About Us
All Day TA is a Toronto-based AI EdTech company focused on providing professors in higher education with a complete AI-powered teaching toolkit. Our platform combines an AI Assistant that provides instant, accurate answers to student questions with Intelligent Quiz technology that creates adaptive assessments from course content. We empower professors to enhance student learning and increase the availability of their expertise while maintaining complete control over their course materials.
Our Story
We are a professor-led venture founded on the belief that higher education could be more personalized if the constraints on professor attention were alleviated. The AI revolution affords that opportunity so long as we do it in accordance with established academic principles of professor knowledge and professor control.
Our founders, Kevin Bryan and Joshua Gans from the University of Toronto:
- Helped launch the world's first deep-learning accelerator at the Creative Destruction Lab a decade ago
- Authored two bestselling books on AI and business strategy and founded the NBER AI research program
- Have been developing and testing our core technology in real classrooms since 2022
- Are advisors to companies on AI all around the world
The Team
Kevin Bryan, CEO, is a strategic management professor at the University of Toronto who is chief economist of the Creative Destruction Lab (Toronto). An award-winning educator and prominent economist on social media, Kevin has vast experience working with AI startups and is the ‘go to’ person on the applications of large language models (LLMs) in research and education.
Joshua Gans, President & Chief Operating Officer, is a strategic management professor at the University of Toronto (UofT) and chief economist of the Creative Destruction Lab Global. He has decades of experience working with startups and is passionate about applications of large language models (LLMs) in education. Joshua Gans is the author of multiple books, most notably Entrepreneurship: Choice and Strategy, Prediction Machines, and Power and Prediction.
Andy Esteves, Chief Revenue Officer, is an experienced executive specializing in Sales and Growth across a variety of markets. Andy has spent the last 15 years focused on working with early to mid stage AI startups and has had 3 successful VC exits with Sequoia and Insights Partners backed companies.
Chelsea Kerr, Chief Product Officer, is an experienced product leader specializing in AI-driven product development. Chelsea has published research on technological tools for startup acquisition and brings deep expertise in design, digital accessibility, and product development for complex software solutions.
Moustafa Aly, Lead DevOps Engineer, graduated from the University of Toronto with a bachelor's degree in Computer Engineering. With over 8 years of professional experience, Moustafa is a well-seasoned full-stack software engineer with his current area of focus being platform/dev-ops work.
Gabriel Olivotto, Junior Software Engineer, works with the product team to translate the company’s vision into a functional platform. He is currently completing his Master's in Computer Engineering at the University of Waterloo with a specialization in AI.
