Polaris Founders Capital

Total investments

3

Average round size

100M

Portfolio companies

3

Rounds per year

0.11

Exits

2

Areas of investment
BiotechnologyHealth DiagnosticsGeneticsMedicalNeurosciencePharmaceutical

Summary

The standard case for the fund is to invest in rounds with 8 partakers. Despite the Polaris Founders Capital, startups are often financed by U.S. Department of Defense, Taiwania Capital, Korea Investment Partners. The meaningful sponsors for the fund in investment in the same round are Taiwania Capital, RTW Investments LLC, Perceptive Advisors.

The high activity for fund was in 2019. The increased amount of exits for fund were in 2019. The fund is generally included in less than 2 deals every year. Deals in the range of 50 - 100 millions dollars are the general things for fund.

Among the most popular portfolio startups of the fund, we may highlight Frequency Therapeutics. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most successful fund investment fields, there are Medical, Biotechnology.

We also calculated 2 valuable employees in our database.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Exits
2
Rounds per year
0.11
Investments by industry
  • Biotechnology (3)
  • Medical (2)
  • Pharmaceutical (2)
  • Genetics (1)
  • Health Diagnostics (1)
  • Show 1 more
Investments by region
  • United States (3)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Amylyx Pharmaceuticals 20 Jul 2021 Biotechnology, Medical, Neuroscience, Pharmaceutical Late Stage Venture 135M 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.