Echosat
1
24M
1
0.02
1
- Areas of investment
Summary
Echosat is the famous Corporate Investor, which was founded in 1973. The company was established in North America in United States. The main office of represented Corporate Investor is situated in the Lexington.
The usual cause for the fund is to invest in rounds with 10 partakers. The meaningful sponsors for the fund in investment in the same round are Wavepoint Ventures, Texas Instruments, STMicroelectronics.
The typical startup value when the investment from Echosat is 50-100 millions dollars. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 investment rounds annually. The high activity for fund was in 2003.
Among the most successful fund investment fields, there are Network Hardware, Manufacturing.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Exits
- 1
- Rounds per year
- 0.02
- Investments by industry
- Consumer Electronics (1)
- Electronics (1)
- Manufacturing (1)
- Network Hardware (1)
- Semiconductor (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2003
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
- 21
- Group Appearance index
- 1.00
- Avg. company exit year
- 7
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 |
|---|---|---|---|---|---|
| RF Magic | 24 Oct 2003 | Manufacturing, Semiconductor, Consumer Electronics, Electronics, Network Hardware | Late Stage Venture | 24M | United States, California, San Diego |
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.