Managed AI Solutions
Your Competition Is
Already Running AI.
Are You?
Stop waiting for the right team, the right infrastructure, or the right moment. Hut 8 Canada builds, deploys, and runs your entire AI stack — on Canadian data-resident compute — so you can focus on outcomes, not operations.
Book a Discovery Call
No commitment. 30 minutes. Real numbers.
60–90%
Cost reduction vs. public API billing at enterprise scale
0¢
Per-token charge — your processing costs are fixed, not metered
100%
Canadian data residency — your data never leaves the country
1
Accountable partner — from first use case to ongoing operations
Sound familiar?
You know you need AI.
Here's what's stopping you.
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 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.
The Solution
We Handle the Whole Thing.
You Get the Results.
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
Assess
Know exactly where AI creates value in your organisation, before spending a dollar on development.
- ✓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
Build
Production-grade infrastructure and models, built on Canadian data-resident compute.
- ✓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
Manage
We stay engaged after launch. Your AI keeps working, because we're accountable for making sure it does.
- ✓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
Delivered in partnership with Cylix Applied Intelligence
The Economics
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.
01
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.
02
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.
03
Your data stays in Canada. Full stop.No proprietary inputs routed through third-party endpoints. Canadian data residency built into the infrastructure — not bolted on.
04
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.
60–90%
Typical cost reduction vs. public API billing at enterprise scale. Not a projection — a structural outcome of owning your inference infrastructure.
0¢
Per-token charge on your processing
100%
Canadian data residency guaranteed
∞
Throughput — no rate limits on dedicated compute
1
Accountable partner for the full lifecycle
Who We Serve
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.
Financial Services
Fraud detection, credit modelling, and regulatory reporting under OSFI oversight.
Healthcare & Life Sciences
Clinical decision support and imaging analysis — PHIPA and HIPAA compliant.
Manufacturing & Energy
Predictive maintenance, quality control, and supply chain intelligence.
Retail & E-Commerce
Demand forecasting, personalisation, and real-time inventory optimisation.
Legal & Professional Services
Contract analysis, document intelligence, and due diligence automation.
Public Sector
Citizen services and policy analysis — full Canadian data residency.
Telecommunications
Network anomaly detection, churn prevention, and capacity planning.
Education & Research
Adaptive learning, research pipelines, and institutional knowledge systems.
Common Questions
Questions we get before every Discovery Call.
We'd rather answer them here than have them slow you down.
We already use a public AI API. Is it too early to move?
Not at all — in fact, now is the right time. The best time to plan your infrastructure transition is before your API costs become a board-level conversation. We model the crossover point for you during Discovery, so you can make the move on your timeline, not in reaction to a budget crisis.
We don't have a data science team. Can you still help?
That's exactly who this is built for. You don't need an internal AI team. We provide the expertise across data engineering, model development, and operations. Your team focuses on the business problems — we focus on building and running the AI that solves them.
How long does it take to get up and running?
The assessment phase takes 2–4 weeks. First production deployments typically follow within 8–14 weeks depending on data readiness and use case complexity. We scope this precisely during Discovery — you'll leave with a realistic timeline, not a best-case estimate.
What does "Canadian data residency" actually mean in practice?
It means your data never leaves Canada. Your models train on Canadian infrastructure. Your inference runs on Canadian infrastructure. No inputs or outputs are routed through US or international data centres. We can provide documentation to support your compliance and client data agreement requirements.
What happens after the model is deployed?
We stay engaged — that's the point. Continuous monitoring, drift detection, scheduled retraining, and performance optimisation are all included in the managed operations phase. You don't inherit a system that slowly degrades. You have a team that's accountable for keeping it working.
Now accepting Discovery Calls
The next step is simple
30 Minutes.
Real Numbers.
Real Numbers.
Book a Discovery Call and we'll assess your AI readiness, model the cost difference between your current approach and managed infrastructure, and outline a clear path forward. No slides. No pitch deck. Just an honest conversation about what makes sense for your organisation.
Canadian data residency — guaranteed from day one
No per-token billing — fixed infrastructure, not metered consumption
End-to-end managed operations — we stay engaged after go-live
Built for Canadian businesses — PIPEDA, PHIPA, OSFI aware
Book Your Discovery Call
Tell us about your current environment. We'll respond within one business day.
No commitment required · Canadian team · Response within 24 hours
This campaign was built and managed by InfraHub.ca on behalf of Hut 8 Canada · Campaign Tier
infrahub.ca · June 2026