Glilot Capital Partners

Type

Venture Capital

Status

Active

Location

Herzliya, Israel

Total investments

91

Average round size

15M

Portfolio companies

50

Rounds per year

6.50

Lead investments

19

Follow on index

0.45

Exits

10

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareCyber SecurityNetwork SecuritySecurityComputerCloud Security

Summary

Glilot Capital Partners appeared to be the VC, which was created in 2011. The venture was found in Asia in Israel. The main department of described VC is located in the Herzliya.

Considering the real fund results, this VC is 26 percentage points more often commits exit comparing to other organizations. The common things for fund are deals in the range of 5 - 10 millions dollars. This Glilot Capital Partners works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The important activity for fund was in 2017. The increased amount of exits for fund were in 2019. The fund is constantly included in 2-6 investment rounds annually.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Glilot Capital Partners, startups are often financed by Sequoia Capital Israel, Giza Venture Capital, ff Venture Capital. The meaningful sponsors for the fund in investment in the same round are Flint Capital, Wipro Ventures, Maniv Mobility. In the next rounds fund is usually obtained by Flint Capital, Wipro Ventures, Blumberg Capital.

This organization was formed by Arik Kleinstein, Kobi Samboursky. We also calculated 2 valuable employees in our database.

Among the most popular portfolio startups of the fund, we may highlight Mintigo, Porticor Cloud Security, Inflowz. Among the most popular fund investment industries, there are Computer, Network Security. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. The fund has no exact preference in some founders of portfolio startups. If startup sums 4 or 5+ of the founder, the chance for it to be financed is low.

Show more

Investor highlights

Industry focus
CybersecurityAI/Big DataB2B/Enterprise
Stage focus
Series ASeries BSeed
Geo focus
GeneralistIsrael

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 220000000
Fund raised date
2022-03-28

Analytics

Total investments
91
Lead investments
19
Exits
10
Rounds per year
6.50
Follow on index
0.45
Investments by industry
  • Cyber Security (44)
  • Software (24)
  • SaaS (22)
  • Security (19)
  • Network Security (19)
  • Show 73 more
Investments by region
  • United States (49)
  • Israel (37)
Peak activity year
2022
Number of Unicorns
1
Number of Decacorns
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
5
Avg. valuation at time of investment
39M
Group Appearance index
0.82
Avg. company exit year
4
Avg. multiplicator
3.09
Strategy success index
0.20

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
Gomboc.ai 07 Aug 2023 Cyber Security, Cloud Infrastructure, Cloud Security Seed 5M United States, New York, New York
Hourly 21 Aug 2023 Financial Services, FinTech, Human Resources, InsurTech Early Stage Venture 27M United States, California, Palo Alto
Vayu 01 Feb 2016 Logistics, Aerospace, Drones, mHealth, Innovation Management Seed 25K United States, Michigan

Similar funds

By same location

By same geo focus

By doing lead investments

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.