Candou Ventures

Type

Venture Capital

Status

Active

Location

Palo Alto, United States

Total investments

12

Average round size

14M

Portfolio companies

11

Rounds per year

1.50

Follow on index

0.08

Stages of investment
Seed
Areas of investment
Educational SoftwareOther Services (B2C Non-Financial)Information Services (B2C)E-CommerceInternetSoftwareAnalyticsArtificial IntelligencePaaSE-Commerce Platforms

Investor highlights

Industry focus
Blockchain/Crypto/Web3AI/Big DataB2B/EnterpriseCloud/InfrastructureIoT
Stage focus
Seed
Check size
500K — 1M

Discover reliable insights

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

Investments analytics

Analytics

Total investments
12
Lead investments
0
Rounds per year
1.50
Follow on index
0.08
Investments by industry
  • Software (3)
  • Artificial Intelligence (3)
  • Internet (2)
  • E-Commerce (2)
  • Analytics (2)
  • Show 25 more
Investments by region
  • United States (11)
  • Canada (1)
Peak activity year
2021
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
260M
Group Appearance index
0.83
Strategy success index
0.70

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
ApplyBoard 04 May 2020 Educational Software, Other Services (B2C Non-Financial), Educational and Training Services (B2C), Information Services (B2C), Internet, Software, Enterprise Software, EdTech, PaaS, E-Commerce Platforms Late Stage Venture 75M Ontario, Waterloo, Canada
Exotanium 13 Sep 2023 Early Stage Venture 15M United States, New York, Ithaca

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.