2026 Canadian Food Summit

About This Event

The Summit is scheduled for June 10 to 12, 2026 at Hilton Mississauga / Meadowvale in Mississauga, Ontario. CIFST is also marking a major milestone in 2026: 75 years of advancing food science and technology in Canada. For CPAI readers, the Summit is relevant because food manufacturing is a practical, high-stakes environment where AI, automation, quality systems, traceability, sustainability, and regulatory responsibility have to work together in real operations.

• Format: In-person national conference and summit.
• Best for: Food scientists, food technologists, R&D teams, quality and regulatory leaders, food manufacturing executives, academic researchers, students, sustainability teams, and industrial AI practitioners interested in food systems.
• Core themes: Food science, applied research, sustainability, public policy, product development, AI in food production, AI in product development, and food sector resilience.
• CPAI relevance: Food production is a real-world operating environment where practical AI must address safety, quality, traceability, governance, and human decision-making.

Why this topic matters

Food manufacturing is one of the clearest examples of why AI adoption cannot be separated from domain expertise. A useful AI system in food production must respect product safety, sensory quality, regulatory expectations, ingredient variability, process control, shelf life, packaging, supply chains, and consumer trust. These are not abstract issues. They shape whether a new tool can be used responsibly on a production floor, in a lab, or in a quality program.

The official Summit page specifically names the growing role of AI in food innovation and includes a keynote titled “The Future of AI in Food Manufacturing: From Detection to Intuitive Automation.” That makes this event especially relevant for teams thinking about how AI can move from isolated pilots into food-sector workflows where reliability, validation, and governance matter.

• Food systems need practical AI: AI can support detection, inspection, product development, demand planning, traceability, and process improvement, but only when it is grounded in food science and operational constraints.
• Quality and safety are non-negotiable: Food-sector AI must be evaluated with strong attention to risk, documentation, accountability, and regulatory context.
• Sustainability is an operational problem: Waste reduction, resource efficiency, resilient supply chains, and product reformulation require both scientific knowledge and practical implementation capacity.
• AI adoption depends on collaboration: Industry, government, academia, technical vendors, and quality leaders all influence what can be trusted and scaled.
• Product innovation is becoming data-rich: R&D teams increasingly need to understand how data, automation, and AI-assisted experimentation can improve development without weakening scientific rigor.

What participants can expect

CIFST describes the Summit as a national conference with plenary sessions, technical presentations, facilitated discussions, posters, exhibits, networking, receptions, and a program connecting strategic insight with practical takeaways. The official program page notes that the detailed program is subject to change as details are finalized, so visitors should check the CIFST site for the latest agenda before registering or traveling.

The official Summit page names two keynote presentations. Dana McCauley, CEO of the Canadian Food Innovation Network, is listed for “The Next 75 Years: Strategies for Securing Canada’s Food Sector Success.” Amir Abou, founder of SenseForge, is listed for “The Future of AI in Food Manufacturing: From Detection to Intuitive Automation.” Those keynote topics create a useful bridge between broad food-sector strategy and the more technical question of how AI may support manufacturing workflows.

• Plenary and keynote sessions focused on food-sector strategy, innovation, and the future of Canadian food systems.
• Technical presentations and applied research discussions across government, academia, and industry.
• Poster and exhibit programming included in full delegate and student registration categories according to the official registration page.
• Networking opportunities with food science professionals, policy stakeholders, researchers, quality leaders, executives, innovators, and students.
• Discussion of sustainability, resilience, scientific issues, public policy, and AI opportunities in food production and product development.

Who should attend

The official Summit page says the event is designed for food scientists and technologists, R&D and product development professionals, quality assurance and regulatory leaders, government policy makers and regulators, academic researchers and students, industry executives and innovators, sustainability professionals, and supply chain professionals. CPAI would add that the event may also be useful for AI and automation teams that want to understand the real constraints of food-sector deployment.

