Cisco Іnvestments

Type

CVC

Status

Active

Location

San Jose, United States

Total investments

369

Average round size

28M

Portfolio companies

139

Rounds per year

11.90

Lead investments

42

Follow on index

0.26

Exits

41

Areas of investment
SoftwareAnalyticsInformation TechnologyMachine LearningSaaSEnterprise SoftwareCyber SecurityNetwork SecuritySecurityInternet of Things

Summary

Cisco appeared to be the Corporate Investor, which was created in 1984. The fund was located in North America if to be more exact in United States. The leading representative office of defined Corporate Investor is situated in the San Jose.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in 7-12 deals per year. The real fund results show that this Corporate Investor is 4 percentage points more often commits exit comparing to other companies. The average startup value when the investment from Cisco is 100-500 millions dollars. The important activity for fund was in 2000. Despite it in 2019 the fund had an activity. The top amount of exits for fund were in 2015. Opposing the other organizations, this Cisco works on 13 percentage points more the average amount of lead investments.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Cisco, startups are often financed by Sequoia Capital, Pitango Venture Capital, New Enterprise Associates. The meaningful sponsors for the fund in investment in the same round are Comcast Ventures, Benchmark, Pitango Venture Capital. In the next rounds fund is usually obtained by Cisco Investments, 83North, Pitango Venture Capital.

Besides them, we counted 15 critical employees of this fund in our database.

Among the most popular portfolio startups of the fund, we may highlight MuleSoft, VMware, SiByte. For fund there is a 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 5+ of the founder, the chance for it to be financed is low. Among the most successful fund investment fields, there are Enterprise Software, Internet. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

Show more

Investor highlights

Industry focus
Cloud/InfrastructureProductivityAnalyticsB2B/EnterpriseIoT Show 2 more
Stage focus
Series ASeries B
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Analytics

Total investments
369
Lead investments
42
Exits
41
Rounds per year
11.90
Follow on index
0.26
Investments by industry
  • Software (96)
  • Information Technology (51)
  • Cyber Security (41)
  • Enterprise Software (36)
  • SaaS (30)
  • Show 168 more
Investments by region
  • United States (142)
  • Canada (8)
  • Israel (12)
  • Denmark (1)
  • France (2)
  • Show 10 more
Peak activity year
2000
Number of Unicorns
12
Number of Decacorns
12
Number of Minotaurs
3

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
Avg. valuation at time of investment
271M
Group Appearance index
0.10
Avg. company exit year
8
Avg. multiplicator
4.07
Strategy success index
0.90

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
Make My plate 01 Feb 2011 Health Care, Lifestyle, Nutrition Seed 150K Tel Aviv District, Tel Aviv-Yafo, Israel
Oort 05 Oct 2022 Cyber Security Early Stage Venture 11M United States, Massachusetts, Boston
strongDM 02 May 2024 Software, Security, Database Late Stage Venture 34M United States, California
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.