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Relevant and flexible education, designed for you and your venture and delivered by world-class faculty and entrepreneurs.
Tap into the NEXT network of investors, business leaders, media, and a peer network of founders facing the same challenges as you.
Gain opportunities to pitch to investors and network with top entrepreneurs and potential customers.
Select teams may be able to enhance their Next Founders experience through programming delivered by NextAI - Canada's first accelerator for artificial intelligence startups.
Complimentary products and services from our partners, including cloud hosting, legal support and work space.
Meet top angel investors and venture capitalists.
This course provides an introduction to applied economics in the context of innovation and strategy that is relevant to entrepreneurship and early stage ventures. We workshop each venture and address questions such as: How can the 'lean' approach to startups be applied to your venture? Why might markets that are subject to increasing returns be likely to exhibit 'extreme competition' and what are the implications for your venture? How might your venture employ 'judo strategy' to exploit the normally advantageous size of large competitors? How might your venture be able to exploit the well-known 'innovator's dilemma' to compete with established competitors? To what extent are clever strategic tactics congruent with overall welfare for humankind? We will explore such questions through the lens of economic theory, apply the concepts in the context of case analyses, and discuss implications for corporate strategy.
This course offers an introduction to the political economy of international business. The motivation for the course is to explore the nonmarket strategies employed by firms to compete in international trade. Nonmarket strategy involves political, legal and economic efforts by firms to reshape the rules of competition. With the 'visible hand' of governments very much evident in today's global economy, nonmarket strategy plays a key role in supporting a firm's market strategy. The course surveys topics in international trade with an eye to the nonmarket challenges that firms confront in 'going global.' The course looks at issues ranging from protectionism to obligations under the World Trade Organization and the growing number of preferential trade agreements that often extend more stringent rules than the multilateral system.
The objective of this course is to accelerate your progress in the program and expose you to the process of experimentation at the business, strategic and ecosystem level. We will start by taking the perspective of your potential early-adopters: is their current behaviour consistent with your assumptions about how your product or service can deliver value to them? Will your offering be compelling enough for them to change their behaviour? We will learn how to formulate testable and precise hypotheses, and experiments to test them. Next, we will discuss how different types of experimentation can ultimately help you scale your venture, and how you can develop a robust entrepreneurial strategy to maximize learning. From the theory we will then turn to the phenomena, and focus on two technologies that lower the cost of experimentation in the economy, opening new opportunities and challenges for entrepreneurs: crowdfunding and the Bitcoin blockchain.
This course will examine the elements of digital strategy for entrepreneurs. Its focus will be on how to understand your competition, how to build on network effects, what the differences between a platform, disruptive, competitive and collaborative strategy are and when they should be used. It will also present the economics of app pricing; how to price an app, pricing options and innovations, freemium and two-sided markets.
This course explores how to collect, analyze, and present market intelligence. The purpose of the course is to prepare you to conduct proof-of-concept studies and to undertake effective experiments. We will cover five topics: (1) study design, (2) segmentation, (3) experiments, (4) interpreting correlations, and (5) communicating data. The underlying objective is to understand your target customers and assess whether their interests and behaviour are consistent with assumptions behind your business model.
This class examines the elements of financing a startup, focusing on technology-based startup ventures, and the early stages of company development. It addresses key questions which challenge all entrepreneurs: how much money can and should be raised; when should it be raised and from whom; what is a reasonable valuation of the company; and how funding should be structured. The course is primarily aimed to prepare students for these decisions as entrepreneurs but also examines issues from the perspective of venture capitalists, so that students can learn to effectively pitch their financing strategy to VC and Angel investors.
This course focuses on the challenging and important economic issues associated with recognizing, growing and valuing new ventures. The course explores the analytical techniques needed to recognize emerging business opportunities; understand the various financing choices; apply valuation methodologies; develop a marketable business plan; manage growth in a rapidly evolving environment; and successfully monetize the value of a business. Students will develop a framework within which to analyze whether a business idea is worth pursuing and a methodology to enable them to apply financial economic principles in ways that add to the value of an entrepreneurial undertaking.
Machine learning (ML) is a paradigm shift across many sectors because it proposes the automatic construction of artificially intelligent systems that are human-like in ability to perform and adapt. It has already made well-publicized breakthroughs in transforming massive amounts of unstructured data into commercially-relevant products and services. Accordingly, the major internet giants have made recent acquisitions and investments in this space as they expand their capacity in AI. A recent study by Bloomberg Beta estimated over 2,500 startup companies also working in AI and ML.
