Sponsor Canada’s 
Summit for Applied AI

TMLS brings together the researchers, practitioners, and leaders putting AI into practice across Canada.

Sponsors Showcase

Backed by teams building the future of applied AI

Since 2016, TMLS has been a meeting point for teams working at the intersection of machine learning, AI infrastructure, and enterprise adoption. The summit is built for people sharing real implementation lessons, comparing what is working, and learning from technical peers across industry and research.

Platinum Sponsor
Gold Sponsors
Exhibitors

Why Sponsor

TMLS is built to create meaningful interactions between sponsors and the people building, evaluating, and scaling AI systems.

Whether your goals are thought leadership, lead generation, product feedback, or long-term brand visibility, the summit gives your team multiple ways to show up with credibility.

The sponsor value proposition in your guide canters on industry credibility, technical decision-makers, high-intent leads, product feedback, year-round reach, and long-term relationships.

Build Industry Credibility

Put your experts on stage to share real production lessons with a highly relevant audience.

Meet Technical Decision-Makers

Reach the engineers, practitioners, and leaders shaping AI adoption inside their organizations.

Generate High-Intent Leads

Connect with technical buyers actively evaluating tools, platforms, and partners.

Validate With Real Practitioners

Get direct product feedback from hands-on ML teams working through real implementation challenges.

Extend Your Reach

Stay visible year-round across our media and community channels.

Build Lasting Relationships

Form meaningful connections with AI teams, founders, and ecosystem partners.

Who Attends

Audience Snapshot

A highly relevant audience of practitioners, researchers, and AI leaders.

The audience is deeply technical and comes ready to learn, evaluate solutions, and engage. TMLS attracts people working directly with ML and AI systems, along with leaders responsible for adoption, strategy, and execution.

500+

Total Attendees

95%

Active ML/AI Professionals

24%

Actively Looking 
for Solutions

80%

Technical Practitioners Working Directly with ML/AI Systems

Companies That Attend

TMLS draws teams from technology and telecommunications, financial services, healthcare and biotech, retail and CPG, government, and the public sector. Past attendees include organizations such as CIBC, TELUS, RBC, TD Bank, BMO, IBM, Google, Wealthsimple, AMD, UHN, and many more.

Faraz Thambi

Head of Global Partnerships

Looking to Sponsor?

Let’s book a time to discuss your specific sponsorship objectives. Speak with Faraz Thambi.

Who Attends

Attendees
0 +
Data Practitioners
0 %
Researchers/Academics
0 %
Business Leaders
0 %

2023 Event Demographics

Technical practitioners working directly with ML/AI systems
0 %
Currently Working in Industry*
0 %
Attendees Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
0 %

2023 Technical Background

Expert/Researcher
14%
Advanced
37%
Intermediate
28%
Beginner
7%

2023 Attendees & Thought Leadership

Attendees
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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

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For feature details, visit Whova