Toronto is a city of opportunity. As we’ve written many times before, the metropolis is home to numerous business centres, large corporations, banks, and institutions. Our city’s IT sector is also booming. Today, we’re going to talk about a well-known company that was founded right here in Toronto. We’re talking about TealBook, a company that develops an innovative platform for supplier data management. TealBook simplifies the work of businesses and entrepreneurs by optimizing procurement processes using artificial intelligence and machine learning. You can read more about the history of the company’s creation and development on the website toronto-future.com.
She Saw a Problem—She Found a Solution

Stephany Lapierre, who had a long career in the procurement sector, is considered the mother of TealBook. During her work, Lapierre saw that there was a persistent problem with outdated supplier data. This complicated the procurement process, and as a result, companies were losing valuable time and money.
TealBook was founded in Toronto in 2014. The company’s goal was to develop a platform that would provide organizations with access to high-quality, reliable supplier data. Incidentally, the name “TealBook” itself symbolizes the transparency and accessibility of information—precisely what the company’s clients strive for.
Initially, TealBook operated as a simple supplier database, but over time, they integrated artificial intelligence and machine learning to automate their processes.
The Company’s Growth
As is often the case with new things, TealBook wasn’t immediately embraced. In 2014, Stephany Lapierre faced the challenge of convincing potential clients that her company could truly help optimize their business operations.
Stephany began attracting investors, and consequently, the platform quickly gained popularity among large organizations. In addition, the company started collaborating with leading technology partners, such as SAP and Workday.
Over time, the company developed rapidly, gradually incorporating artificial intelligence, which optimized TealBook’s performance. In 2021, as part of its Series A funding round, the company raised $14.4 million. Just a few months later, it secured an additional $50 million in investments. TealBook’s investors included funds such as Ten Coves Capital, RTP Global, Royal Bank of Canada, and Workday Ventures.
It should be noted that these investments were directed toward the platform’s development, including marketing and expansion.
Today, TealBook has grown to the point where it collaborates with major players like SAP, Workday, JAGGAER, and EcoVadis.
Analysts assert that TealBook’s market success was driven by its novelty. The platform addressed the critical need for a process to collect, update, and analyze supplier information. Thanks to this, companies gain access to current and accurate data without the need for manual entry. The eventual integration of artificial intelligence allows the platform to analyze vast amounts of data, forecast client needs, and provide personalized recommendations for supplier selection.
As for machine learning, its algorithms are used to improve the search and classification of suppliers. This, of course, significantly reduces decision-making time and increases procurement efficiency.
In the 21st century, businesses cannot afford to operate with a 1990s mindset. Entrepreneurs and business leaders need to always keep their finger on the pulse and move forward. It is essential to master the newest technologies as they emerge. This is precisely the phenomenon of the TealBook platform. In 2014, Stephany Lapierre was not afraid to create a project that today helps thousands of companies conduct their business.
We hope you found this material insightful and have drawn your own conclusions.