CDL-Toronto is located at the Rotman School of Management at the University of Toronto. Launched in 2012, it was the first CDL location established and was the brainchild created by the need to merge science-based projects with business expertise to create massively scalable ventures. It currently offers seven streams: Prime, Artificial Intelligence, Blockchain-AI, Cities, Health, Quantum, and Space. The QML stream is the latest initiative, varying from CDL-Toronto’s other streams in that it offers accepted applicants access to capital, working space, and quantum computing resources from technology partners D-Wave Systems and Rigetti.  

 

Situated in the Toronto-Waterloo tech corridor, CDL-Toronto provides startups with access to business development support from top business students at the Rotman School of Management, funding from leading VC firms, and resources to scale.

Prime

The general technology or “Prime” stream includes startups in an array of industries with deep-science and technology innovations. The Prime stream is industry agnostic, with startups tackling problems in healthcare, finance, energy, chemical, media, transportation, and agriculture sectors, amongst others. Technologies in the Prime stream include advanced engineering, electronics, blockchain, nanotech, neuroscience, and general IT applications.

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Artificial Intelligence

CDL-Toronto’s AI stream was launched in 2015 and was the first program in the world to focus exclusively on massively scalable artificial intelligence and machine learning-driven startups. CDL-Toronto’s AI/ML stream connects startups to the University of Toronto, University of Waterloo and the newly formed Vector Institute for Artificial Intelligence founded by Geoffrey Hinton, the “Godfather of AI.”

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Blockchain-AI

The Blockchain-AI program brings together experienced entrepreneurs, angel investors and a community of visionaries in the fields of blockchain and AI. Blockchain-AI Program startups work with these mentors to sharpen objectives, prioritize time and resources, raise capital, and engage with experts working on the frontiers of research. Participants also receive US$100k equity investment from investment partners, office space in downtown Toronto, and intensive technical training from industry and academic leaders in AI, blockchain, and crypto-economics.

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Cities

The Cities Stream operates from one of the world’s most diverse cities and a hub of urban innovation. The Stream brings together experienced entrepreneurs, investors, urban planning and construction experts, and scientists active in a range of fields relevant to urban innovation and ‘smart city’ technologies. CDL startups work with these mentors to sharpen objectives, prioritize time and resources, raise capital, and engage with experts working on the frontiers of research. Participating founders will be connected with urban planners and real estate developers to explore pilot project opportunities.

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Health

The Health Stream serves ambitious teams with strong backgrounds in chemical, biological, medical, materials, mechanical, electrical, and computer engineering who are working on projects and technologies with the potential to meaningfully enhance human health and wellness. This Stream is tailored towards early-stage companies (early venture or growth) or even projects (pre-incorporation) however, startups at all levels of maturity will be considered.

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Quantum

The Quantum stream is the first of its kind and provides applicants with access to technical training, capital, and quantum computing resources from Rigetti and D-Wave Systems. Technical education will also be provided by Dr. Peter Wittek, author of the first textbook on quantum machine learning. Individuals/teams with a strong background in physics, math, statistics, machine learning, and/or electrical engineering and a keen interest in quantum computing are encouraged to apply.

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Space

The Space Stream brings together astronauts, entrepreneurs, investors, and scientists from fields related to space exploration and transportation, satellite communications, and robotics. CDL startups work with these mentors to sharpen objectives, prioritize time and resources, raise capital, and engage with experts working on the frontiers of research.

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