Atinum Investment

Type

Venture Capital

Status

Active

Location

Seoul, South Korea

Total investments

137

Average round size

19M

Portfolio companies

85

Rounds per year

3.81

Lead investments

14

Follow on index

0.37

Exits

3

Areas of investment
BiotechnologyE-CommerceSoftwareMobileArtificial IntelligenceMachine LearningHealth CareAppsMedicalFashion

Summary

In 1988 was created Atinum Investment, which is appeared as VC. The leading representative office of defined VC is situated in the Seoul. The company was established in Asia in South Korea.

The top activity for fund was in 2018. Despite it in 2019 the fund had an activity. The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The increased amount of exits for fund were in 2014. The real fund results show that this VC is 5 percentage points less often commits exit comparing to other companies. Opposing the other organizations, this Atinum Investment works on 24 percentage points less the average amount of lead investments. The typical startup value when the investment from Atinum Investment is 10-50 millions dollars.

The fund has no exact preference in some founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. For fund there is a match between the location of its establishment and the land of its numerous investments - South Korea. Among the most popular portfolio startups of the fund, we may highlight Berkeley Lights, InstaReM, Profusa. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most successful fund investment fields, there are Pharmaceutical, iOS.

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the Atinum Investment, startups are often financed by Vertex Ventures, Stonebridge Capital, Mirae Asset Venture Investment. The meaningful sponsors for the fund in investment in the same round are Stonebridge Capital, Mirae Asset Venture Investment, Company K Partners. In the next rounds fund is usually obtained by Mirae Asset Venture Investment, Company K Partners, Woomi construction corporation.

Besides them, we counted 2 critical employees of this fund in our database.

Show more

Investor highlights

Industry focus
Biotech/Life SciencesHealthcareDeep TechB2B/EnterpriseMedia/Content
Stage focus
Seed
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Last fund

Fund size
KRW 800000000
Fund raised date
2023-09-21

Analytics

Total investments
137
Lead investments
14
Exits
3
Rounds per year
3.81
Follow on index
0.37
Investments by industry
  • E-Commerce (29)
  • Artificial Intelligence (20)
  • Biotechnology (18)
  • Software (17)
  • Machine Learning (15)
  • Show 129 more
Investments by region
  • South Korea (104)
  • United States (16)
  • China (1)
  • Russia (2)
  • Singapore (3)
  • Show 3 more
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
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
72M
Group Appearance index
0.96
Avg. company exit year
2
Strategy success index
0.30

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
Allganize 28 Nov 2023 Enterprise, Artificial Intelligence, Machine Learning, Enterprise Software Early Stage Venture 274K United States, California, Oakland
Lemonbase 15 Jan 2023 Publishing, Information Technology, Content Early Stage Venture 6M New South Wales, Sydney, Australia
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.