Stanley Park Ventures
5
860K
5
0.71
3
- Stages of investment
- Areas of investment
Summary
In 2014 was created Stanley Park Ventures, which is appeared as VC. The main department of described VC is located in the Vancouver. The company was established in North America in Canada.
The usual cause for the fund is to invest in rounds with 5-6 partakers. The meaningful sponsors for the fund in investment in the same round are Paul Geyer, Pallasite Ventures, Mobio Technologies. In the next rounds fund is usually obtained by Scott Lake, Rashay Jethalal, Power Financial Corporation.
The overall number of key employees were 3.
Among the most popular fund investment industries, there are Financial Services, Wellness.
The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is generally included in less than 2 deals every year. The top activity for fund was in 2015.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 0
- Exits
- 3
- Rounds per year
- 0.71
- Investments by industry
- Finance (2)
- Financial Services (2)
- FinTech (2)
- Wellness (2)
- Health Care (2) Show 7 more
- Investments by region
-
- Canada (4)
- United States (1)
- Peak activity year
- 2017
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
- 6
- Avg. valuation at time of investment
- 41M
- Group Appearance index
- 0.80
- Avg. company exit year
- 3
- Avg. multiplicator
- 0.46
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 |
|---|---|---|---|---|---|
| 28 May 2015 | Financial Services, FinTech, Payments, Finance, Mobile Payments, Personal Finance | Seed | 1M | Ontario, Old Toronto, Canada |
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.