Wasted Talent
1
4M
1
- Areas of investment
Summary
The main office of represented Corporate Investor is situated in the Vancouver. The company was established in North America in Canada.
The typical case for the fund is to invest in rounds with 10 participants. Despite the Wasted Talent, startups are often financed by Hertz Lichtenstein & Young. The meaningful sponsors for the fund in investment in the same round are memBrain LLC, Vinny Lingham, Vayner/RSE. In the next rounds fund is usually obtained by Upfront Ventures, M Ventures, Evolution Media.
The high activity for fund was in 2016. The fund is constantly included in less than 2 investment rounds annually. The common things for fund are deals in the range of 1 - 5 millions dollars.
Among the most popular portfolio startups of the fund, we may highlight Stem Disintermedia. Besides, a startup needs to be aged 1 and less years to get the investment from the fund. Among the most successful fund investment fields, there are Music, Video. For fund there is no match between the location of its establishment and the land of its numerous investments - United States.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Music (1)
- Software (1)
- Accounting (1)
- FinTech (1)
- Video (1) Show 1 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
- 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 |
---|---|---|---|---|---|
Stem Disintermedia | 26 Apr 2016 | Accounting, Internet, Software, FinTech, Music, Video | Seed | 4M | United States, California, Los Angeles |
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.