We exist to make private AI accessible to mid-market companies

Most AI tools are built for enterprises with dedicated AI teams or consumers with no security requirements. Mid-market companies — the $5M to $50M businesses that run Canada's economy — are stuck in the middle. We built Org.Tech to fix that.

The team

Mind Model AI

The company behind Org.Tech

Mind Model AI builds private AI infrastructure for mid-market companies across Canada. We specialize in AWS-native deployments that pass security review without months of engineering.

Alex K.

AI Infrastructure Lead

Designs and deploys private AI architectures on AWS. Background in enterprise security and cloud infrastructure. Has shipped RAG systems for healthcare and financial services clients.

Sam R.

AI Strategy & Delivery

Works directly with IT Directors to map business use cases to AI capabilities. Focused on practical outcomes — not demos that never make it to production.

What we stand for

Sovereignty first

Your data stays in your environment. Always.

Quiet authority

We show up with expertise, not hype.

Predictable outcomes

Fixed monthly cost. No surprises. No scope creep.

Practical AI

We deploy what works, not what's trending.

Canadian data residency, configurable

Org.Tech deploys AI infrastructure inside your own AWS account. When Canadian data residency is enabled, your documents, vectors, prompts, responses, and audit logs stay in ca-central-1 (Montreal) - inside infrastructure you own and control.

Your AI compute runs in a dedicated isolated private network. The connection to the managed AI inference service uses a private network endpoint - traffic does not traverse the public internet. No third-party SaaS platforms carry your content.

What stays in Canada: your data, your prompts, your responses, your audit trail, your encryption keys, and the orchestration that ties them together. What is AWS-managed: the foundation model inference fleet, reached through a private endpoint you control. In-region models (Claude Haiku 4.5, Titan Embeddings) keep inference in Canada. Frontier models may route through non-Canadian regions - disclosed and configurable per your posture tier.

This architecture supports the accountability and documentation requirements of Canadian privacy regulations including PIPEDA and provincial health privacy laws such as PHIPA (Ontario), PIPA (Alberta), and PHIA (Manitoba). Your legal and compliance teams will have a clear, auditable data flow to review.

  • Storage and orchestration pinned to ca-central-1 when residency is enabled
  • Private network endpoint to the inference service - no public internet path
  • No third-party SaaS data flows - your data stays in your account
  • Supports PIPEDA and provincial health privacy accountability requirements