Gateway Venture Partners

Total investments

2

Average round size

5M

Portfolio companies

2

Lead investments

1

Exits

2

Stages of investment
Private Equity
Areas of investment
SoftwareFinancial ServicesInformation TechnologyEnterprise SoftwareReal TimeBankingMarketingData Visualization

Summary

Besides, a startup needs to be aged 4-5 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Enterprise Software, Software. Among the most popular portfolio startups of the fund, we may highlight PaylinX, Neovision Hypersystems.

The standard case for the fund is to invest in rounds with 3 partakers. The meaningful sponsors for the fund in investment in the same round are Southeast Interactive Technology Funds, Intel Capital, DB Capital Ventures. In the next rounds fund is usually obtained by Southeastern Technology Fund, PSINet Ventures, Orchard Global Asset Management.

The higher amount of exits for fund were in 2004. Deals in the range of 5 - 10 millions dollars are the general things for fund. The important activity for fund was in 2001. The fund is constantly included in less than 2 investment rounds annually.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
2
Investments by industry
  • Software (2)
  • Marketing (1)
  • Enterprise Software (1)
  • Information Technology (1)
  • Real Time (1)
  • Show 3 more
Investments by region
  • United States (2)
Peak activity year
1998

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Quantitative data

Avg. startup age at the time of investment
26
Avg. valuation at time of investment
69M
Group Appearance index
1.00
Avg. company exit year
8
Avg. multiplicator
3.21

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Neovision Hypersystems 19 Feb 2001 Software, Financial Services, Information Technology, Real Time, Banking, Data Visualization Early Stage Venture 7M United States, New York, New York
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.