JL Capital

Total investments

1

Average round size

10M

Portfolio companies

1

Stages of investment
Early Stage Venture
Areas of investment
LogisticsE-CommerceInternetInformation Technology

Summary

The main office of represented VC is situated in the Singapore. The fund was located in Asia if to be more exact in Singapore.

For fund there is no match between the country of its foundation and the country of its the most frequent investments - Thailand. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight aCommerce. Among the most popular fund investment industries, there are E-Commerce, Internet.

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

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2014.

The usual cause for the fund is to invest in rounds with 8 partakers. Despite the JL Capital, startups are often financed by NTT DOCOMO Ventures, CyberAgent Capital. The meaningful sponsors for the fund in investment in the same round are Sumitomo Corporation Equity Asia, Sinarmas, NTT DoCoMo. In the next rounds fund is usually obtained by DKSH, Sinarmas, MDI Ventures.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Internet (1)
  • Logistics (1)
  • Information Technology (1)
  • E-Commerce (1)
Investments by region
  • Thailand (1)
Peak activity year
2014

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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
aCommerce 08 Jun 2014 Logistics, E-Commerce, Internet, Information Technology Early Stage Venture 10M Thailand, Bangkok

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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.