Linear Dimensions Semiconductor

Total investments

1

Average round size

13M

Portfolio companies

1

Rounds per year

0.10

Areas of investment
Artificial IntelligenceFood and BeverageConsumer Electronics

Summary

Linear Dimensions Semiconductor is the famous Corporate Investor, which was founded in 2011. The leading representative office of defined Corporate Investor is situated in the San Jose. The venture was found in North America in United States.

The typical case for the fund is to invest in rounds with 4 participants. The meaningful sponsors for the fund in investment in the same round are TowerJazz, Meyer Ventures, Egis Technology.

The important activity for fund was in 2019. The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 10 - 50 millions dollars.

Besides, a startup needs to be aged 6-10 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most popular portfolio startups of the fund, we may highlight AIStorm. We can highlight the next thriving fund investment areas, such as Manufacturing, Analytics.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.10
Investments by industry
  • Consumer Electronics (1)
  • Artificial Intelligence (1)
  • Food and Beverage (1)
Investments by region
  • United States (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
10
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
AIStorm 11 Feb 2019 Artificial Intelligence, Food and Beverage, Consumer Electronics Early Stage Venture 13M United States, California, San Jose
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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.