arosplatforms™AI consultancy

AI

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Black and white view of Montréal's iconic skyline with skyscrapers and urban landscape.
AI consulting · Quebec, Canada

AI Consulting in Montreal

The world's AI research capital, where Mila meets a bilingual custom AI partner who ships in your timezone and clears Law 25.

1st
deep-learning research hub in the world
EST
we work your business hours
Law 25
aware by design
Photo: Jack Winbow / Pexels
The Montreal mix
Financial services & insuranceAerospace & manufacturingPharmaceuticals & life sciencesProfessional services

Working across Mile-Ex AI cluster · Quartier de l'innovation · Centre-ville financial district · Saint-Laurent aerospace corridor · Old Montreal

Working alongside teams like

National Bank of CanadaBombardierCAECGILightspeedUbisoft MontrealMila - Quebec AI InstituteMcGill UniversityUniversite de Montreal
National Bank of CanadaBombardierCAECGILightspeedUbisoft MontrealMila - Quebec AI InstituteMcGill UniversityUniversite de Montreal
The Montreal landscape

Montreal is one of the densest concentrations of AI talent on the planet. Mila, the Quebec AI Institute founded by Yoshua Bengio, anchors a research ecosystem in Mile-Ex that draws the labs of major model builders and a deep bench of Element AI and ServiceNow alumni. McGill, Universite de Montreal, and Polytechnique feed it a continuous stream of researchers.

Beyond research, the city runs on aerospace, banking, and gaming: Bombardier and CAE build aircraft and simulators in the west end, National Bank and the financial district sit downtown, and the Quartier de l'innovation hosts studios and startups. It is a bilingual, regulated economy where Law 25, the most demanding privacy law in Canada, governs how data and automated decisions are handled.

arosplatforms builds production AI for Montreal teams, in French and English, that has to clear Law 25 and survive an audit, not just impress in a demo. We work on Eastern time, on the ground in Mile-Ex and downtown for discovery, and deploy in your own cloud so your team owns it.

Talent & research

  • Mila - Quebec AI Institute
  • McGill University
  • Universite de Montreal

Compliance context

Law 25PIPEDAOSFI guidelines

Industries we serve in Montreal

How we deliver for Montreal

Montreal runs on Eastern time and so do we, in French and English: on the ground in Mile-Ex and downtown for discovery and workshops, remote for speed in between. Every system is deployed in your own cloud, documented for audit, and owned by your team, which is non-negotiable under Law 25, the toughest privacy regime in the country.

Related case study: Risk assessment in real time
01

Discover

On the ground

We meet your team locally to map the highest-leverage problem and the data behind it.

02

Build

In your cloud

We engineer, evaluate, and harden the system inside your environment, not ours.

03

Run

Owned by you

You get the code, the weights, and the documentation. We can run it or hand it over.

Nearby & region

AI consulting in Montreal, answered

It depends on scope. A focused readiness assessment or a single production use case is a fixed-fee engagement; a multi-system build is scoped after a free discovery call. We give you an honest range and a sequenced plan before any commitment.

Financial services and insurance, aerospace and manufacturing, and pharma see the fastest return, because they run on documents, regulation, and high-value decisions, exactly where grounded AI pays off. We work in both French and English.

We are a remote-first team that works on Eastern time and meets clients on the ground across Mile-Ex and downtown Montreal for discovery, workshops, and key milestones, in French or English. Your AI runs in your own cloud, not ours.

Yes. Law 25 is the strictest privacy law in Canada, and we design for it from day one: privacy impact assessments, the right to an explanation for automated decisions, data residency, and full auditability, all deployed in your environment.

A first production use case typically goes live in weeks, not quarters. We start from the highest-leverage problem, prove it with evaluation, then expand.

Ready to build AI in Montreal?

Book a free consultation. We'll map the highest-leverage use case for your team and show you exactly how we'd ship it.