Valentis Capital
1
7M
1
- Areas of investment
Summary
The standard case for the fund is to invest in rounds with 4 partakers. Despite the Valentis Capital, startups are often financed by Panacea Capital Advisors, Select Venture Partners, Howard Teich. The meaningful sponsors for the fund in investment in the same round are Select Venture Partners, Panacea Capital Advisors, Matador Capital Partners. In the next rounds fund is usually obtained by Zachary Snader.
The usual things for fund are deals in the range of 5 - 10 millions dollars. The important activity for fund was in 2016. The fund is constantly included in less than 2 investment rounds annually.
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 Geostellar. Among the most popular fund investment industries, there are Solar, Big Data.
The fund was created by John Leo Valentine.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Biofuel (1)
- Big Data (1)
- Analytics (1)
- Clean Energy (1)
- Location Based Services (1) Show 2 more
- Investments by region
-
- United States (1)
- Peak activity year
- 2016
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
- 10
- 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 |
|---|---|---|---|---|---|
| Geostellar | 11 Oct 2016 | Analytics, Big Data, Solar, Location Based Services, Clean Energy, Geospatial, Biofuel | Late Stage Venture | 7M | United States, West Virginia |
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.