Seattle Northwest Securities
1
14M
1
- Areas of investment
Summary
The fund was located in North America if to be more exact in United States. The main office of represented Corporate Investor is situated in the Seattle.
The typical case for the fund is to invest in rounds with 6 participants. Despite the Seattle Northwest Securities, startups are often financed by Washington Mutual. The meaningful sponsors for the fund in investment in the same round are Washington Mutual, Madrona Venture Group, Encompass Ventures.
The common things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2000. The fund is generally included in less than 2 deals every year.
Among the most popular portfolio startups of the fund, we may highlight Keystroke.com. Moreover, a startup needs to be at the age of 4-5 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. We can highlight the next thriving fund investment areas, such as Lending, Service Industry.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Lending (1)
- Internet (1)
- Service Industry (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2000
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
- 26
- 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 |
|---|---|---|---|---|---|
| Keystroke.com | 21 Mar 2000 | Internet, Lending, Service Industry | Early Stage Venture | 14M | United States, Washington, Seattle |
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.