Sugar Mountain

Total investments

5

Average round size

8M

Portfolio companies

5

Exits

1

Areas of investment
E-CommerceRetailPaymentsSaaSProduct DesignConsumer SoftwareConsumer ElectronicsOnline AuctionsSporting GoodsLocal Shopping

Summary

The fund was located in North America if to be more exact in United States. The main department of described Corporate Investor is located in the Seattle.

The standard case for the fund is to invest in rounds with 5 partakers. The meaningful sponsors for the fund in investment in the same round are Westlake International Group, Madrona Venture Group, Kellett Investment.

The fund is constantly included in less than 2 deals per year. The increased amount of exits for fund were in 2000. The high activity for fund was in 2000. The usual things for fund are deals in the range of 10 - 50 millions dollars.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Gear.com, Human Inc. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular fund investment industries, there are Product Design, Consumer Electronics. The fund has no exact preference in some founders of portfolio startups.

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Investments analytics

Analytics

Total investments
5
Lead investments
0
Exits
1
Investments by industry
  • E-Commerce (2)
  • Consumer Software (1)
  • Consumer Electronics (1)
  • Product Design (1)
  • Online Auctions (1)
  • Show 12 more
Investments by region
  • United States (4)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
15
Group Appearance index
0.80
Avg. company exit year
3

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Human Inc 26 Sep 2018 Product Design, Consumer Software, Consumer Electronics Early Stage Venture 21M United States, Washington, Seattle
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.