Princeville Capital

Type

Venture Capital

Status

Active

Location

Berlin, Germany

Total investments

20

Average round size

246M

Portfolio companies

15

Rounds per year

2.22

Follow on index

0.25

Exits

3

Stages of investment
Late Stage Venture
Areas of investment
E-CommerceInternetSupply Chain ManagementSoftwareRetailInformation TechnologyEnergyRenewable EnergyClean EnergyOil and Gas

Investor highlights

Industry focus
MobilityClimate techEnergyFoodtechAgriculture Show 5 more
Stage focus
Series CSeries DSeries FSeries E
Geo focus
Generalist

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Last fund

Fund size
USD 300000000
Fund raised date
2019-11-25

Analytics

Total investments
20
Lead investments
0
Exits
3
Rounds per year
2.22
Follow on index
0.25
Investments by industry
  • Software (6)
  • Energy (5)
  • Information Technology (5)
  • E-Commerce (4)
  • Internet (4)
  • Show 40 more
Investments by region
  • Turkey (1)
  • France (2)
  • China (2)
  • United States (7)
  • Russia (2)
  • Show 5 more
Peak activity year
2022
Number of Unicorns
5
Number of Decacorns
6
Number of Minotaurs
6

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
12
Avg. valuation at time of investment
877M
Group Appearance index
0.95
Avg. company exit year
8
Avg. multiplicator
0.39
Strategy success index
0.80

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
EcoVadis 13 Jun 2022 Supply Chain Management, Sustainability, Risk Management Late Stage Venture 500M Ile-de-France, Paris, France

Similar funds

By same location

By same geo focus

By doing lead investments

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.