ADTRAN
1
10M
1
0.03
1
- Areas of investment
Summary
In 1985 was created ADTRAN, which is appeared as Corporate Investor. The main office of represented Corporate Investor is situated in the Huntsville. The company was established in North America in United States.
The fund is generally included in less than 2 deals every year. The high activity for fund was in 2019. Deals in the range of 10 - 50 millions dollars are the general things for fund.
The usual cause for the fund is to invest in rounds with 4 partakers. Despite the ADTRAN, startups are often financed by Imperial Innovations, Cambridge Capital Group, Cambridge Angels group. The meaningful sponsors for the fund in investment in the same round are IQ Capital, Etagra Group, Cambridge Angels group.
Among the most popular portfolio startups of the fund, we may highlight Cambridge Communication Systems. Among the most successful fund investment fields, there are Hardware, Software. 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 country of its foundation and the country of its the most frequent investments - United Kingdom.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 1
- Rounds per year
- 0.03
- Investments by industry
- Hardware (1)
- Software (1)
- Investments by region
-
- United Kingdom (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
- 11
- Group Appearance index
- 1.00
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 |
|---|
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.