Berger Funds
2
65M
2
1
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 10 participants. Despite the Berger Funds, startups are often financed by The Carlyle Group, New Enterprise Associates, U.S. Venture Partners (USVP). The meaningful sponsors for the fund in investment in the same round are Wheatley Partners, GE Capital, WR Hambrecht. In the next rounds fund is usually obtained by Oreilly AlphaTech Ventures.
When the investment is from Berger Funds the average startup value is 100-500 millions dollars. The top activity for fund was in 2001. The common things for fund are deals in the range of 50 - 100 millions dollars. The fund is generally included in less than 2 deals every year. The higher amount of exits for fund were in 2003.
Among the most popular portfolio startups of the fund, we may highlight LuxN, Cidera. Among the most successful fund investment fields, there are Logistics, Transportation. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Exits
- 1
- Investments by industry
- Internet (1)
- Content (1)
- Logistics (1)
- Enterprise Software (1)
- Service Industry (1) Show 1 more
- Investments by region
-
- United States (2)
- 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
- 23
- Avg. valuation at time of investment
- 156M
- Group Appearance index
- 1.00
- Avg. company exit year
- 4
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.