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Capital TEN II

Total investments

6

Average round size

53M

Portfolio companies

5

Lead investments

1

Follow on index

0.17

Areas of investment
BiotechnologySoftwareInformation TechnologyArtificial IntelligenceMachine LearningBusiness IntelligenceCloud Data ServicesPharmaceuticalInternet of ThingsBiopharma

Summary

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Armetheon, MoBagel. We can highlight the next thriving fund investment areas, such as Cloud Data Services, Machine Learning.

The important activity for fund was in 2015. The usual things for fund are deals in the range of 10 - 50 millions dollars. The typical startup value when the investment from Capital TEN II is 10-50 millions dollars. The fund is generally included in less than 2 deals every year.

We also calculated 1 valuable employee in our database.

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the Capital TEN II, startups are often financed by Wei Guo, TSVC, Singtel Innov8. The meaningful sponsors for the fund in investment in the same round are TSVC, Singtel Innov8, NCTU Angel Club. In the next rounds fund is usually obtained by Wistron Corporation, NCTU Angel Club, First Venture Capital, Inc..

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Investments analytics

Analytics

Total investments
6
Lead investments
1
Follow on index
0.17
Investments by industry
  • Information Technology (3)
  • Software (3)
  • Biotechnology (1)
  • Pharmaceutical (1)
  • Biopharma (1)
  • Show 14 more
Investments by region
  • United States (6)
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
6M
Group Appearance index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Rivos16 Apr 2024Early Stage Venture250MUnited States, California, Mountain View
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.