Frontier Angels

Polson, United States
Angel Group/Syndicate
Active
Total investments

16

Average round size

1M

Portfolio companies

12

Follow on index

0.19

Stages of investment
Seed
Areas of investment
BiotechnologyMobileHuman ResourcesHealth CareMobile AppsTrainingEducationAgTechDatingStaffing Agency

Summary

Besides them, we counted 3 critical employees of this fund in our database.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Frontier Angels, startups are often financed by SpringRock Ventures, Pioneer Square Labs, Learn Capital. The meaningful sponsors for the fund in investment in the same round are SpringRock Ventures, SEI Ventures, LearnStart.

Among the various public portfolio startups of the fund, we may underline NextStep(NextStep Interactive) Besides, a startup needs to be aged 1 and less years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Cyber Security, Analytics.

The important activity for fund was in 2019. The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in 2-6 investment rounds annually.

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Investor highlights

Stage focus
Seed
Geo focus
United States, Montana

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Investments analytics

Analytics

Total investments
16
Lead investments
0
Follow on index
0.19
Investments by industry
  • Human Resources (3)
  • Staffing Agency (3)
  • Training (3)
  • Education (3)
  • Mobile Apps (3)
  • Show 24 more
Investments by region
  • United States (14)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
166K
Group Appearance index
0.81

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
OnStation10 Jun 2024Software, Mobile, Mobile AppsEarly Stage Venture8MUnited States, Ohio, Cleveland
Seatrec01 Oct 2020Energy, Renewable Energy, Marine Technology, Marine TransportationSeed2MUnited States, California, Vista

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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.