Utah Angels 2

Total investments

2

Average round size

4M

Portfolio companies

2

Rounds per year

0.25

Areas of investment
SoftwareInformation TechnologyHuman ResourcesRecruitingFinanceSocial NetworkSocial MediaNatural ResourcesEnergy EfficiencySmart Cities

Summary

In 2013 was created Utah Angels 2, which is appeared as VC.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Utah Angels 2, startups are often financed by Kickstart Seed Fund, BoomStartup. The meaningful sponsors for the fund in investment in the same round are SLC Angels, Park City Angels, LAC. In the next rounds fund is usually obtained by Quake Capital Partners, Park City Angels, Kickstart Seed Fund.

Among the most popular portfolio startups of the fund, we may highlight EmployeeReferrals.com. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular fund investment industries, there are Finance, Social Network.

Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2015. The typical startup value when the investment from Utah Angels 2 is 5-10 millions dollars.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.25
Investments by industry
  • Software (1)
  • Human Resources (1)
  • Social Media (1)
  • Social Network (1)
  • Recruiting (1)
  • Show 6 more
Investments by region
  • United States (2)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
3M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Vutility 01 Jun 2016 Finance, Renewable Energy, Natural Resources, Energy Efficiency, Smart Cities Seed 600K Utah, United States, Sandy
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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.