SAS

Total investments

1

Average round size

45M

Portfolio companies

1

Rounds per year

0.02

Areas of investment
AutomotiveConsumerWeb Browsers

Summary

SAS is the famous Corporate Investor, which was founded in 1976. The company was established in North America in United States. The main department of described Corporate Investor is located in the Cary.

The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2000. The usual things for fund are deals in the range of 10 - 50 millions dollars.

The standard case for the fund is to invest in rounds with 10 partakers. The meaningful sponsors for the fund in investment in the same round are Sun Microsystems, Point West Capital, Lex Service Plc.

The current fund was established by Gordon Ritter, John Sall.

Among the most successful fund investment fields, there are Consumer, Automotive. Moreover, a startup needs to be at the age of 11-15 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight carClub. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

Show more

Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.02
Investments by industry
  • Automotive (1)
  • Consumer (1)
  • Web Browsers (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
34
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
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.