Innovation and Technology Venture Fund

Total investments

24

Average round size

8M

Portfolio companies

20

Follow on index

0.17

Exits

1

Stages of investment
Early Stage Venture
Areas of investment
Supply Chain ManagementSoftwareFinancial ServicesFinTechAnalyticsInformation TechnologyFinanceArtificial IntelligenceTrading PlatformCompliance

Summary

The standard case for the fund is to invest in rounds with 2 partakers. Despite the Innovation and Technology Venture Fund, startups are often financed by The Aria Group, MindWorks Ventures, Betatron. The meaningful sponsors for the fund in investment in the same round are MindWorks Ventures.

Among the most successful fund investment fields, there are Analytics, Supply Chain Management. Among the most popular portfolio startups of the fund, we may highlight ICW. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.

Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year. The high activity for fund was in 2019.

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Investments analytics

Analytics

Total investments
24
Lead investments
0
Exits
1
Follow on index
0.17
Investments by industry
  • Information Technology (8)
  • FinTech (6)
  • Financial Services (6)
  • Software (6)
  • Finance (4)
  • Show 42 more
Investments by region
  • China (23)
  • United Kingdom (1)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
8M
Group Appearance index
0.71
Avg. company exit year
9
Avg. multiplicator
15.07

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Gense Technologies 04 Mar 2024 Biotechnology, Information Technology, Health Care, Medical Device, Medical Seed Hong Kong Island, Hong Kong, China
StayPlease 12 Jul 2019 Software, Information Technology, Hospitality Early Stage Venture Hong Kong Island, Hong Kong, China
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.