Vanedge Capital

Type

Venture Capital

Status

Active

Location

Vancouver, Canada

Total investments

64

Average round size

30M

Portfolio companies

42

Rounds per year

4.57

Lead investments

12

Follow on index

0.34

Exits

13

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceMachine LearningMarketing AutomationBig DataComputerCRM

Summary

Vanedge Capital appeared to be the VC, which was created in 2010. The company was established in North America in Canada. The main office of represented VC is situated in the Vancouver.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Vanedge Capital, startups are often financed by Trident Capital, MaRS Investment Accelerator Fund, EPIC Ventures. The meaningful sponsors for the fund in investment in the same round are In-Q-Tel, Verizon Ventures, Nvidia GPU Ventures. In the next rounds fund is usually obtained by Verizon Ventures, Nvidia GPU Ventures, In-Q-Tel.

Among the most successful fund investment fields, there are Wearables, Information Technology. For fund there is no match between the location of its establishment and the land of its numerous investments - United States. The fund has specific favorite in a number of founders of portfolio startups. In case when startup counts 3 or 5+ of the founder, the chance for it to get the investment is meager. Among the various public portfolio startups of the fund, we may underline Echodyne, OmniSci, HyTrust Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

Besides them, we counted 4 critical employees of this fund in our database.

The fund is constantly included in 2-6 investment rounds annually. The top amount of exits for fund were in 2015. Deals in the range of 10 - 50 millions dollars are the general things for fund. The top activity for fund was in 2013. Despite it in 2019 the fund had an activity. Considering the real fund results, this VC is 26 percentage points more often commits exit comparing to other organizations. Comparing to the other companies, this Vanedge Capital performs on 0 percentage points less the average number of lead investments. When the investment is from Vanedge Capital the average startup value is 100-500 millions dollars.

Show more

Investor highlights

Industry focus
AnalyticsBiotech/Life SciencesCybersecurityB2B/EnterpriseMedia/Content
Stage focus
Series ASeries B
Check size
500K — 10M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 161000000

Analytics

Total investments
64
Lead investments
12
Exits
13
Rounds per year
4.57
Follow on index
0.34
Investments by industry
  • Software (37)
  • Artificial Intelligence (12)
  • Analytics (12)
  • Information Technology (12)
  • Mobile (11)
  • Show 83 more
Investments by region
  • United States (30)
  • Canada (34)
Peak activity year
2013
Number of Decacorns
1
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
10
Avg. valuation at time of investment
2B
Group Appearance index
0.80
Avg. company exit year
6
Avg. multiplicator
0.94

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
Autozen Technologies 21 Jun 2022 Marketplace Seed 5M British Columbia, Vancouver, Canada
#paid 26 Aug 2021 Marketing, Social Media, Social Media Marketing, Content Creators Early Stage Venture 15M Ontario, Old Toronto, Canada

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.