MI Care

Total investments

3

Average round size

19M

Portfolio companies

3

Lead investments

1

Exits

2

Areas of investment
BiotechnologyHealth DiagnosticsMedicalPharmaceuticalTherapeutics

Summary

Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2017. The higher amount of exits for fund were in 2017.

Among the most successful fund investment fields, there are Pharmaceutical, Therapeutics. Among the most popular portfolio startups of the fund, we may highlight Advicenne. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.

The usual cause for the fund is to invest in rounds with 5-6 partakers. The meaningful sponsors for the fund in investment in the same round are Sofipaca, Sham Innovation Santu00e9, Quest for Growth.

Show more

Investments analytics

Analytics

Total investments
3
Lead investments
1
Exits
2
Investments by industry
  • Pharmaceutical (2)
  • Medical (2)
  • Health Diagnostics (1)
  • Therapeutics (1)
  • Biotechnology (1)
Investments by region
  • France (2)
Peak activity year
2017

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
102M
Group Appearance index
1.00
Avg. company exit year
7
Avg. multiplicator
9.81

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
HalioDx 17 Jan 2018 Health Diagnostics, Medical, Pharmaceutical Early Stage Venture 21M Provence-Alpes-Côte d'Azur, Marseille, France
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.