Trimble

Total investments

3

Average round size

1M

Portfolio companies

3

Rounds per year

0.07

Lead investments

2

Exits

2

Areas of investment
SoftwareSemiconductorWirelessLocation Based Services

Summary

Trimble is the famous Corporate Investor, which was founded in 1978. The main office of represented Corporate Investor is situated in the Sunnyvale. The venture was found in North America in United States.

The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Trimble, startups are often financed by iSherpa Capital, Shelter Capital Partners, Danske Private Equity. The meaningful sponsors for the fund in investment in the same round are iSherpa Capital, Shelter Capital Partners, Nordic Venture Partners (Sweden).

The top activity for fund was in 2004. The increased amount of exits for fund were in 2007. The usual things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 deals per year.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline uNav Microelectronics 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 Location Based Services, Software.

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Investments analytics

Analytics

Total investments
3
Lead investments
2
Exits
2
Rounds per year
0.07
Investments by industry
  • Wireless (1)
  • Location Based Services (1)
  • Semiconductor (1)
  • Software (1)
Investments by region
  • United States (3)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
31
Avg. valuation at time of investment
18M
Group Appearance index
0.33
Avg. company exit year
6
Avg. multiplicator
3.18

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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.