02 Aug 2022 Sunnyvale, California, United States


Artificial Intelligence
Enterprise Software
Machine Learning
Software Engineering
$55M23 Nov 2021 San Francisco, California, United States

Landing AI

Artificial Intelligence
Computer Vision
Machine Learning
$57M08 Nov 2021 Palo Alto, California, United States

Empower Semiconductor

Mobile Devices
$45M26 Oct 2021 Milpitas, California, United States

Ada Health

Artificial Intelligence
Health Care
$87M27 May 2021 Berlin, Berlin, Germany


Artificial Intelligence
Enterprise Software
Machine Learning
Software Engineering
$50M02 Feb 2021 San Francisco, California, United States


Artificial Intelligence
Machine Learning
$222M29 Dec 2020 Bristol, England, United Kingdom

German Bionic

Artificial Intelligence
Industrial Automation
Open Source
$20M14 Dec 2020 Augsburg, Bavaria, Germany


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