Kernel Capital

Type

Venture Capital

Status

Active

Location

Cork, United Kingdom

Total investments

101

Average round size

2M

Portfolio companies

64

Rounds per year

4.04

Lead investments

11

Follow on index

0.24

Exits

12

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
BiotechnologySoftwareInformation TechnologyMobileHealth CareManufacturingSecurityMedicalSemiconductorElectronics

Summary

Kernel Capital is the famous VC, which was founded in 2011. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the San Mateo.

For fund there is no match between the country of its foundation and the country of its the most frequent investments - Ireland. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Intune Networks, Arralis, Datactics. The fund has no exact preference in a number of founders of portfolio startups. If startup sums 3 or 4 of the founder, the chance for it to be financed is low. We can highlight the next thriving fund investment areas, such as Information Technology, Big Data.

Besides them, we counted 21 critical employees of this fund in our database.

The usual things for fund are deals in the range of 1 - 5 millions dollars. When the investment is from Kernel Capital the average startup value is 5-10 millions dollars. The top activity for fund was in 2013. The higher amount of exits for fund were in 2019. The real fund results show that this VC is 14 percentage points less often commits exit comparing to other companies. Opposing the other organizations, this Kernel Capital works on 17 percentage points less the average amount of lead investments. The fund is constantly included in 2-6 deals per year.

The typical case for the fund is to invest in rounds with 2-3 participants. Despite the Kernel Capital, startups are often financed by Entrepreneurs Roundtable Accelerator, EASME - EU Executive Agency for SMEs, DCU Ryan Academy for Entrepreneurship. The meaningful sponsors for the fund in investment in the same round are Bank of Ireland Seed and Early Stage Equity fund, Enterprise Ireland, Act Venture Capital. In the next rounds fund is usually obtained by Enterprise Ireland, EASME - EU Executive Agency for SMEs, Act Venture Capital.

Show more

Investor highlights

Industry focus
Deep TechManufacturingAnalyticsAI/Big Data
Stage focus
GeneralistPre-SeedSeedSeries ASeries B Show 1 more
Geo focus
AlbaniaAndorraArmenia Show 84 more

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
101
Lead investments
11
Exits
12
Rounds per year
4.04
Follow on index
0.24
Investments by industry
  • Software (29)
  • Health Care (15)
  • Information Technology (15)
  • Biotechnology (12)
  • Manufacturing (12)
  • Show 101 more
Investments by region
  • Ireland (61)
  • United Kingdom (20)
  • France (3)
  • United States (3)
  • Canada (1)
Peak activity year
2012
Number of Minotaurs
1

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
13
Avg. valuation at time of investment
3M
Group Appearance index
0.77
Avg. company exit year
11
Avg. multiplicator
1.97
Strategy success index
0.10

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
B-Secur 15 Sep 2020 Health Care, Security, Biometrics Early Stage Venture 2M Northern Ireland, Belfast, United Kingdom
Code Institute 08 Jul 2016 EdTech, Higher Education, Training, Education Seed 590K County Dublin, Dublin, Ireland
How we get our data

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.