Walter Ventures
Venture Capital
Active
Montreal, Canada
15
31M
12
2.14
1
0.20
1
- Stages of investment
- Areas of investment
Investor highlights
- Industry generalist
- Yes
- Industry focus
- Stage focus
- Geo focus
- Check size
- 500K — 25M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 15
- Lead investments
- 1
- Exits
- 1
- Rounds per year
- 2.14
- Follow on index
- 0.20
- Investments by industry
- Health Care (5)
- Medical (3)
- Payments (3)
- Software (3)
- Health Diagnostics (2) Show 33 more
- Investments by region
-
- United States (4)
- Canada (5)
- Germany (2)
- South Korea (1)
- Switzerland (2) Show 1 more
- Peak activity year
- 2020
- 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
- 9
- Avg. valuation at time of investment
- 83M
- Group Appearance index
- 0.80
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 |
|---|---|---|---|---|---|
| bezahl | 20 Mar 2024 | Financial Services, Payments, Mobile Payments | Early Stage Venture | 25M | Nordrhein-Westfalen, Cologne, Germany |
| Humm.ly | 15 Oct 2018 | Mobile, Health Care, Wellness, Music, Alternative Medicine | Seed | 500K | United States, California, San Francisco |
| Incode Technologies | 24 Mar 2021 | Internet, Software, FinTech, Payments, Mobile Apps, Biometrics, Identity Management | Early Stage Venture | 25M | United States, California, San Francisco |
| LookIwasThere | 10 May 2016 | Travel, Tourism, Adventure Travel | Seed | 59K | Community of Madrid, Madrid, Spain |
Similar funds
By same location
By same geo focus
By doing lead investments
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.