BDC Venture Capital

Type

CVC

Status

Active

Location

Montreal, Canada

Total investments

691

Average round size

8M

Portfolio companies

454

Rounds per year

14.10

Lead investments

52

Follow on index

0.34

Exits

131

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
BiotechnologyInternetSoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceHealth CareSaaSEnterprise Software

Summary

In 1975 was created BDC Venture Capital, which is appeared as VC. The leading representative office of defined VC is situated in the Montru00e9al. The venture was found in North America in Canada.

The fund was created by David Carman. The overall number of key employees were 19.

When the investment is from BDC Venture Capital the average startup value is 100-500 millions dollars. Comparing to the other companies, this BDC Venture Capital performs on 10 percentage points less the average number of lead investments. The common things for fund are deals in the range of 5 - 10 millions dollars. The high activity for fund was in 2016. Despite it in 2019 the fund had an activity. Considering the real fund results, this VC is 3 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 13-24 deals per year. The increased amount of exits for fund were in 2009.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the BDC Venture Capital, startups are often financed by HIGHLINEvc, MaRS Investment Accelerator Fund, Export Development Canada. The meaningful sponsors for the fund in investment in the same round are iNovia Capital, Fonds de solidaritu00e9 FTQ, Desjardins Venture Capital. In the next rounds fund is usually obtained by Ventures West, iNovia Capital, OMERS Ventures.

Among the most popular fund investment industries, there are E-Commerce, SaaS. For fund there is a match between the location of its establishment and the land of its numerous investments - Canada. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Celator Pharmaceuticals, Clementia Pharmaceuticals, GridPoint. The fund has no specific favorite 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.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistB2B/EnterpriseSalesMartech/AdtechFuture of Work Show 19 more
Geo focus
Canada

Discover reliable insights

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

Investments analytics

Analytics

Total investments
691
Lead investments
52
Exits
131
Rounds per year
14.10
Follow on index
0.34
Investments by industry
  • Software (243)
  • Information Technology (96)
  • Biotechnology (72)
  • Mobile (67)
  • Health Care (66)
  • Show 382 more
Investments by region
  • Canada (606)
  • United States (65)
  • Sweden (1)
  • United Kingdom (3)
  • Japan (2)
  • Show 1 more
Peak activity year
2016
Number of Unicorns
7
Number of Decacorns
7

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
15
Avg. valuation at time of investment
47M
Group Appearance index
0.72
Avg. company exit year
10
Avg. multiplicator
1.73
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
Encycle Therapeutics 01 Jan 2012 Biotechnology, Therapeutics, Chemical Seed Ontario, Old Toronto, Canada
Omy Laboratoires 11 Apr 2023 Early Stage Venture 11M Quebec, Quebec, 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.