SK Hynix

Total investments

19

Average round size

57M

Portfolio companies

19

Rounds per year

0.46

Lead investments

3

Exits

1

Areas of investment
SoftwareInformation TechnologyArtificial IntelligenceMachine LearningManufacturingCloud InfrastructureHardwareSemiconductorElectronicsInternet of Things

Summary

SK Hynix appeared to be the Corporate Investor, which was created in 1983. The main office of represented Corporate Investor is situated in the Seoul. The company was established in Asia in South Korea.

Considering the real fund results, this Corporate Investor is 30 percentage points more often commits exit comparing to other organizations. The high activity for fund was in 2016. When the investment is from SK Hynix the average startup value is more than 1 billion dollars. This SK Hynix works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The fund is constantly included in less than 2 investment rounds annually. The common things for fund are deals in the range of more than 100 millions dollars.

The usual cause for the fund is to invest in rounds with 5 partakers. Despite the SK Hynix, startups are often financed by Intel Capital, Wu Capital, Infosys. The meaningful sponsors for the fund in investment in the same round are Samsung Ventures, Intel Capital, Walden Riverwood Ventures. In the next rounds fund is usually obtained by National Science Foundation.

Among the various public portfolio startups of the fund, we may underline Horizon Robotics, Stratio, Inc., TidalScale For fund there is no match between the location of its establishment and the land of its numerous investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. Among the most popular fund investment industries, there are Machine Learning, Semiconductor. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

Besides them, we counted 9 critical employees of this fund in our database.

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Investments analytics

Analytics

Total investments
19
Lead investments
3
Exits
1
Rounds per year
0.46
Investments by industry
  • Semiconductor (9)
  • Electronics (7)
  • Manufacturing (6)
  • Software (5)
  • Artificial Intelligence (5)
  • Show 26 more
Investments by region
  • China (3)
  • United States (13)
  • Israel (2)
  • Canada (1)
Peak activity year
2022
Number of Unicorns
2
Number of Decacorns
2
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
316M
Group Appearance index
0.84
Avg. company exit year
7
Strategy success index
0.70

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Done 19 Nov 2019 Software, Productivity Tools, Enterprise Applications Seed Aquitaine, Bordeaux, France
Eliyan 25 Mar 2024 Manufacturing, Semiconductor, Electronics Early Stage Venture 60M United States, California, Santa Clara
SoFi 12 Sep 2012 Financial Services, FinTech, Wealth Management, Life Insurance Early Stage Venture 77M United States, California, San Francisco
Starblaze 28 Aug 2018 Information Technology, Hardware, Cloud Storage Late Stage Venture 4M China, Beijing, Haidian District
Traxens 17 Jul 2019 Logistics, Supply Chain Management, Analytics, Big Data Late Stage Venture 23M France, Provence-Alpes-Côte d'Azur, Marseille
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.