Virtual Reality Investments

Total investments

3

Average round size

1M

Portfolio companies

3

Exits

1

Areas of investment
PublishingSoftwareInformation ServicesAppsAugmented RealityVirtual RealitySportsNewsComputerAdvertising

Summary

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 fund investment industries, there are Advertising, SaaS. Among the most popular portfolio startups of the fund, we may highlight Camera IQ.

The current fund was established by Don Stein.

The usual cause for the fund is to invest in rounds with 6-7 partakers. Despite the Virtual Reality Investments, startups are often financed by Y Combinator, Start Fund, SV Angel. The meaningful sponsors for the fund in investment in the same round are Wonder Ventures, Upslope Ventures, Two Sigma Ventures. In the next rounds fund is usually obtained by Shasta Ventures, Presence Capital, Noname Ventures.

The usual things for fund are deals in the range of 1 - 5 millions dollars. When the investment is from Virtual Reality Investments the average startup value is 1-5 millions dollars. The important activity for fund was in 2017. The fund is generally included in less than 2 deals every year.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Exits
1
Investments by industry
  • Virtual Reality (2)
  • Software (2)
  • Advertising (2)
  • Augmented Reality (2)
  • Computer (1)
  • Show 11 more
Investments by region
  • United States (3)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
2M
Group Appearance index
1.00
Avg. company exit year
-16
Avg. multiplicator
0.41

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
OmniVirt 10 Oct 2016 3D Technology, Augmented Reality, Virtual Reality, Advertising, Advertising Platforms, Ad Network Seed 0 United States, California, San Francisco
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.