Software Development Company Montreal

Mila, co-founded by Turing Award winner Yoshua Bengio, hosts the largest concentration of academic deep learning researchers anywhere in the world, and that lineage shapes what AI development in Montreal actually means. We're not interested in selling a thin wrapper around a public API and calling it an AI product. Akoode builds AI development systems, retrieval pipelines, and automation evaluated against real operating data, with the kind of technical rigor a Mila-adjacent engineering team would actually recognise.

Quebec's Bill 96 requires that a French version of a digital product be available on terms at least as favourable as any other language, which rules out treating French as a translation task bolted on after launch. We build custom software development projects with French as a first-class part of the build from the UI copy through the data model, not a checklist item handled the week before a Quebec launch.

Montreal's academic AI ecosystem produces more data science talent than most cities can absorb into research roles alone, and a lot of Montreal companies are sitting on operational data nobody's built a proper pipeline for yet. We build data science and analytics systems that turn that data into something a decision-maker can act on, evaluated with the same rigor a Mila-trained researcher would expect, not a dashboard nobody opens after the first demo.

A website accessible to Quebec residents falls under Bill 96's commercial-publishing rules whether or not the business has a physical office in the province, which catches a lot of companies outside Quebec off guard. We build web development projects with a French version that's genuinely equivalent in content and quality to the English one, architected together rather than produced as an afterthought translation.

Montreal's mix of AI-heavy workloads and enterprise systems needs infrastructure that scales for genuine compute demand without becoming a cost surprise. We set up CI/CD, containerised deployments, and monitoring built to handle both routine load and the occasional AI training or inference spike, with the documentation discipline that survives a technical review. 

Montreal's deep bench of AI and data science talent is genuinely world-class, and also genuinely expensive and hard to hire quickly given how much of it is absorbed by research institutions and large tech employers. Staff augmentation fills the gap: senior developers embedded directly into your sprint on short notice, without a months-long Montreal hiring process.