Location TBC
Hosted by Agentic AI Alliance
The Agentic AI Summit in Toronto is the city's premier assembly for engineers, developers, and executives building production-ready agentic and generative AI systems. Scheduled for November 19, 2026, this focused, no-fluff event brings together Toronto's most influential AI builders for a day of deep technical exchange and strategic networking. Unlike sprawling trade shows filled with marketing noise, this summit is explicitly designed for practitioners — the engineers shipping AI agents, the researchers pushing boundaries, and the technical leaders scaling real-world deployments. The event co-locates three specialized tracks under one roof: the Agentic AI Summit exploring agent architectures and orchestration, the Generative AI Summit covering infrastructure and model operations, and the Headliners Stage featuring joint keynotes on core developments in both agentic and generative systems. What You'll Learn Attendees will tackle the most pressing challenges in deploying cost-effective, value-driving AI agents in production environments. Sessions cover critical blockers across infrastructure, data layer architecture, deployment pipelines, and regulatory compliance. You'll assess the latest applications and technology stacks through case studies from organizations like NVIDIA, OpenAI, Wealthsimple, Unity Health Toronto, RBC Group, and Vanguard. The technical programming explores agent orchestration patterns, hardware innovations enabling scalable multimodal applications, production tooling for generative systems, and real-world deployment architectures currently working in enterprise settings. Previous speakers have included Product Research Engineers from NVIDIA, GTM Systems Architects from OpenAI, and AI Solutions Leaders from global enterprises. Who Should Attend This summit targets machine learning engineers, AI researchers, data scientists, technical architects, and engineering leaders actively building or deploying agentic AI systems. Whether you're working with ChatGPT, Claude, or custom agent frameworks, you'll find practitioners solving similar challenges around model operations, cost optimization, and production scalability. Why Toronto Toronto's AI ecosystem has emerged as a global powerhous