• Food science and R&D teams: Useful for understanding applied research, emerging trends, product development priorities, and how AI may influence future innovation practices.
• Quality assurance and regulatory leaders: Useful for thinking about how new tools can be evaluated without weakening food safety, documentation, compliance, or accountability.
• Food manufacturing executives: Useful for connecting innovation strategy with practical questions around production capability, workforce readiness, sustainability, and investment priorities.
• Industrial AI and automation practitioners: Useful for learning the domain-specific conditions that make AI in food manufacturing different from generic AI deployment.
• Government and policy stakeholders: Useful for following how scientific issues, public policy, sustainability, and food-sector resilience are being discussed by the community.
• Students and researchers: Useful for seeing how academic research, industry needs, and applied food innovation connect in a national professional setting.

How this connects to CPAI’s mission

CPAI’s mission is centered on practical AI adoption, Physical AI, robotics, governance, and operational implementation. The 2026 Canadian Food Summit connects to that mission because food systems are deeply physical, regulated, and operational. They involve ingredients, machines, packaging, logistics, people, safety rules, quality standards, and public trust. These are exactly the kinds of conditions that determine whether AI can be responsibly deployed.

For food manufacturers, AI is not only a model selection question. It is a systems question. Can the organization collect reliable data? Can teams validate predictions? Can quality and regulatory leaders trust the workflow? Can operators understand when to act on a recommendation? Can sustainability goals be measured with enough discipline to support better decisions? Events like this can help leaders ask those questions in the right domain context.

• It highlights AI as part of food innovation rather than as a detached technology trend.
• It brings together the scientific, operational, policy, and business communities needed for responsible adoption.
• It gives AI practitioners a better view of food-sector constraints, especially around safety, quality, traceability, and validation.
• It supports CPAI’s interest in deployment settings where trust, governance, and real-world outcomes matter as much as technical novelty.

Practical questions to prepare

Visitors who attend with a clear set of questions will get more from the Summit. The event is not only a place to listen to talks. It can also be used to compare perspectives across science, regulation, production, and technology adoption.

• Where could AI support detection, inspection, formulation, process optimization, or product development without creating unmanaged risk?
• What data is already trusted in the organization, and what data would need better capture, cleaning, labeling, or governance?
• How should a food company validate an AI-enabled tool before it affects quality decisions or production workflows?
• What role should quality, regulatory, and operations teams play before an AI pilot is approved?
• Which sustainability goals can be measured clearly enough to support operational improvement?
• What workforce skills are needed so food science teams can collaborate effectively with AI and automation teams?

Practical takeaways

• Evaluate AI through food-sector risk: Ask how AI-supported detection, automation, or product development would be validated, monitored, documented, and governed in a food environment.
• Connect innovation to operations: Look for ideas that can move beyond research discussion into production, quality, supply chain, or R&D workflows.
• Learn from multiple stakeholder groups: Use the mix of industry, government, and academia to understand where priorities align and where implementation barriers remain.
• Strengthen sustainability thinking: Compare how sustainability and resilience are being framed in relation to ingredients, processing, packaging, waste, and supply chain decisions.
• Identify data readiness gaps: Consider what data infrastructure would be needed before AI can responsibly support decisions in food production or product development.
• Build better governance questions: Bring quality, regulatory, and operational concerns into early AI conversations rather than treating them as late-stage approval tasks.
• Use the Summit for partnership discovery: Identify researchers, service providers, food companies, and innovation networks that may help translate ideas into practical work.

Registration and participation

Registration is handled by CIFST through its official registration system, not by CPAI. The official registration page lists multiple registration categories, including full delegate, student, one-day Thursday, and awards dinner options. Regular rates listed by CIFST include full delegate member and non-member rates, student rates, one-day rates, and awards dinner-only rates, with 13 percent HST applied to registration fees.

Because the event uses several registration categories rather than a single admission price, CPAI has treated the local listing price as external and directs visitors to the official registration page for current pricing and eligibility. Visitors should also check the program page before registering because CIFST notes that program updates may occur as details are finalized.