Camtech
1
3M
1
- Areas of investment
Summary
The venture was found in North America in United States. The main office of represented VC is situated in the Palo Alto.
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 Pharmaceutical, Health Care. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Greenteaspoon.
When the investment is from Camtech the average startup value is 5-10 millions dollars. The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2015.
The usual cause for the fund is to invest in rounds with 2 partakers. The meaningful sponsors for the fund in investment in the same round are Horizons Ventures.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Therapeutics (1)
- Health Care (1)
- Pharmaceutical (1)
- Biotechnology (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2015
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
- 9
- Avg. valuation at time of investment
- 5M
- 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 |
---|---|---|---|---|---|
Greenteaspoon | 01 Mar 2015 | Biotechnology, Health Care, Pharmaceutical, Therapeutics | Seed | 3M | United States, California, Palo Alto |
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.