Scudder Kemper Investments

Total investments

3

Average round size

45M

Portfolio companies

3

Lead investments

1

Exits

1

Areas of investment
Venture CapitalInternetSoftwareFinancial ServicesFinanceDeliverySemiconductorDSPCommunications Infrastructure

Summary

Among the most popular fund investment industries, there are Semiconductor, Delivery. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight ApplianceWare.

The standard case for the fund is to invest in rounds with 7 partakers. The meaningful sponsors for the fund in investment in the same round are William Hambrecht, Vulcan, VantagePoint Capital Partners.

The common things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2000. Speaking about the real fund results, this VC is 13 percentage points more often commits exit comparing to other organizations. The fund is generally included in less than 2 deals every year. This Scudder Kemper Investments works on 4 percentage points more the average amount of lead investments comparing to the other organizations.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Exits
1
Investments by industry
  • Software (2)
  • DSP (1)
  • Internet (1)
  • Semiconductor (1)
  • Venture Capital (1)
  • Show 4 more
Investments by region
  • United States (3)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
24
Group Appearance index
1.00
Avg. company exit year
3

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
WR Hambrecht 07 Jun 2000 Venture Capital, Financial Services, Finance Late Stage Venture 83M United States, California, San Francisco
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.