iVisionary Ventures
1
11M
1
1
- Areas of investment
Summary
The venture was found in North America in United States. The leading representative office of defined VC is situated in the Lexington.
The top amount of exits for fund were in 2002. The common things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2001. The fund is constantly included in less than 2 investment rounds annually.
The current fund was established by Stephen Dawahare.
The usual cause for the fund is to invest in rounds with 3 partakers. Despite the iVisionary Ventures, startups are often financed by Intel, Goldman Sachs, Brentwood Venture Capital. The meaningful sponsors for the fund in investment in the same round are Mitsubishi UFJ Financial Group, Brentwood Venture Capital.
Among the most successful fund investment fields, there are Intellectual Property, Consumer Goods. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the various public portfolio startups of the fund, we may underline Antrim Design Systems For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Exits
- 1
- Investments by industry
- Intellectual Property (1)
- Software (1)
- Consumer Goods (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2001
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
- 24
- Group Appearance index
- 1.00
- Avg. company exit year
- 5
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.