Where Canadian AI projects fail
Notebook-grade demos, no eval harness, no governance, no path through procurement, no SR&ED documentation. We have seen every failure mode and we build past them on day one.
Most Canadian AI projects die between the proof-of-concept and the second sprint. CFRI is built for the second sprint — operators who have already shipped LLM workflows, agentic systems, and AI ops infrastructure into regulated Canadian environments. We embed, ship, and document SR&ED-eligible R&D as we go.
Notebook-grade demos, no eval harness, no governance, no path through procurement, no SR&ED documentation. We have seen every failure mode and we build past them on day one.
Production LLM workflows, RAG systems with retrieval evaluation, agentic systems built on the open-source MartinLoop runtime, and full SR&ED-aligned R&D records that survive CRA review.
Schedule I and Schedule II banks, OSC-regulated firms, insurers, professional-services firms, Crown corporations, and BDC/IRAP/FedDev-funded scale-ups.
Thirty minutes with operators who have already shipped what you're trying to figure out. No pitch deck.