Managed AI Solutions
AI Infrastructure, Fully Managed.
End-to-end AI deployment for Canadian Enterprise
Hut 8 Canada builds, deploys, and operates your organisation's entire AI infrastructure; from data foundations to production models, on Canadian data-resident compute you control.
The AI Inflection Point
Every Canadian enterprise we talk to is at the same inflection point, AI is clearly the direction, but the path to getting there is harder than it looks.
You know you need AI. Here's what's stopping you.
You don't have the team, and building one takes years
Data engineers. ML engineers. MLOps specialists. AI architects. Finding, hiring, and retaining this talent in Canada is expensive, slow, and competitive. Most organisations wait too long and fall further behind.
Your API bill is growing faster than your AI ROI
Per-token billing seems manageable at the start. But as AI becomes core to your operations, the bill compounds fast, often before organisations realise the crossover point has passed.
Your AI worked in the pilot. It's underperforming in production.
Models degrade. Data drifts. Use cases expand. Without continuous management and retraining, the AI that impressed in the demo quietly becomes a liability in production.
We Handle the Whole Thing. You Get the Results.
Delivered in partnership with Cylix Applied Intelligence.
Three phases. One partner. No gaps in accountability. We engage across your entire AI lifecycle so the right outcome is always someone's job; ours.
Phase 01 - Before you build
Know exactly where AI creates value in your organisation, before spending a dollar on development.
Assess
- AI readiness assessment
- Use case prioritisation and ROI modelling
- Data audit and governance review
- Infrastructure requirements scoping
- Strategic AI roadmap
Phase 02 - From design to deployment
Production-grade infrastructure and models, built on Canadian data-resident compute.
Build
- AI application & architecture integration
- AI agent design and development
- GPU-accelerated compute provisioning
- Production deployment and system integration
- Security, compliance, and data residency controls
Phase 03 - After go-live, forever
We stay engaged after launch. Your AI keeps working, because we're accountable for making sure it does.
Manage
- Ongoing LLM, RAG, and AI agent performance management
- Foundation model monitoring, tuning, and lifecycle governance
- Private model hosting, inference scaling, and GPU optimization
- Fine tuning and data optimization as use cases evolve
- Guardrail monitoring, compliance controls, and managed AI support
Stop Funding Your Vendor's Growth.
Every token you process through a public API is revenue for someone else. At enterprise scale, that bill stops being a line item and becomes a strategic problem.
Fixed compute. Not metered consumption.
You pay for infrastructure capacity, not tokens processed. Run ten million documents through your models this month. We don't charge more.
No rate limits throttling your operations.
Your pipelines run at the speed of your hardware. No vendor quotas. No throttling. No renegotiating tiers as your usage grows.
Your data stays in Canada.
No proprietary inputs routed through third-party endpoints. Canadian data residency built into the infrastructure, not bolted on.
The more you run, the better your unit economics.
Unlike per-token billing where costs scale with every use case, owned infrastructure gets more efficient as utilisation grows.
Built for Canadian Enterprise Across Sectors.
We bring domain knowledge to every engagement, so your AI is built to the specific regulatory, data, and operational realities of your industry.
Fraud detection, credit modelling, and regulatory reporting under OSFI oversight.
Clinical decision support and imaging analysis — PHIPA and HIPAA compliant.
Predictive maintenance, quality control, and supply chain intelligence.
Demand forecasting, personalisation, and real-time inventory optimisation.
Contract analysis, document intelligence, and due diligence automation.
Citizen services and policy analysis, full Canadian data residency.
Network anomaly detection, churn prevention, and capacity planning.
Adaptive learning, research pipelines, and institutional knowledge systems.