ESW Capital

Total investments

2

Average round size

6M

Portfolio companies

2

Rounds per year

0.06

Lead investments

2

Exits

1

Areas of investment
Communication SoftwareSoftwareSaaSEnterprise SoftwareVideoCRMVideo StreamingCustomer ServiceUnified CommunicationsSales Automation

Summary

In 1988 was created ESW Capital, which is appeared as VC. The venture was found in North America in United States. The leading representative office of defined VC is situated in the Austin.

Among the most successful fund investment fields, there are Software, Video Streaming. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Besides, a startup needs to be aged more than 20 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Qumu.

Besides them, we counted 1 critical employee of this fund in our database.

The usual cause for the fund is to invest in rounds with 1 partaker. Despite the ESW Capital, startups are often financed by The Halo Fund, The Angels' Forum, Storm Ventures.

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The high activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
2
Lead investments
2
Exits
1
Rounds per year
0.06
Investments by industry
  • Software (2)
  • Video Streaming (1)
  • Video (1)
  • Communication Software (1)
  • CRM (1)
  • Show 6 more
Investments by region
  • United States (2)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
30
Avg. valuation at time of investment
26M
Avg. company exit year
33
Avg. multiplicator
0.97

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Latest deals

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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.