BridgeHampton Capital
1
4M
1
0.06
1
- Areas of investment
Summary
BridgeHampton Capital appeared to be the VC, which was created in 2005. The company was established in North America in United States. The main department of described VC is located in the Bridgehampton.
The common things for fund are deals in the range of 1 - 5 millions dollars. The higher amount of exits for fund were in 2009. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2010.
The typical case for the fund is to invest in rounds with 5 participants. The meaningful sponsors for the fund in investment in the same round are William Blair, Richard Howe, Charles Morgan.
Among the various public portfolio startups of the fund, we may underline Inuvo 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 Search Engine, Local. Besides, a startup needs to be aged 1 and less years to get the investment from the fund.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Exits
- 1
- Rounds per year
- 0.06
- Investments by industry
- Local (1)
- Advertising (1)
- Local Business (1)
- Search Engine (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2010
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
- 12
- 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 |
|---|
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.