White Star Capital is a global multi-stage technology investment firm that invests in early- and growth-stage companies across sectors including software, fintech, digital assets, and artificial intelligence. With a presence across North America, Europe, the Middle East, and Asia, the firm supports founders building and scaling technology businesses across international markets.
You built and scaled a company prior to co-founding White Star Capital. What drew you from building businesses to backing other founders?
Part of it was a desire to help companies build with a global mindset from day one. Ludia succeeded because we were global from the outset. Our products were sold worldwide, which expanded our addressable market, user base and ultimately the profitability of the business. Back in 2007, that mindset was not common among Canadian entrepreneurs. Most were building more domestically, always with the U.S. in sight, but in technology, a lot of businesses were still thinking locally.
Building a venture capital firm is not that different from building an operating company. White Star was another entrepreneurial venture. When I was building Ludia between 2007 and 2013, Canada had only a handful of venture funds, making startup financing difficult. While White Star Capital originated as a seed investment vehicle in 2007, we established our institutional firm in 2013 to help support emerging technology ecosystems and entrepreneurs at a moment when cities like Montreal, Toronto, New York and London were beginning to establish themselves as technology hubs. At the time, innovation was still concentrated in places like Silicon Valley, China, India and Israel, and cities such as Montreal, Toronto, New York and London were not yet associated with technology success. We founded White Star at exactly the right moment to help build that venture ecosystem and support entrepreneurs.
Canada has long been strong in research and innovation, but commercializing that innovation has often been more difficult. What has changed over the past decade?
Historically, Canada lacked examples of large-scale technology companies being built domestically. We were always strong at innovation, research and development, but commercialization expertise was limited because the ecosystem and reference points were not there. That has changed significantly over the last decade. Companies like Shopify have been transformative for the Canadian ecosystem, while firms such as Cohere and Lightspeed have demonstrated what is possible.
A major driver has been the growth of venture capital and growth funding. Since 2010 or 2012, venture investment in Canada has increased from roughly $1-2 billion annually to $7-8 billion a year. Without that capital, it is very difficult to build a technology sector. Talented people remain in research roles rather than building companies with sales, marketing and commercial teams.
The innovation and talent were always here; historically, the missing ingredient was funding. Canada still trails the U.S. in some areas, but the environment today is dramatically different from 10 or 15 years ago. The challenge now is continuing to commercialize innovation at scale.
When you're evaluating a founder, what qualities tend to stand out most?
The best examples in our portfolio often develop deep expertise inside larger companies before identifying a problem or gap in the market and deciding to build something themselves. They usually combine technical expertise with strong business instincts and have the ability to attract exceptional people around them.
Most importantly, they're willing to take significant personal risk because they have conviction in what they're building.
What companies best illustrate the strength of Canada's technology ecosystem today?
Vention is a strong example. The founder came from the manufacturing world and left a successful career to solve a practical problem: making factory automation faster and easier to deploy. The company's platform allows manufacturers to design, automate and test systems in a simulation environment before deploying them in the real world. Today, Vention is what many would describe as a physical AI company, using AI and generative AI to power autonomous robots that can perform tasks such as bin picking and learn independently on the factory floor. The company expanded internationally very quickly, serves thousands of manufacturers globally, and is a great example of Canadian AI talent being applied to industrial challenges with worldwide relevance.
Another company that stands out is Flare, a cybersecurity business that uses AI-powered software to monitor activity on the dark web in real time. The company was founded in Montreal by a highly technical cybersecurity team that developed powerful algorithms to analyze dark web activity. The real acceleration came when the founder brought in a U.S.-based cybersecurity executive with deep commercialization experience. The technology remained Canadian, but the company attracted international management talent and raised capital in both Canada and the United States. That's something we're seeing more often today: Canadian companies bringing in experienced global operators to help build larger, enduring businesses rather than selling too early. Those leaders have seen bigger outcomes before and are often more willing to scale globally from Canada.
Silicon Valley remains the benchmark many people measure themselves against. Where do you think Canada's strongest technology ecosystems are today?
The Toronto-Waterloo corridor is probably Canada's strongest technology hub today. Beyond that, Montreal has established itself as a major centre for AI, while Vancouver has built significant strength in life sciences. Canada has several technology hubs with distinct areas of expertise.
The competition for talent remains a constant battle, particularly in AI, where talent is expensive. That said, attracting talent has become easier over time.
Many of the entrepreneurs behind Canada's biggest success stories are immigrants themselves. Talent will always be competitive, but Canada's values, quality of life and openness continue to make it an attractive destination for people from around the world.
As an investor evaluating new technologies every day, how do you distinguish between innovations with lasting potential and those driven primarily by hype?
We start by assessing the total addressable market for a product or technology, but what matters most is whether customers continue using it. In today's AI environment, many companies can acquire customers; fewer can retain them. Some churn after a few months, six months or a year. The key question is whether a product becomes genuinely embedded in a customer's workflow.
That's why we focus heavily on product stickiness and customer references. You can only assess that by looking closely at customer data and speaking directly with customers. It's a critical part of our investment process. Diversification is important as well. While we're a technology-focused fund, our portfolio spans different sectors, including robotics, healthcare and fintech. It's always difficult to predict winners with precision, so building a diversified portfolio remains an important part of the approach.
What concerns you most about Canada's future competitiveness, and what gives you the greatest reason for optimism?
One concern is ensuring regulation does not become too restrictive, particularly around AI. I'm supportive of safety and privacy, but regulation should not limit adoption. If Canada becomes overly restrictive while other countries move aggressively, we risk missing a major opportunity to improve productivity. Another concern is talent. Canada's ability to attract skilled people from around the world has been a competitive advantage, and maintaining that openness is critical for startups competing globally.
What keeps me optimistic is that Canada has built one of the world's leading AI research ecosystems through institutions such as Mila, Vector Institute and Alberta Machine Intelligence Institute. More importantly, we're now seeing researchers move beyond academia and build companies. Many of the problems Canadian startups are tackling—workforce shortages, industrial inefficiencies, financial access and healthcare delivery—are global challenges, creating significant opportunities to scale internationally.
What's the story behind the name White Star Capital?
The name comes from the White Star shipping line, one of the first commercial routes connecting Europe and North America. When we launched the firm, we described ourselves as a transatlantic venture fund, so we wanted a name that reflected that connection and our ambition to build bridges between those ecosystems.
The White Star Line was also the owner of the RMS Titanic, which is a useful reminder that in venture capital, you don't win them all. Some companies succeed, some fail, and that's part of the business.
