Belmond Capital

Total investments

3

Average round size

1M

Portfolio companies

3

Lead investments

1

Stages of investment
Early Stage Venture
Areas of investment
RetailArtificial IntelligenceFood and BeverageMachine LearningManufacturingComputer VisionEnergyImage RecognitionAgricultureNanotechnology

Summary

We can highlight the next thriving fund investment areas, such as Retail, Agriculture. Besides, a startup needs to be aged 1 and less years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline SEPPURE

The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is generally included in less than 2 deals every year. The top activity for fund was in 2019. Considering the real fund results, this VC is 13 percentage points more often commits exit comparing to other organizations.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Belmond Capital, startups are often financed by SOSV, HAX, Entrepreneur First. The meaningful sponsors for the fund in investment in the same round are Scottish Enterprise, SOSV, SGInnovate.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Investments by industry
  • Retail (1)
  • Energy (1)
  • Agriculture (1)
  • Nanotechnology (1)
  • Manufacturing (1)
  • Show 6 more
Investments by region
  • Singapore (1)
  • United Kingdom (1)
  • United States (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
4
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SEPPURE 30 Aug 2019 Food and Beverage, Manufacturing, Energy, Agriculture, Nanotechnology Seed 2M Central, Singapore, Singapore
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.