Warsaw Equity Group

Type

Private equity

Status

Active

Location

Warsaw, Poland

Total investments

9

Average round size

2M

Portfolio companies

9

Rounds per year

0.30

Exits

1

Stages of investment
Private EquityLate Stage Venture
Areas of investment
SoftwareAnalyticsArtificial IntelligenceAppsManufacturingBusiness IntelligenceMarketing3D PrintingPrintingMachinery Manufacturing

Summary

In 1993 was created Warsaw Equity Group, which is appeared as VC.

The high activity for fund was in 2015. The common things for fund are deals in the range of 1 - 5 millions dollars. When the investment is from Warsaw Equity Group the average startup value is 10-50 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

Among the various public portfolio startups of the fund, we may underline Zmorph Among the most successful fund investment fields, there are Software, Printing.

The typical case for the fund is to invest in rounds with 1-2 participants. Despite the Warsaw Equity Group, startups are often financed by Arkley - The Accelerator VC. The meaningful sponsors for the fund in investment in the same round are Tim Schumacher.

The overall number of key employees were 2.

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Investor highlights

Industry focus
B2B/EnterpriseHardwareAI/Big DataCybersecurityIoT Show 3 more
Check size
4M — 16M

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Investments analytics

Analytics

Total investments
9
Lead investments
0
Exits
1
Rounds per year
0.30
Investments by industry
  • Software (5)
  • Analytics (2)
  • Artificial Intelligence (2)
  • Manufacturing (2)
  • Machinery Manufacturing (1)
  • Show 24 more
Investments by region
  • Poland (7)
  • Germany (1)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
1M
Group Appearance index
0.22

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Artifex Mundi 01 Jan 2012 Online Games, Video Games, Casual Games Early Stage Venture
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.