Champion Hill Labs

Type

Venture Capital

Status

Active

Location

Cary, United States

Total investments

8

Average round size

3M

Portfolio companies

5

Follow on index

0.38

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
TransportationInformation TechnologyRoboticsAerospaceManufacturingElectronicsImage RecognitionSatellite CommunicationGeospatialContinuing Education

Summary

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the various public portfolio startups of the fund, we may underline LabGenius. Among the most popular fund investment industries, there are Biotechnology, Artificial Intelligence.

The standard case for the fund is to invest in rounds with 7 partakers. The meaningful sponsors for the fund in investment in the same round are Tom McInerney, Tiny Super Computer Investment Company, System.One. In the next rounds fund is usually obtained by iNovia Capital, Patrick Pichette, Obvious Ventures.

The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2017.

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Investor highlights

Geo focus
Generalist

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Investments analytics

Analytics

Total investments
8
Lead investments
0
Follow on index
0.38
Investments by industry
  • Robotics (3)
  • Image Recognition (2)
  • Satellite Communication (2)
  • Geospatial (2)
  • Information Technology (2)
  • Show 18 more
Investments by region
  • United States (7)
  • United Kingdom (1)
Peak activity year
2021

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Quantitative data

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

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SkillBank 24 May 2021 E-Learning, Human Resources, Communities, Marketing, Continuing Education Seed 1M 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.