Intrinsic Capital Partners

Total investments

8

Average round size

14M

Portfolio companies

6

Rounds per year

0.35

Lead investments

2

Follow on index

0.25

Stages of investment
Private EquityEarly Stage Venture
Areas of investment
BiotechnologySoftwareRetail TechnologyHealth CareMedical DeviceNutritionBiopharmaPoint of SaleCannabisAlternative Medicine

Summary

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. The fund has specific favorite in a number of founders of portfolio startups. Among the various public portfolio startups of the fund, we may underline Hound Labs, Treez We can highlight the next thriving fund investment areas, such as Cannabis, Health Care.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Intrinsic Capital Partners, startups are often financed by WelCan Capital, Scott H. Cohen, Salveo Capital. The meaningful sponsors for the fund in investment in the same round are WelCan Capital, Salveo Capital, NFP Ventures.

The high activity for fund was in 2019. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 10 - 50 millions dollars.

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Investments analytics

Analytics

Total investments
8
Lead investments
2
Rounds per year
0.35
Follow on index
0.25
Investments by industry
  • Biotechnology (6)
  • Health Care (3)
  • Cannabis (3)
  • Alternative Medicine (2)
  • Medical Device (2)
  • Show 10 more
Investments by region
  • United States (7)
  • Denmark (1)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
34M
Group Appearance index
0.62

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Nalu Bio 28 Feb 2023 Biotechnology Early Stage Venture 12M United States, California, San Francisco

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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.