Innovation Camp

Total investments

5

Average round size

251K

Portfolio companies

5

Exits

1

Areas of investment
ConsumerArtificial IntelligenceEdTechBig Data3D TechnologyVirtual RealityElectronicsInternet of ThingsService IndustryHome Services

Summary

The venture was found in Asia in China. The leading representative office of defined VC is situated in the Shanghai.

The usual cause for the fund is to invest in rounds with 4-5 partakers. The meaningful sponsors for the fund in investment in the same round are Zhongmi Capital, Veddis, VKRM Ventures. In the next rounds fund is usually obtained by frogVentures, co.lab, StartX (Stanford-StartX Fund).

We can highlight the next thriving fund investment areas, such as EdTech, Service Industry. Among the most popular portfolio startups of the fund, we may highlight Kidaptive. For fund there is no match between the location of its establishment and the land of its numerous investments - United States.

The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2012. Deals in the range of 100 thousands - 1 million dollars are the general things for fund.

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Investments analytics

Analytics

Total investments
5
Lead investments
0
Exits
1
Investments by industry
  • Electronics (1)
  • 3D Technology (1)
  • Virtual Reality (1)
  • Consumer (1)
  • Artificial Intelligence (1)
  • Show 10 more
Investments by region
  • United States (2)
  • China (3)
Peak activity year
2012

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Quantitative data

Avg. startup age at the time of investment
7
Group Appearance index
1.00
Avg. company exit year
9

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Kidaptive 01 Apr 2012 EdTech, Education, Big Data, Personalization Seed United 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.