PSIM fund

Total investments

2

Average round size

17M

Portfolio companies

2

Lead investments

1

Exits

1

Areas of investment
Health DiagnosticsMedicalPharmaceuticalRenewable EnergyInnovation ManagementBiomass Energy

Summary

Deals in the range of 10 - 50 millions dollars are the general things for fund. The important activity for fund was in 2019. The fund is constantly included in less than 2 investment rounds annually.

The usual cause for the fund is to invest in rounds with 7 partakers. Despite the PSIM fund, startups are often financed by Go Capital, Demeter Partners, Arkea Capital Investissement. The meaningful sponsors for the fund in investment in the same round are Sofipaca, Sham Innovation Santu00e9, Quest for Growth.

Among the various public portfolio startups of the fund, we may underline Ergosup Among the most popular fund investment industries, there are Biomass Energy, Renewable Energy. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
1
Investments by industry
  • Health Diagnostics (1)
  • Pharmaceutical (1)
  • Medical (1)
  • Biomass Energy (1)
  • Innovation Management (1)
  • Show 1 more
Investments by region
  • France (2)
Peak activity year
2018

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
8
Avg. valuation at time of investment
153M
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
Ergosup 18 Feb 2019 Renewable Energy, Innovation Management, Biomass Energy Early Stage Venture 12M France, Auvergne-Rhône-Alpes
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.