Rimco Investments

Total investments

2

Average round size

27M

Portfolio companies

2

Areas of investment
Application SoftwareOther Healthcare ServicesInformation Services (B2C)InternetFitnessHealth CareAppsMobile AppsSocial NetworkSocial Media

Summary

The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2017. The common things for fund are deals in the range of 5 - 10 millions dollars.

The typical case for the fund is to invest in rounds with 6 participants. Despite the Rimco Investments, startups are often financed by Middle East Venture Partners (MEVP), DASH Ventures. The meaningful sponsors for the fund in investment in the same round are Vickers Venture Partners, TAMM Invest, Middle East Venture Partners (MEVP).

Among the most popular portfolio startups of the fund, we may highlight Altibbi. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Health Care, Apps.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Fitness (1)
  • Apps (1)
  • Application Software (1)
  • Information Services (B2C) (1)
  • Health Care (1)
  • Show 5 more
Investments by region
  • India (1)
  • United Arab Emirates (1)
Peak activity year
2017
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
11
Avg. valuation at time of investment
2B
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Altibbi 02 Oct 2017 Application Software, Other Healthcare Services, Information Services (B2C), Fitness, Health Care, Apps Early Stage Venture 6M United Arab Emirates, Dubai
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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.