AI Consulting across Canada
Production AI for Canadian teams, deployed in your own cloud and built to clear PIPEDA from day one.
Working across Toronto Financial District · Montreal Mile-Ex AI cluster · Vancouver Mount Pleasant tech corridor · Ottawa Kanata North · Calgary Beltline · Waterloo Region tech triangle
Working alongside teams like
Canada runs a regulated, resource-rich, talent-dense economy, from the bank towers of Toronto and the AI labs of Montreal to the energy operators of Calgary and the ocean-tech firms of Halifax. The country has three of the world's leading public AI institutes in Vector, Mila, and Amii, and a federal posture on privacy and data residency that means AI here has to be auditable, not just impressive.
We build production AI for Canadian organizations across every province: grounded systems, human review where it matters, and full ownership in the client's own cloud. We work across Canadian time zones, from Pacific in Vancouver to Atlantic in Halifax, on the ground for discovery and remote for speed.
PIPEDA, OSFI guidance, Quebec's Law 25, and the proposed Artificial Intelligence and Data Act all shape how a Canadian system is allowed to handle data. We design for those constraints first so what we ship survives a review, keeps data in-country when required, and stays owned by your team.
Talent & research
- University of Toronto
- Mila - Quebec AI Institute
- University of Waterloo
- Vector Institute for Artificial Intelligence
Compliance context
Services we deliver in Canada
The work most relevant to Canada's industry mix, from first strategy through systems running in production.
Industries we serve in Canada
Canada spans six time zones, so we staff each engagement to the client's local hours, from Eastern in Toronto and Ottawa to Pacific in Vancouver and Atlantic in Halifax. We come on the ground for discovery and workshops, run the build remotely for speed, and deploy every system in your own cloud with data residency and audit documentation handled, owned by your team.
Related case study: Risk assessment in real time→Discover
On the groundWe meet your team locally to map the highest-leverage problem and the data behind it.
Build
In your cloudWe engineer, evaluate, and harden the system inside your environment, not ours.
Run
Owned by youYou get the code, the weights, and the documentation. We can run it or hand it over.
AI consulting in Canada, answered
It depends on scope. A 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 an honest range and a sequenced plan before any commitment, in Canadian dollars.
Financial services, healthcare, energy and natural resources, and government see the fastest return, because they run on documents, regulation, and high-stakes decisions. Toronto banking, Montreal research, Calgary energy, and Ottawa public sector are where we see the most demand.
We are a remote-first Canadian team that works across every provincial time zone and meets clients on the ground for discovery, workshops, and key milestones. Your AI runs in your own cloud, kept in-country where data residency requires it, not ours.
Yes. We build with privacy, data residency, and auditability from day one, deploy in your environment, and produce the documentation and controls that Canadian regulators and your risk team expect, including provincial frameworks like Quebec's Law 25.
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 province by province if needed.
Ready to build AI in Canada?
Book a free consultation. We'll map the highest-leverage use case for your team and show you exactly how we'd ship it.