This course will begin by introducing the core principles of machine learning. It will then focus on Deep Learning: techniques that learn multiple layers of representation. It will review core approaches for supervised learning: deep neural networks, backpropagation, and optimization methods. It will also review unsupervised learning techniques, including recent advances in deep generative models.
A central challenge in automated visual reasoning is that of untangling the many factors of variation that explain an image or video: both nuisance factors (e.g. lighting, scale, camera angle) and variables of interest (e.g. person or object identity). Historically, practitioners relied on an engineered feature extraction pipeline, usually containing multiple stages of processing combined with simple machine learning techniques. Recently, Deep Learning methods have transformed the field producing winning entries to myriad competitions as well as industrial applications.
This course will review the foundations of Deep Learning applied to vision including contemporary convolutional network architectures. Leading experts in the field will discuss the most relevant application areas, including object detection, structured prediction, large-scale classification and hardware acceleration, video, multi-modal and multi-task learning, and regression methods for localization. The course will also highlight the most frequently used practical development libraries and tools.
Applications of Natural Language Processing (NLP) systems are everywhere: web search, translation services, and recommender systems, are only a few examples. Understanding language is not just the core to so many products and services, it is a critical component of building strong AI systems. NLP is one area which has been deeply affected by the recent advances in Deep Learning. This course will review NLP fundamentals as well as cutting-edge models fueled by DL. Topics include word embeddings, recurrent neural network models, encoder-decoder architectures, attention models, architectures with external memories, and multimodal learning, including image and video captioning systems.
This course explores practical aspects of Machine Learning in industrial settings. It will explore the interaction between software and hardware, specifically Graphics Processing Units (GPUs) and other hardware accelerators which have been critical to scaling up ML. It will cover best practices for ML developers, such as model search, debugging, and visualization. Short and long-term ethics and implications of strong AI will form a key discussion point. Machine Learning Systems have a larger system-level complexity than traditional software-based systems and thus have the potential to incur massive ongoing maintenance costs. The course will also explore the challenges and best practices of building and deploying large-scale ML systems.
Mara does empirical research in the areas of Industrial Organization and Organizational Economics. At a broad level, Mara studies how companies compete and how they organize themselves for competitive advantage. She is best known for her research on loyalty programs and vertical integration. Much of her work has been focused on the airline industry and she is recognized as an expert in this area. Her work has been published in the American Economic Review, the RAND Journal of Economics and the Review of Economics and Statistics, among others. On the teaching side, Mara delivers courses on strategy, data analytics, and business problem-solving in Rotman’s MBA and Executive Education programs.
You can't build a great business without the support of a community of other entrepreneurs, mentors, investors and advisors. The Next 36 is backed by over 300 of Canada's top business leaders, who are committed to making Canada more prosperous by supporting promising entrepreneurs like you. Throughout the program, you will have opportunities to meet people who could become clients, investors and connectors for your venture.
The relationships you build during the program last a lifetime. The Next 36 alumni stay in touch with their mentors, start new ventures with their peers, raise new rounds from investors, and develop lasting friendships. Our alumni community will become an important place to go for advice, support and feedback for new ideas.
Legal Advice from Osler, Hoskin & Harcourt LLP on topics including: intellectual property, term sheets, human resources and privacy law.
Cloud Hosting from Amazon Web Services (up to $15,000).
Professional services from EY, including help with accounting, finance, media and funding needs.
Work Space during the summer for select ventures, provided by the DMZ.
Software from Mathworks.
Cloud computing from Microsoft BizSpark (up to $10,000 monthly for 12 months).
NEXT Canada entrepreneurs can fast track to the interview stage when they apply for a Techstars Accelerator.
Next Founders is a program that accelerates the growth of Canada’s most promising entrepreneurs by providing mentorship, access to capital, and unparalleled founder development. We want to help scale both the founder and their business. It is one of three programs delivered by NEXT Canada, which launched in 2010 and is now supported nationally by over 300 entrepreneurs and business leaders.
We believe in a founder development model. After an intense Immersion Block, optional programming is delivered throughout the summer. This is customized education taught by Canada's most successful entrepreneurs and award-winning global faculty. You will also be exposed to an extraordinary community of investors and peers.
There is no cost to participate in Next Founders, which is delivered by NEXT Canada, a charity supported through the generosity of Canadian business leaders, entrepreneurs and government partners.
Next Founders provides no direct funding, however you will receive introductions, and have the opportunity to pitch to our extensive network of investors.
No. Next Founders takes no equity in your venture.
