CEVA

Total investments

2

Average round size

7M

Portfolio companies

2

Rounds per year

0.11

Lead investments

2

Areas of investment
AutomotiveSoftwareMobileArtificial IntelligenceMachine LearningReal TimeComputer VisionHardware

Summary

CEVA appeared to be the Corporate Investor, which was created in 2002. The leading representative office of defined Corporate Investor is situated in the Mountain View. The venture was found in North America in United States.

The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2011. The common things for fund are deals in the range of 5 - 10 millions dollars.

The typical case for the fund is to invest in rounds with 1-2 participants. The meaningful sponsors for the fund in investment in the same round are Mitsui Global Investment. In the next rounds fund is usually obtained by Mizrahi Tefahot Bank, MaC GP Ltd., Kuang-Chi Science.

Among the most popular portfolio startups of the fund, we may highlight Eyesight Technologies. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. For fund there is no match between the location of its establishment and the land of its numerous investments - Israel. Among the most successful fund investment fields, there are Real Time, Computer Vision.

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Investments analytics

Analytics

Total investments
2
Lead investments
2
Rounds per year
0.11
Investments by industry
  • Software (2)
  • Computer Vision (1)
  • Automotive (1)
  • Artificial Intelligence (1)
  • Machine Learning (1)
  • Show 3 more
Investments by region
  • Canada (1)
  • Israel (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
18
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
22 Nov 2011 Automotive, Software, Artificial Intelligence, Machine Learning, Real Time, Computer Vision Early Stage Venture 4M Israel, " Israel"}
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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.