Elsted Capital Partners

Total investments

7

Average round size

17M

Portfolio companies

4

Rounds per year

1.40

Lead investments

1

Follow on index

0.43

Areas of investment
BeautyInformation TechnologyManufacturingElectronicsInformation and Communications Technology (ICT)Public Safety

Summary

The usual things for fund are deals in the range of 10 - 50 millions dollars. The average startup value when the investment from Elsted Capital Partners is 50-100 millions dollars. The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2018.

Among the most successful fund investment fields, there are Communications Infrastructure, Smart Home. Among the most popular portfolio startups of the fund, we may highlight Carbyne.

The overall number of key employees were 1.

The standard case for the fund is to invest in rounds with 3 partakers. Despite the Elsted Capital Partners, startups are often financed by Ehud Barak, Office of the Chief Scientist of Israel - OCS, Nicole Junkermann. The meaningful sponsors for the fund in investment in the same round are Founders Fund, FinTLV Ventures.

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Investments analytics

Analytics

Total investments
7
Lead investments
1
Rounds per year
1.40
Follow on index
0.43
Investments by industry
  • Information Technology (4)
  • Information and Communications Technology (ICT) (4)
  • Public Safety (4)
  • Electronics (1)
  • Manufacturing (1)
  • Show 1 more
Investments by region
  • United States (6)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
30
Avg. valuation at time of investment
86M
Group Appearance index
0.57

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Carbyne 07 Sep 2022 Information Technology, Information and Communications Technology (ICT), Public Safety Late Stage Venture 56M United States, New York, New York
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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.