Strategic Cyber Ventures

Type

Venture Capital

Status

Active

Location

Washington, United States

Total investments

15

Average round size

7M

Portfolio companies

12

Rounds per year

1.88

Lead investments

4

Follow on index

0.20

Exits

1

Areas of investment
SoftwareInformation TechnologyCollaborationCyber SecurityNetwork SecuritySecurityComputerBitcoinCloud SecurityBusiness Information Systems

Summary

In 2016 was created Strategic Cyber Ventures, which is appeared as VC. The main office of represented VC is situated in the Washington. The fund was located in North America if to be more exact in United States.

The fund was created by Hank Thomas.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the Strategic Cyber Ventures, startups are often financed by The Hive, March Capital Partners, AllegisCyber. The meaningful sponsors for the fund in investment in the same round are The Hive, March Capital Partners, BRM Capital. In the next rounds fund is usually obtained by The Hive, TechOperators, Shasta Ventures.

Among the most popular portfolio startups of the fund, we may highlight ID DataWeb, Polarity, E8 Security. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most successful fund investment fields, there are Network Security, Software. The fund has no exact preference in a number of founders of portfolio startups. If startup sums 4 of the founder, the chance for it to be financed is low. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 5 - 10 millions dollars. Opposing the other organizations, this Strategic Cyber Ventures works on 12 percentage points less the average amount of lead investments. The increased amount of exits for fund were in 2018. The real fund results show that this VC is 47 percentage points more often commits exit comparing to other companies. The top activity for fund was in 2017. Despite it in 2019 the fund had an activity.

Show more

Investor highlights

Industry focus
Cybersecurity
Stage focus
Seed
Check size
Up to 10M

Discover reliable insights

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

Investments analytics

Analytics

Total investments
15
Lead investments
4
Exits
1
Rounds per year
1.88
Follow on index
0.20
Investments by industry
  • Software (8)
  • Cyber Security (7)
  • Security (6)
  • Network Security (5)
  • Cloud Security (4)
  • Show 22 more
Investments by region
  • United States (12)
  • Canada (1)
Peak activity year
2022

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
4
Avg. valuation at time of investment
1M
Group Appearance index
0.87
Avg. company exit year
5

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
AlayaCare 06 Jan 2020 Software, Health Care, Hospital, SaaS, Home Health Care Late Stage Venture 38M Quebec, Montreal, Canada
Polarity 12 Aug 2019 Software, Collaboration, Security, Computer, Business Information Systems Early Stage Venture 8M United States, Connecticut
Kapital Boost 12 Feb 2016 Financial Services, Crowdfunding Seed Central Region, Singapore, Singapore
LimaCharlie 08 Feb 2024 Information Technology, SaaS, Cyber Security, Network Security, Cloud Security Early Stage Venture 10M United States, California, Walnut
Proton.ai 01 May 2018 Artificial Intelligence, CRM, Sales Automation Seed United States, Massachusetts, Allston
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.