Total investments

10

Average round size

8M

Portfolio companies

8

Lead investments

1

Follow on index

0.20

Areas of investment
BiotechnologyDrug DiscoveryHealth CareManufacturingMedicalTherapeuticsBiopharmaMechanical EngineeringMachinery ManufacturingMechanical Design

Summary

The fund has exact preference in some founders of portfolio startups. Besides, a startup requires to be at the age of 11-15 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Antiva Biosciences, Pionyr Immunotherapeutics, Iconic Therapeutics. Among the most successful fund investment fields, there are Health Care, Biopharma.

Deals in the range of 5 - 10 millions dollars are the general things for fund. The top activity for fund was in 2018. The fund is constantly included in less than 2 deals per year.

The usual cause for the fund is to invest in rounds with more than 10 partakers. Despite the JLABS, startups are often financed by OUP (Osage University Partners), MPM Capital, Lundbeckfonden Ventures. The meaningful sponsors for the fund in investment in the same round are OUP (Osage University Partners), Sofinnova Investments, Sirona Capital.

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Investments analytics

Analytics

Total investments
10
Lead investments
1
Follow on index
0.20
Investments by industry
  • Biotechnology (8)
  • Health Care (4)
  • Medical (4)
  • Therapeutics (3)
  • Biopharma (2)
  • Show 8 more
Investments by region
  • United States (6)
  • Canada (4)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
34M
Group Appearance index
0.70

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Vincere Biosciences 25 Nov 2020 Biotechnology Seed 1M United States, Massachusetts, Cambridge
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.