Vivant

Total investments

2

Average round size

151K

Portfolio companies

2

Rounds per year

0.15

Lead investments

1

Areas of investment
SoftwareInformation TechnologyOnline PortalsEdTechHigher EducationEducationScheduling

Summary

Vivant appeared to be the Corporate Investor, which was created in 2008. The leading representative office of defined Corporate Investor is situated in the Sydney. The company was established in Australia.

The usual cause for the fund is to invest in rounds with 2-3 partakers. The meaningful sponsors for the fund in investment in the same round are muru-D, RCL Accelerator, Annie Parker. In the next rounds fund is usually obtained by Alium Capital, Perle Ventures, Pangaea Impact Investments.

We can highlight the next thriving fund investment areas, such as EdTech, Education. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Academy Xi. For fund there is a match between the country of its foundation and the country of its the most frequent investments - Australia.

The top activity for fund was in 2016. Deals in the range of 100 thousands - 1 million dollars are the general things for fund. The fund is generally included in less than 2 deals every year. When the investment is from Vivant the average startup value is 100 thousands - 1 million dollars.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.15
Investments by industry
  • Education (2)
  • EdTech (2)
  • Information Technology (1)
  • Online Portals (1)
  • Scheduling (1)
  • Show 2 more
Investments by region
  • Australia (1)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
3
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Fluid Education 07 Dec 2015 Software, EdTech, Higher Education, Education, Scheduling Seed 43K
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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.