Spring Tide

Total investments

2

Average round size

6M

Portfolio companies

2

Rounds per year

0.08

Lead investments

1

Areas of investment
SoftwareMobileGamingCasual Games

Summary

Spring Tide appeared to be the Corporate Investor, which was created in 1998. The leading representative office of defined Corporate Investor is situated in the Texas City. The venture was found in North America in United States.

Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Mobile, Gaming. Among the most popular portfolio startups of the fund, we may highlight Geewa. For fund there is no match between the country of its foundation and the country of its the most frequent investments - Czech Republic.

The high activity for fund was in 2014. The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

The usual cause for the fund is to invest in rounds with 4 partakers. Despite the Spring Tide, startups are often financed by MCI Capital SA. The meaningful sponsors for the fund in investment in the same round are Springtide Ventures, MCI Capital SA, KKCG.

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Investor highlights

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.08
Investments by industry
  • Gaming (1)
  • Casual Games (1)
  • Software (1)
  • Mobile (1)
  • Energy Management (1)
  • Show 3 more
Investments by region
  • United States (1)
  • Czechia (1)
Peak activity year
2014

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Arbor 07 Sep 2023 Seed 9M United States, Texas, Austin
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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.