How we deploy private AI inside your network.

A four-phase approach that takes you from network analysis to a fully governed AI environment — without the engineering homework.

Strategic analysis

We start with your network topology. We map your existing infrastructure, security boundaries, compliance requirements, and data flows to understand exactly where AI fits — and where it doesn't.

  • Network topology review and security boundary mapping
  • Compliance and data residency requirements assessment
  • Current AI tool audit (Copilot, ChatGPT, internal prototypes)
  • Use case prioritization based on business impact

Secure cloud tunnel

We propose a secure tunnel into a cloud provider that offers AI compute — alongside state-of-the-art AI governance, privacy, and security systems. Your data stays in Canada, inside your security boundary.

  • Private connectivity to AWS ca-central-1 (Canadian data sovereignty)
  • AI compute via Amazon Bedrock with governed model access
  • Enterprise-grade encryption in transit and at rest
  • IAM policies scoped to your organization's security requirements

Knowledge base and AI tools

We deploy RAG systems inside your virtual private cloud so your team has access to AI that knows your business. Chat with company knowledge, use AI code editors, and run apps like Claude Code — all in a secure, governed environment.

  • RAG pipelines connected to your internal knowledge base
  • AI chat that cites internal sources and company documentation
  • AI-powered code editors and development tools (Claude Code, etc.)
  • All running inside your VPC — no data leaves your boundary

Managed services

This reduces third-party vendors and channels your AI systems through managed services. We run it, we maintain it, we improve it monthly — so your team focuses on using AI, not managing it.

  • Fewer third-party AI vendors to evaluate, contract, and audit
  • Single managed platform replacing scattered SaaS AI tools
  • Monthly optimization, model tuning, and security reviews
  • Predictable $5,000/month cost — no per-seat surprises

The result

Data stays in Canada

Your data never leaves your security boundary. Canadian data sovereignty by default.

AI that actually works

Every employee gets governed AI that passes security review — not the Copilot they're stuck with.

Fewer vendors, less risk

One managed platform replaces scattered SaaS AI tools. Fewer contracts, fewer audits, fewer surprises.

See how this works for your network.

We'll walk through your infrastructure and show you exactly where private AI fits. No pitch — just a technical conversation.