Kernel Labs
3
2M
2
0.60
1
0.33
- Areas of investment
Summary
In 2016 was created Kernel Labs, which is appeared as Corporate Investor. The fund was located in North America if to be more exact in United States. The main office of represented Corporate Investor is situated in the Seattle.
The fund is constantly included in less than 2 investment rounds annually. The high activity for fund was in 2019. The usual things for fund are deals in the range of 1 - 5 millions dollars.
The typical case for the fund is to invest in rounds with 4 participants. The meaningful sponsors for the fund in investment in the same round are Tsingyuan Ventures, Qualcomm Ventures, Allen Institute for Artificial Intelligence.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. We can highlight the next thriving fund investment areas, such as Corporate Training, EdTech. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Blue Canoe Learning.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 1
- Rounds per year
- 0.60
- Follow on index
- 0.33
- Investments by industry
- B2B (2)
- EdTech (2)
- Artificial Intelligence (2)
- Corporate Training (2)
- Language Learning (2)
- Investments by region
-
- United States (3)
- Peak activity year
- 2017
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
- 5
- Group Appearance index
- 0.67
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 |
---|---|---|---|---|---|
Blue Canoe Learning | 26 Oct 2017 | B2B, Artificial Intelligence, Corporate Training, EdTech, Language Learning | Seed | 1M | United States, Washington, Bellevue |
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.