ALL IN 2027
by Scale AI (co-organized with Mila)
Canada's leading AI event returns to Montréal — Palais des congrès, September 22-23, 2027
About This Event
ALL IN 2027 is Canada's flagship artificial intelligence conference, returning to the Palais des congrès de Montréal in Montréal, Quebec, on September 22-23, 2027. It is organized by Scale AI and co-organized with Mila, the Quebec AI institute. Organizers project 6,500+ business decision-makers and AI experts, 200+ speakers, 2,500+ companies represented, 100+ top Canadian AI startups and delegates from 40+ countries — the same scale as the 2026 edition, held at the same venue on September 16-17, 2026. The programme combines keynotes, panel discussions and startup showcases on applying AI across healthcare, manufacturing, finance and public policy, alongside ethical AI, data governance and regulation. Tickets for 2027 are already on presale, a year ahead.
At a Glance
- Date
- September 22–23, 2027
- Location
- Palais des congrès de Montréal, Canada
- Format
- In-Person
- Event Type
- Conference
- Status
- Upcoming
- Expected Attendance
- 6,500+
- Pricing
- Paid
- Organizer
- Scale AI (co-organized with Mila)
- Added
- Sep 18, 2026
- Updated
- Sep 18, 2026
Topics & Focus Areas
Who Should Attend
- ✓CTOs and CIOs
- ✓Heads of AI and data
- ✓AI startup founders
- ✓Investors
- ✓Public-sector and policy leaders
- ✓AI researchers
Why Attend
ALL IN puts Canada's AI ecosystem in one building for two days — researchers from Mila, industry leaders, policymakers and 100+ Canadian AI startups — which makes it an efficient trip for a CTO sourcing Canadian AI talent, research partners or startup vendors, and for a vendor mapping Canada's enterprise AI market. With 2,500+ companies represented and 40+ countries in the room, it is also the clearest read on where Canadian AI policy and adoption are heading.
Event Features
- ✓Two main stages of keynotes and panel discussions (streamed to virtual-pass holders in 2026)
- ✓Showcase of 100+ top Canadian AI startups
- ✓Themed pavilions and demonstration areas
- ✓Official ALL IN networking platform for attendee matchmaking
- ✓On-demand session videos after the event (2026 format)
- ✓Five-pass team bundle for group attendance (2026 format)
What Makes This Unique
- ★Organized by Scale AI and co-organized with Mila, so it anchors Canada's national AI ecosystem rather than promoting a single vendor
- ★Scale for a national event: 6,500+ decision-makers and experts and 2,500+ companies projected by the organizers
- ★Showcase of 100+ Canadian AI startups — a direct sourcing channel for Canadian AI partners
- ★Demand runs ahead of supply: the 2026 two-day in-person passes sold out, and 2027 went on presale a year early
Industries Represented
Event Scale
Pricing Details
ALL IN 2027 tickets are on presale through Weezevent; the official site does not yet publish 2027 pass prices. For reference, the 2026 edition's two-day in-person pass and five-pass team bundle both sold out, and a virtual-access-only pass (two main stages, networking platform, on-demand video) was listed at $300.
Organizer
Scale AI (co-organized with Mila)
scaleai.ca/Frequently Asked
- When is ALL IN 2027?
- ALL IN 2027 takes place September 22–23, 2027 in Montréal, Canada.
- Where is ALL IN 2027 held?
- ALL IN 2027 is held in Montréal, Canada. The event format is in-person.
- How much does ALL IN 2027 cost?
- ALL IN 2027 is paid. ALL IN 2027 tickets are on presale through Weezevent; the official site does not yet publish 2027 pass prices. For reference, the 2026 edition's two-day in-person pass and five-pass team bundle both sold out, and a virtual-access-only pass (two main stages, networking platform, on-demand video) was listed at $300.
- Who should attend ALL IN 2027?
- ALL IN 2027 is aimed at CTOs and CIOs, Heads of AI and data, AI startup founders, Investors, Public-sector and policy leaders, AI researchers.
- What topics does ALL IN 2027 cover?
- ALL IN 2027 covers Enterprise AI adoption, AI in healthcare, AI in manufacturing, AI in financial services, AI policy and regulation, Data governance, Responsible and ethical AI, AI startups.
Sources
This page was written from 5 sources, 2 on domains other than allinevent.ai.
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