Oregon Enterprise Blockchain Venture Studio
3
2
1.50
0.33
- Stages of investment
- Areas of investment
Summary
In 2019 was created Oregon Enterprise Blockchain Venture Studio, which is appeared as VC. Oregon Enterprise Blockchain Venture Studio seemed to be an CVC arrangement as part of the organization.
The overall number of key employees were 1.
We can highlight the next thriving fund investment areas, such as Cyber Security, Blockchain. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Patientory, Chronicled.
The important activity for fund was in 2019. The fund is constantly included in 2-6 deals per year.
The standard case for the fund is to invest in rounds with 1-2 partakers. Despite the Oregon Enterprise Blockchain Venture Studio, startups are often financed by Streamlined Ventures, Thursday Ventures, The Perkins Fund. The meaningful sponsors for the fund in investment in the same round are R/GA Ventures. In the next rounds fund is usually obtained by R/GA Ventures.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Rounds per year
- 1.50
- Follow on index
- 0.33
- Investments by industry
- Health Care (3)
- Blockchain (3)
- Information Technology (2)
- Hospital (2)
- Cyber Security (2) Show 7 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2019
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
- 6
- 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 |
---|---|---|---|---|---|
Patientory | 05 Aug 2019 | Information Technology, Health Care, Hospital, Cyber Security, Blockchain | Seed | United States, Atlanta, Georgia |
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.