Shield Capital Partners

Total investments

6

Average round size

65M

Portfolio companies

3

Follow on index

0.50

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologySoftwareAnalyticsAerospaceCyber SecurityLife SciencePharmaceuticalWirelessBiopharmaRisk Management

Summary

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the Shield Capital Partners, startups are often financed by Razor's Edge Ventures, Allied Minds, Sumitomo Corporation. The meaningful sponsors for the fund in investment in the same round are Razor's Edge Ventures, Allied Minds, Sumitomo Corporation. In the next rounds fund is usually obtained by Razor's Edge Ventures, Esri, Allied Minds.

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight HawkEye 360. Among the most popular fund investment industries, there are Aerospace, Analytics.

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The high activity for fund was in 2019. When the investment is from Shield Capital Partners the average startup value is 100-500 millions dollars.

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Investments analytics

Analytics

Total investments
6
Lead investments
0
Follow on index
0.50
Investments by industry
  • Aerospace (5)
  • Analytics (5)
  • Wireless (4)
  • Software (1)
  • Risk Management (1)
  • Show 9 more
Investments by region
  • United States (6)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
256M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
HawkEye 360 11 Sep 2018 Analytics, Aerospace, Wireless Early Stage Venture 5M United States, Virginia
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.