Nuvoton Technology

Total investments

1

Average round size

20M

Portfolio companies

1

Rounds per year

0.08

Lead investments

1

Areas of investment
AutomotiveTransportationAutonomous VehiclesHardware

Summary

The leading representative office of defined Corporate Investor is situated in the Taiwan. The venture was found in Asia in China.

The usual cause for the fund is to invest in rounds with 1 partaker. Despite the Nuvoton Technology, startups are often financed by Vintage Investment Partners, Samsung Catalyst Fund, Mitsui Global Investment.

Among the various public portfolio startups of the fund, we may underline Autotalks For fund there is no match between the country of its foundation and the country of its the most frequent investments - Israel. Among the most popular fund investment industries, there are Autonomous Vehicles, Automotive. Besides, a startup needs to be aged 11-15 years to get the investment from the fund.

The fund is generally included in less than 2 deals every year. Deals in the range of 10 - 50 millions dollars are the general things for fund. The top activity for fund was in 2019.

Show more

Investments analytics

Analytics

Total investments
1
Lead investments
1
Rounds per year
0.08
Investments by industry
  • Transportation (1)
  • Automotive (1)
  • Autonomous Vehicles (1)
  • Hardware (1)
Investments by region
  • Israel (1)
Peak activity year
2019

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
13

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
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.