Your AI. Your data. Canada only.

Sovereign AI means the model runs on infrastructure you or your organization controls — in Canada — with no data ever sent to US-based providers. Your prompts, your outputs, and your training data stay inside Canadian jurisdiction. It's the opposite of calling the OpenAI API, where every request leaves the country.

A DPA (Data Processing Agreement) with OpenAI or Azure OpenAI provides contractual protections, but the data still physically flows to US servers. For regulated industries in Canada — healthcare, legal, government — that cross-border transfer is itself the compliance problem. A DPA doesn't fix the location of data.

It depends on your use case and scale. For most clients we deploy open-weight models (Llama 3.x, Mistral, Phi-4) that can be hosted entirely within Canada. For clients with proprietary training data we fine-tune or build RAG pipelines on top of these models. We don't lock you into one vendor.

Not meaningfully for most business tasks. Open-weight models at the current generation (Llama 3.1 70B, Mistral Large) are competitive with GPT-3.5 and approaching GPT-4 on most business-relevant tasks. For specialized domains where you fine-tune on your own data, sovereign models routinely outperform public models for your specific use case.

Yes. CDAP (up to $15K for SMEs), BDC Digital Acceleration, and NRC IRAP all have provisions that cover AI infrastructure investments including private model deployment. For government clients, additional provincial and federal programs apply. We help eligible clients navigate this as part of the engagement.

A basic private LLM deployment on Canadian cloud infrastructure — with API access, access controls, and audit logging — takes 2–4 weeks. A full-stack implementation with fine-tuning, RAG pipeline, and integration into your existing systems takes 4–12 weeks depending on scope.