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    Cylix Applied Intelligence · Managed AI Campaign

    Enterprise AI,
    Fully Managed.

    Cylix builds, deploys, and runs your entire AI stack — from foundation models and RAG to production agents — on enterprise-grade, data-sovereign Canadian infrastructure. So your teams focus on outcomes, not operations.

    Book a Discovery Call
    No commitment · 30 minutes · Real numbers
    90%
    Typical cost reduction vs
    public API billing at enterprise scale
    $0
    Per-token charge — inference runs
    on owned, fixed-cost compute
    ∞
    Throughput — dedicated compute
    with no vendor rate limits or quotas
    1
    Accountable partner — from first
    use case through ongoing operations
    The Problem
    Enterprise AI Is Stalling.
    Here's Why.

    Most Canadian enterprises aren't short on AI ambition. They're short on the infrastructure, expertise, and operational accountability to move from pilot to production.

    01
    Per-Token Costs Scale Badly
    Public API billing is fine for pilots. At production volumes — millions of inference calls, RAG pipelines, agentic workflows — per-token costs compound into material operational line items.
    02
    Data Sovereignty Is Non-Negotiable
    Regulated industries cannot route sensitive data through US-based AI APIs. PIPEDA, OSFI guidelines, and sector-specific compliance requirements demand Canadian data residency.
    03
    No Single Partner Owns the Stack
    Infrastructure providers don't do AI deployment. AI consultants don't manage infrastructure. The gap between those two worlds is where enterprise AI programmes stall or fail.
    The Solution
    We Handle the Whole Thing.
    You Get the Results.

    Three phases. One partner. No gaps in accountability. Delivered in partnership with Hut 8 Canada — certified Tier III Canadian colocation and GPU infrastructure.

    Phase 01 · Before You Build
    01
    Assess
    Know exactly where LLMs, RAG, and agents create value in your organisation — before committing a dollar to development.
    AI readiness and data-maturity assessment
    Use-case prioritisation and ROI modelling for LLM and agentic workloads
    Foundation model vs fine-tune vs RAG architecture review
    Data governance, security, and sovereignty review
    Strategic AI roadmap with build-vs-buy economics
    Phase 02 · From Design to Deployment
    02
    Build
    Production-grade pipelines, models, and agents — built on enterprise-grade, data-sovereign Canadian infrastructure from day one.
    RAG pipeline engineering — vector stores, retrieval, and evals
    Foundation model selection and fine-tuning
    Private hosted models on dedicated GPU compute
    Agentic workflow and tool-orchestration development
    Phase 03 · After Go-Live, Forever
    03
    Manage
    We stay accountable after launch. Your LLMs, RAG systems, and agents keep performing — because keeping them working is our job.
    Continuous model and retrieval-quality monitoring — evals, drift, hallucination
    Scheduled retraining and re-indexing as your data evolves
    GPU infrastructure management, scaling, and cost optimisation
    Prompt, agent, and RAG tuning as use cases expand
    Dedicated support and performance reporting
    The Economics
    Why Owned Infrastructure
    Changes the Numbers.

    At pilot scale, public API billing is manageable. At enterprise scale, it compounds into a material cost problem — one that Canadian data residency requirements make even more pressing.

    Public API Approach
    ✗Per-token billing that scales non-linearly with usage
    ✗Sensitive data routed through US-based infrastructure
    ✗Vendor rate limits constrain production throughput
    ✗No control over model behaviour or data handling
    ✗PIPEDA and OSFI compliance review required for every API call
    ✗Two separate vendor relationships — infrastructure and AI
    Cylix Managed AI on Canadian Infrastructure
    ✓Fixed-cost compute — $0 per token, no billing surprises
    ✓100% Canadian data residency — PIPEDA compliant at every layer
    ✓Unlimited throughput on dedicated GPU infrastructure
    ✓Private models fine-tuned on your proprietary data
    ✓Built on Hut 8 Canada Tier III certified facilities
    ✓One accountable partner from infrastructure to production AI
    Who We Serve
    Built for Enterprise.
    Across Every Sector.

    We bring domain knowledge to every engagement — so your AI is built to the regulatory, data, and operational realities of your industry.

    Financial Services
    Fraud detection, credit modelling, and regulatory reporting under financial-sector oversight.
    Healthcare & Life Sciences
    Clinical decision support and imaging analysis — built to healthcare privacy and compliance standards.
    Legal & Professional Services
    Contract analysis, document intelligence, and due-diligence automation.
    Public Sector
    Citizen services and policy analysis — with full data residency and sovereignty guaranteed.
    Manufacturing & Energy
    Predictive maintenance, quality control, and supply-chain intelligence.
    Retail & E-Commerce
    Demand forecasting, personalisation, and real-time inventory optimisation.
    Telecommunications
    Network anomaly detection, churn prevention, and capacity planning.
    Education & Research
    Adaptive learning, research pipelines, and institutional knowledge systems.
    FAQ
    Common Questions
    How is this different from using OpenAI or Anthropic's API directly?
    Public AI APIs charge per token and process your data on infrastructure outside Canada. Cylix runs private models on dedicated Canadian GPU infrastructure — no per-token billing, no data leaving Canadian jurisdiction, and full control over model behaviour and data handling.
    What infrastructure does Cylix use?
    Cylix delivers Managed AI on Hut 8 Canada infrastructure — Tier III-grade certified data centres in GTA 1 Mississauga and Kelowna, BC. SOC 2 Type II, PIPEDA compliant, PCI DSS, and NIST 800-53 certified. 100% Canadian data residency at every layer.
    Do we need to replace our existing infrastructure?
    No. Cylix designs hybrid approaches that integrate with your existing environment. Most engagements start with specific AI workloads and expand over time — there is no requirement to migrate your entire infrastructure stack.
    How long does it take to go from assessment to production?
    Timelines vary by use case complexity. Simpler RAG-based deployments can reach production in 6–8 weeks. Complex agentic systems or custom model development typically take 3–6 months. The assessment phase gives you a precise timeline before any development commitment.
    What does the Discovery Call cover?
    In 30 minutes, Cylix will 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.
    Get Started
    30 Minutes.
    Real Numbers.

    Book a Discovery Call and walk away with a clear picture of what managed AI on Canadian infrastructure means for your organisation — commercially and technically.

    Book a Discovery Call
    No commitment · Enquiry goes directly to the Cylix team
    InfraHub Campaign Verified Provider Infrastructure delivered in partnership with Hut 8 Canada