BDC Capital Women in Technology (WIT) Fund

Total investments

7

Average round size

6M

Portfolio companies

7

Lead investments

2

Exits

2

Areas of investment
SoftwareFinancial ServicesFinTechFinanceBankingMarketplaceInternet of ThingsSmart BuildingPublic SafetyFacilities Support Services

Summary

Among the most popular fund investment industries, there are Crowdsourcing, Indoor Positioning. Besides, a startup needs to be aged 11-15 years to get the investment from the fund. The fund has no exact preference in a number of founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. Among the most popular portfolio startups of the fund, we may highlight Lendified, InnerSpace, Plum.io.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the BDC Capital Women in Technology (WIT) Fund, startups are often financed by TIMIA Capital, Creative Destruction Lab, BDC Venture Capital. The meaningful sponsors for the fund in investment in the same round are Real Ventures, Zach Coelius, SAP.iO. In the next rounds fund is usually obtained by Windsor Private Capital, WD Capital Markets, Shoppers Drug Mart.

Speaking about the real fund results, this VC is 13 percentage points more often commits exit comparing to other organizations. The important activity for fund was in 2018. The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in 2-6 deals per year.

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Investments analytics

Analytics

Total investments
7
Lead investments
2
Exits
2
Investments by industry
  • Software (3)
  • FinTech (2)
  • Financial Services (2)
  • Marketplace (1)
  • Finance (1)
  • Show 27 more
Investments by region
  • Canada (7)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
9
Group Appearance index
1.00
Avg. company exit year
7

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Manifest Climate 31 Mar 2022 Software Early Stage Venture 23M Ontario, Toronto, Canada
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.