Kindler Capital
7
1M
3
0.57
1
- Stages of investment
- Areas of investment
Summary
Among the most popular portfolio startups of the fund, we may highlight VenueBook, Qloo. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular fund investment industries, there are Software, Artificial Intelligence. The fund has no exact preference in some founders of portfolio startups.
The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Kindler Capital, startups are often financed by Cedric the Entertainer. The meaningful sponsors for the fund in investment in the same round are Cedric the Entertainer, Victoria Grace, Tommy Thompson. In the next rounds fund is usually obtained by Victoria Grace, Tommy Thompson, Samih Toukan.
Deals in the range of 1 - 5 millions dollars are the general things for fund. The top activity for fund was in 2014. The fund is constantly included in less than 2 deals per year.
Investments analytics
Analytics
- Total investments
- 7
- Lead investments
- 0
- Exits
- 1
- Follow on index
- 0.57
- Investments by industry
- Developer APIs (4)
- Artificial Intelligence (4)
- Personalization (4)
- Machine Learning (4)
- Software (2) Show 8 more
- Investments by region
-
- United States (7)
- Peak activity year
- 2014
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
- 12
- Group Appearance index
- 0.71
- Avg. company exit year
- 10
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 |
|---|---|---|---|---|---|
| Qloo | 10 Aug 2014 | Artificial Intelligence, Machine Learning, Personalization, Developer APIs | Seed | 1M | United States, New York, New York |
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.