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Margo Steines Margo Steines
Published on January 15, 2026

14 Top Engineering Companies in Toronto

Engineering firms in Toronto are powering innovation across industries from robotics to medical devices.

Ana Gore Ana Gore
Updated on November 11, 2025

12 Largest Companies in Toronto to Know

Ontario’s capital city is a key hub for some of the world’s largest companies.

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Mia Goulart Mia Goulart
Updated on May 07, 2026

20 Multinational Companies in Toronto to Know

From proptech to edtech, these multinational companies put the city on the map of major economic centers in North America.

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Ashley Bowden Ashley Bowden
Updated on May 05, 2026

38 Companies in Toronto to Know

These companies are helping fuel Toronto’s growing business scene.

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Mia Goulart Mia Goulart
Updated on May 05, 2026

13 Consulting Companies in Toronto to Know

Software development, cybersecurity — these are just a few of the areas where these companies offer support.

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Margo Steines Margo Steines
Updated on June 12, 2026

16 AI Companies in Toronto to Know

These companies are investing in emerging AI technologies across industries like hardware, logistics, consulting and more.

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Abel Rodriguez Abel Rodriguez
Updated on October 28, 2025

11 Cybersecurity Companies in Toronto to Know

Toronto is home to cybersecurity companies that provide managed security services and consumer protections like document redaction and VPN platforms.

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Margo Steines Margo Steines
Updated on April 13, 2026

17 Fintech Companies in Toronto to Know

These Toronto fintech companies offer software and services for both businesses and consumers.

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Olivia McClure Olivia McClure
Updated on April 21, 2026

42 Top Tech Companies in Toronto to Know

Toronto’s booming tech community is reshaping the city’s economic landscape. These are the companies leading the way.

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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop ML/AI systems and analytics to detect fraud and cyber attacks using transaction-level data. Collaborate with intelligence teams to identify breach techniques, build global detection tools, automate transaction risk decisions, conduct experiments, and communicate findings.
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Design, build, and maintain scalable data pipelines and ML model enablement at petabyte scale. Partner with data scientists to productionize features and models, ensure secure data governance, automate distributed workflows, implement testing/monitoring, and support incident response and performance tuning for fraud and identity risk systems.
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Design and develop scalable data science capabilities to assess merchant risk, including feature engineering, entity resolution, prototyping ML solutions, building Databricks/Spark workflows, validating and monitoring models, and collaborating with Product and Engineering in an Agile environment.