Financial support to assist with transportation to Toronto for classes are available for eligible founders travelling from outside Ontario. Financial need will be assessed on a case-by-case basis – to learn more, contact Olivia at info@thenextfounders.ca
Yes, you will have the opportunity to hot desk from NEXT Canada headquarters for the duration of the program.
Next Founders - is for founders of seed/growth stage ventures with significant traction who are looking to scale.
Next 36 - is for founders of existing ventures or anyone who wants to build a new company with global impact. Existing ventures should be idea/early stage and pre-seed investment. It is focused on students and recent grads.
NextAI - is an accelerator program for early-stage AI-enabled ventures or individuals and teams looking to commercialize research and launch something new. It is for students, grads, researchers and industry professionals. Each team must have at least one founder with deep expertise in an AI-related field.
The program runs from early May to mid-August and consists of a Founder Immersion Week in mid to late May which includes foundational courses tailored to your business, plus events and optional workshops. Additional programming is spread out over the remainder of the summer and you are encouraged to attend as much as you are able. Next Founders charges no tuition and takes no equity in your venture.
When you apply, we will ask you what you and your venture needs most. We have a vast network and are often able to customize content to the needs of our founders.
While no formal mentorship is provided, you will have plenty of opportunity to build relationships with the business leaders, entrepreneurs and investors you meet at Next Founders events. You will also be provided direct access to dozens of advisors and subject matter experts in areas ranging from branding to intellectual property to venture finance.
No. This program is not designed for remote participation. Direct contact with faculty, guest speakers and interaction with other participants is a key part of the program.
As an individual. We want your venture to succeed but our focus is on accelerating the entrepreneur. Multiple co-founders from the same venture may apply if they will benefit from the program and can add value. All applicants will be evaluated individually.
Yes. You will have to demonstrate in your application that you are an entrepreneur with a high growth / high margin venture who will be a valuable addition to Next Founders community.
Yes. While Next Founders is designed for those without formal business education, the right founder with a business degree will find the tailored curriculum invaluable.
Generally, yes. Next Founders is designed to be customizable, flexible and complementary to other accelerators and incubators. You should expect to spend a full-time Immersion Week in Toronto in mid May plus 3-4 other blocks over the course of the summer. So long as you can make all required programming, you can also participate in a second program. Just remember, the more you put into Next Founders, the more you will get out of it.
The program is open to Canadian citizens, permanent residents and those in the process of immigrating to Canada. If you are in the process of applying for Permanent Resident status, we will accept a notarized statement to this effect. If you intend to provide a notarized statement, please email Olivia at info@thenextfounders.ca in advance of completing the first stage of the application.
No. Next Founders is only for Canadians citizens or founders with businesses already incorporated in Canada. If you are the founder of an early stage AI-enabled business, you may want to apply for NextAI. Successful NextAI applicants are eligible for assistance through the SUP
No. All applicants will be assessed based on the potential of the applicant and his or her venture. In previous years, many of the participants had raised a significant seed round, completed a crowdfunding campaign or were earning revenue.
Leveraging the power of AI for drug discovery, Atomwise designs new molecules for the most difficult targets, helping their partners deliver better medicines faster.
"NEXT Canada had a tremendous impact on my development as a founder. I was exposed to big thinkers, domain experts and an impressive circle of peers that continue to motivate me and help me grow my business.”
‐ Abraham Heifets, Co-founder, AtomwiseCreator media platform #paid connects social media influencers and massive brands including Coca-Cola, Ikea and Visa to deliver authentic content designed to inspire consumer behaviour.
“Next Founders' flexible schedule allowed me to run my business and grow as a founder at the same time."
‐ Byran Gold, Co-founder, #PaidSampler is digitizing the product sampling experience, working with brands like Ritz, Garnier, L’Oréal, Unilever and more to deliver samples directly into the hands of their target markets.
As a sole founder, this program gave me an incredible opportunity to connect with founders from across Canada who were dealing with similar challenges.
‐ Marie Chevrier, Founder, SamplerFounder and CEO, Hubba
Founder and Executive Chair, Just Energy Group
Director of Operations, Shopify Toronto
General Partner, Real Ventures
Co-Founder and CEO, Wave
Director, Investments & Partnerships at Sidewalk Labs
CEO and Co-Founder, Busbud
Assistant Professor of Technological Innovation, Entrepreneurship, and Strategic Management, Sloan School of Management
Chair, NEXT Canada Investment Committee; SVP Strategy and Corporate Development, Wave
Scale Expert, Multi-Exit Entrepreneur
Managing Director, Strategic Investments and Women in Technology Venture Fund, BDC Capital