Eli Whitney Fund

Total investments

3

Average round size

1M

Portfolio companies

3

Exits

1

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologyHealth CareHealth DiagnosticsManufacturingVideoPhotographyRenewable EnergyChemicalSensor

Summary

The fund has exact preference in a number of founders of portfolio startups. Among the various public portfolio startups of the fund, we may underline Precipio Diagnostics, P2 Science, RemoteReality Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most popular fund investment industries, there are Health Diagnostics, Photography.

The usual cause for the fund is to invest in rounds with 4 partakers. Despite the Eli Whitney Fund, startups are often financed by Connecticut Innovations, Chart Venture Partners, Battelle Ventures. The meaningful sponsors for the fund in investment in the same round are Connecticut Innovations, Kuzari Group, Kuwaiti European Holding Company. In the next rounds fund is usually obtained by Xeraya Capital, Ironwood Capital, Elm Street Ventures.

The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2014. This Eli Whitney Fund works on 4 percentage points more the average amount of lead investments comparing to the other organizations. The top amount of exits for fund were in 2000. Deals in the range of 1 - 5 millions dollars are the general things for fund.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Exits
1
Investments by industry
  • Biotechnology (2)
  • Health Care (1)
  • Health Diagnostics (1)
  • Video (1)
  • Photography (1)
  • Show 4 more
Investments by region
  • United States (3)
Peak activity year
2011

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Quantitative data

Avg. startup age at the time of investment
15
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
P2 Science 06 Apr 2014 Biotechnology, Renewable Energy, Chemical Early Stage Venture 1M United States, Connecticut
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.