Banque des Territoires

Total investments

75

Average round size

14M

Portfolio companies

66

Lead investments

6

Follow on index

0.12

Exits

1

Areas of investment
AutomotiveTransportationSoftwareInformation TechnologyRentalHealth CareRenewable EnergyElectric VehicleAgricultureFarming

Summary

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Ride Sharing, Cycling. Among the various public portfolio startups of the fund, we may underline Zoov

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Banque des Territoires, startups are often financed by Breega Capital, The endowment fund, Pierre Kosciusko-Morizet. The meaningful sponsors for the fund in investment in the same round are Via ID, Ru00e9gion Sud Investissement, Road Ventures.

Deals in the range of 5 - 10 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.

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Investments analytics

Analytics

Total investments
75
Lead investments
6
Exits
1
Follow on index
0.12
Investments by industry
  • Information Technology (10)
  • Software (8)
  • Renewable Energy (7)
  • Farming (6)
  • Transportation (5)
  • Show 115 more
Investments by region
  • France (70)
  • United States (2)
Peak activity year
2023

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
3M
Group Appearance index
0.95

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Vizcab 21 Nov 2023 Construction Early Stage Venture 5M Auvergne-Rhône-Alpes, Lyon, France
vorteX-io 06 Jun 2024 Seed 3M Midi-Pyrenees, Toulouse, 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.