Your Own AI. Your Own Servers. Your Own Data.
Deploy powerful open-source AI models on Canadian infrastructure. Zero subscriptions to OpenAI. Full PIPEDA compliance. Complete data control.
What Is Self-Hosted AI Infrastructure?
Self-hosted AI infrastructure is the deployment of open-source large language models on your own servers or Canadian cloud regions, giving you full data control with zero reliance on third-party AI subscriptions. ChatGPT.ca has deployed private AI systems for regulated industries including legal, healthcare, and financial services. Clients typically achieve a 67% cost reduction versus commercial AI subscriptions within 18 months.
Why Self-Hosted AI?
Self-hosted AI keeps your data on your infrastructure, eliminates per-user subscription costs, and ensures full PIPEDA compliance.
Data Privacy
Every prompt you send to ChatGPT goes to OpenAI's servers. Your confidential data, client information, and trade secrets are leaving your control.
With self-hosted AI, data never leaves your infrastructure. Process sensitive documents, client data, and proprietary information with zero external exposure.
Data Residency
OpenAI and most AI providers store data in the US. For regulated industries, this creates compliance headaches.
We deploy on Canadian servers. Your data stays in Canada. PIPEDA compliance by design, not by policy.
Cost Control
ChatGPT costs $30/user/month. For 50 employees, that's $18,000/year. And the price only goes up.
One-time infrastructure cost plus minimal hosting fees. No per-user pricing. No usage caps. Predictable costs forever.
Control
OpenAI decides what their models will and won't do. They change policies without notice. Your tools can break overnight.
You control your AI completely. No content policies you didn't choose. No surprise changes. Your rules, your way.
The Math
A one-time infrastructure investment of $25,000 breaks even against ChatGPT Enterprise subscriptions in about 18 months.
Break-even: 18 months
After that, you save $18K every year. And you own everything.
What AI Models Can You Deploy?
We deploy Llama, Mistral, CodeLlama, and custom fine-tuned models that match GPT-4 performance for most business tasks.
Open-source models that rival commercial offerings
Llama 3.1
MetaIndustry-leading open-source model. Excellent for general tasks, coding, and analysis.
Mistral
Mistral AIHighly efficient European model. Fast inference with lower resource requirements.
CodeLlama
MetaSpecialized for code generation, review, and technical documentation.
Custom Fine-tuned
Your DataWe can fine-tune any open model on your specific data and use cases.
What Are the Deployment Options?
Choose between Canadian cloud regions, on-premise servers, or a hybrid configuration depending on your security requirements.
Choose the infrastructure that fits your requirements
Canadian Cloud
Deployed on AWS Canada, Google Cloud Montreal, or Azure Canada regions.
- ✓Fully managed
- ✓Auto-scaling
- ✓Quick deployment
On-Premise
Installed on your own servers in your own data center.
- ✓Maximum control
- ✓No cloud dependency
- ✓Air-gapped option
Hybrid
Development in cloud, production on-premise, or vice versa.
- ✓Flexibility
- ✓Cost optimization
- ✓Redundancy
Industry Use Cases
Regulated industries like legal, healthcare, and financial services benefit most from private AI that keeps sensitive data on-premise.
Document review and contract analysis without sending client data to third parties.
Patient communication and medical documentation that stays within your PHIPA-compliant infrastructure.
Risk analysis and report generation on sensitive financial data without regulatory concerns.
Internal AI tools that meet security clearance requirements and data sovereignty rules.
Process optimization and quality control AI that protects proprietary manufacturing data.
Investment
One-time setup ranges from $25,000 to $150,000 depending on model complexity, with ongoing hosting at $500-$2,000 per month.
One-time setup depending on complexity
Frequently Asked Questions
Are open-source models as good as ChatGPT?
For most business use cases, yes. Llama 3.1 and Mistral perform comparably to GPT-4 for tasks like document processing, customer support, and content generation. For cutting-edge capabilities, there's a gap, but it closes every few months.
What are the ongoing costs?
Hosting typically runs $500-2,000/month depending on usage and model size. Compare that to $18,000/year for 50 ChatGPT seats.
Can we still use ChatGPT for some things?
Absolutely. Many clients use self-hosted AI for sensitive data and ChatGPT for general tasks. We can build routing logic to send queries to the right system.
How do we update the models?
We handle updates as part of ongoing support, or train your team to do it. Open-source models release updates regularly, and upgrading is straightforward.
What about performance?
Response times are typically 1-5 seconds depending on query complexity and infrastructure. For most applications, this is indistinguishable from cloud AI services.
Calculate Your Potential Savings
Use our free tools to estimate your AI ROI and find cost-saving opportunities.
Industries We Serve
AI for Healthcare
Self-hosted AI that keeps patient data on your infrastructure with full PHIPA compliance.
Learn more →AI for Law Firms
Private AI for document review and contract analysis without exposing client data.
Learn more →AI for Financial Services
On-premise AI infrastructure for risk analysis and sensitive financial data processing.
Learn more →Ready for AI You Actually Own?
Book a free assessment. We'll evaluate your needs and show you what self-hosted AI can do for your business.
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