X Capital Ventures

Total investments

2

Average round size

3M

Portfolio companies

2

Rounds per year

0.67

Lead investments

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareInformation TechnologyArtificial IntelligenceAppsMobile AppsRoboticsSmart Home

Summary

Among the most successful fund investment fields, there are Artificial Intelligence, Mobile Apps. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Shenqing Technology, Igloohome.

The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2018.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the X Capital Ventures, startups are often financed by Wavemaker Partners, Singtel Innov8, Dreamit Ventures. The meaningful sponsors for the fund in investment in the same round are Wavemaker Partners, Prasetia Dwidharma, Phillip Private Equity. In the next rounds fund is usually obtained by Wavemaker Partners, TH Capital, Singtel Innov8.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.67
Investments by industry
  • Information Technology (1)
  • Apps (1)
  • Software (1)
  • Smart Home (1)
  • Mobile Apps (1)
  • Show 2 more
Investments by region
  • Singapore (1)
  • China (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
3
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Igloohome 23 Feb 2018 Software, Information Technology, Apps, Mobile Apps, Smart Home Early Stage Venture 4M Central, Singapore, Singapore

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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.