Innovation Fund North Carolina

Total investments

1

Average round size

1M

Portfolio companies

1

Rounds per year

0.12

Exits

1

Stages of investment
Seed
Areas of investment
SoftwareEnterprise SoftwareSecurityEnergy Efficiency

Summary

Innovation Fund North Carolina appeared to be the VC, which was created in 2013.

Besides them, we counted 1 critical employee of this fund in our database.

The usual cause for the fund is to invest in rounds with 3 partakers. The meaningful sponsors for the fund in investment in the same round are Tri State Ventures, MCNC Ventures. In the next rounds fund is usually obtained by Inflection Point Ventures, Core Capital Partners, Anthem Capital Management.

Among the most popular portfolio startups of the fund, we may highlight Triumfant. Among the most popular fund investment industries, there are Software, Energy Efficiency. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.

The important activity for fund was in 2004. The usual things for fund are deals in the range of 1 - 5 millions dollars. The higher amount of exits for fund were in 2016. The fund is generally included in less than 2 deals every year.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.12
Investments by industry
  • Energy Efficiency (1)
  • Security (1)
  • Enterprise Software (1)
  • Software (1)
Investments by region
  • United States (1)
Peak activity year
2004

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Quantitative data

Avg. startup age at the time of investment
19
Group Appearance index
1.00
Avg. company exit year
14

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Triumfant 07 Jun 2004 Software, Enterprise Software, Security, Energy Efficiency Early Stage Venture 1M United States, Maryland
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.