AI development company for Montreal AI research-adjacent, gaming, fintech & healthcare — Law 25 ready.

Quebec Law 25 is the load-bearing framework on every Montreal engagement — consent per purpose, automated-decision disclosure, de-indexation rights — and PIPEDA still applies federally on top of it. Montreal is one of the densest AI research and applied-AI buyer markets in the world, and the organizations we typically work with here reflect that mix. CTOs and Heads of Applied AI at Mila-adjacent scaleups and the broader Element AI-legacy ecosystem (now ServiceNow Montreal) — the engineering and research alumni networks that span across Old Montreal, Mile End, the Plateau, and Outremont. Engineering directors at Ubisoft Montreal, Warner Bros Games Montreal, Behaviour Interactive, Eidos-Montreal, and the broader Montreal gaming cluster (one of the largest globally) shipping LLM-driven NPC pipelines, procedural content, and in-game voice agents. Heads of digital at CHUM, McGill University Health Centre, Sainte-Justine, and the broader Quebec health network of CIUSSS and CISSS operators. Engineering leaders at Caisse de depot-adjacent fintech operators, National Bank of Canada-adjacent operators, and Montreal challenger banks and lending platforms. Founders at Mile End and Plateau SaaS scaleups, the broader Quartier de l'innovation operators, and bilingual Quebec-French customer-facing product teams. They typically arrive after the same conversation: a Toronto AI agency has quoted Toronto rates without Quebec Law 25 expertise, hiring an AI engineer in Montreal against Mila, ServiceNow, Ubisoft, or a US-remote employer is genuinely difficult, and the in-house team needs a partner who understands both PIPEDA federally and Law 25 provincially — without treating Law 25 as a Quebec-flavoured footnote to PIPEDA. Across 50+ shipped production AI systems and 12 industries, we have built RAG pipelines that hold up under Commission d'acces a l'information du Quebec (CAI) scrutiny, voice agents at sub-second latency including fr-CA, and agentic features grafted onto live Canadian SaaS products without breaking the host architecture.

What separates Aiinfox from a typical Montreal AI agency is the engineering discipline around the model, and the regulatory discipline around Quebec Law 25 specifically. We write the eval harness before the prompt, and we write the Law 25 compliance map before the prompt too. Quebec Law 25 (formerly Bill 64) phased in across September 2022, September 2023, and September 2024 — and it is meaningfully different from PIPEDA in ways that matter to every Montreal buyer. Law 25 requires affirmative consent per identified purpose (not a single bundled consent), mandates the appointment of a privacy officer (Chief Privacy Officer or equivalent), requires a Privacy Impact Assessment before any system handling personal information goes into production, mandates disclosure when an automated decision-making system is used (and the right for the individual to challenge that decision and obtain human review), grants a right to de-indexation (which is broader than the federal right under PIPEDA), and carries materially higher penalties than PIPEDA — up to 4% of worldwide turnover or CAD 25 million, whichever is greater. We map Law 25 explicitly: the consent architecture is per-purpose at the data-collection layer, the automated decision-making disclosure is baked into the agent's system prompt and the UI surface where the decision is presented, the PIA is run before any production deployment, and the audit log on every model and tool call exports cleanly into a CAI-facing format. PIPEDA still applies federally — for Montreal operators with personal information flowing into other provinces (Ontario, BC, Alberta) or cross-border into the US, we layer PIPEDA accountability and the relevant inter-provincial obligations on top of the Law 25 baseline. For CHUM-, McGill UHC-, and Sainte-Justine-adjacent healthcare, we layer the Act respecting health services and social services obligations specific to Quebec health information custodians. We pin LLM inference to a Canadian region (AWS ca-central-1 in Montreal is the obvious default, AWS ca-west-1 in Calgary supported for Western-data-residency engagements, Azure Canada Central in Toronto for Azure-native clients) and run the entire build inside your Canadian cloud account. Self-hosted Llama 3 on vLLM is supported for clients with strict no-third-party-API positioning. Senior engineers only — eight years average experience per engineer.

Bilingual English + French delivery matters in Montreal, and we will be straight about what we offer. Our customer-facing AI deliverables — chatbots, voice agents, document intelligence outputs, agent system prompts and refusal language — are delivered in both English and Quebec-French (fr-CA, with the specific lexical and phrasing conventions appropriate for Quebec audiences, not generic European French). We have shipped fr-CA voice agents on Deepgram and ElevenLabs with Quebec-French voices and validated against native Quebec speakers. The development and engineering team works in English — code, documentation, technical specifications, twice-weekly demos, and async updates are in English — and the customer-facing output is reviewed and validated by a fluent Quebec-French speaker before any production release where the linguistic register matters. Time-zone overlap with Montreal Eastern Time: our Frisco, TX pod runs Central Time, one hour behind Eastern, and our US-Hours rotation runs a late-CT shift (typically 10am-to-7pm CT) that covers ET 11am-to-8pm with Frisco engineers on Zoom inside your workday. Mohali adds an early-IST start that picks up Montreal afternoons in real time. Six-week target from kickoff to a working v1, fixed-price scope written in 72 hours, overrun cost on us if we miss for reasons on our side. The cost difference versus a Toronto or Montreal AI consultancy lands at roughly 40 to 60 percent on senior rates — useful, but the headline is Law 25 expertise built into the engagement from day one and bilingual delivery that does not get bolted on.