Private model hosting
Run language models in your own environment or through enterprise endpoints configured to your data-handling requirements.
AI operations
Private AI Infrastructure Enterprise AI, inside your walls.
We deploy AI models, agents, and the applications around them inside your own cloud tenancy or on-premises infrastructure, so sensitive data stays under your control and within your policies.
Scope, delivery, and pricing are agreed for your organization. Prefer email? Enquire
- Environments
- Private cloud or on-premises
- Controls
- SSO, roles, and audit logging
- Models
- Commercial and open-weight
- Handover
- Documented and supported
Overview
Built for security review
Architecture, access controls, logging, and data handling are documented so your IT and security teams can assess them with confidence.
Choose the environment that fits your risk profile, from a dedicated cloud tenancy to fully on-premises infrastructure.
- Your data stays yours
- Identity integration
- Complete audit trail
- Documented architecture
Capabilities
What we deliver
The core capabilities of Private AI Infrastructure, shaped around your workflows and systems.
Knowledge and retrieval
Connect models to approved internal documents with permission-aware search, so people only see what they are entitled to.
Operational tooling
Monitoring, usage reporting, logging, and cost controls that let your team operate AI with confidence.
Technology
The technology behind it
We use proven, well-supported technology and choose it for each engagement. These are the platforms and tools we most often bring to Private AI Infrastructure work.
Model serving
Open-weight and commercial models served inside your boundary.
- vLLM
- NVIDIA Triton Inference Server
- Ollama
- Meta Llama
- Mistral
- Qwen
Enterprise AI platforms
Enterprise endpoints with regional hosting and no training on your data.
- Azure OpenAI Service
- Amazon Bedrock
- Google Vertex AI
- Private networking and VPC endpoints
Infrastructure
Reproducible environments your IT team can operate and audit.
- Kubernetes
- Docker
- Terraform
- NVIDIA GPUs
- Microsoft Azure
- Amazon Web Services
- Google Cloud
- On-premises servers
Security and governance
Identity, keys, and logging integrated with your existing controls.
- Microsoft Entra ID (SSO)
- Role-based access control
- Azure Key Vault
- AWS KMS
- Audit logging
- Guardrails and content filtering
Final technology choices are confirmed during scoping, based on your existing systems, security requirements, and budget. Product names are trademarks of their respective owners; listing them does not imply a partnership.
How we deliver
A clear path from idea to impact
Every engagement follows the same disciplined path, sized to your needs, with agreed scope, milestones, and success measures.
Assess requirements
Review data sensitivity, regulatory obligations, infrastructure, and existing security controls.
Design the architecture
Select models, hosting, identity integration, and network boundaries, and document them for approval.
Deploy and validate
Stand up the environment, test security and performance, and validate outputs on your use cases.
Hand over and support
Deliver runbooks and training, and support your team in operation.
Why EngLogics
What you gain by working with us
Technology is only part of the answer. These commitments shape every Private AI Infrastructure engagement, and they are why organizations choose a specialist partner.
Security architecture first
We design identity, network boundaries, encryption, and logging with your IT and security teams before a model is deployed.
The right model for the constraint
We benchmark open-weight and commercial models on your tasks, so you understand the trade-off between accuracy, cost, and control.
Infrastructure you can operate
Everything is defined as code and documented, so your team can run, audit, and scale it without us.
Data residency built in
We are based in Canada and design for regional data residency, keeping processing within the jurisdiction your policies require.
Built for enterprise
Designed to be trusted
Security, oversight, and maintainability are part of the design from the first conversation, not added at the end.
Your data stays yours
Deployments are configured so your data is not used to train third-party models.
Identity integration
Access follows your existing single sign-on and role structure.
Complete audit trail
Prompts, actions, and access can be logged to meet your governance needs.
Documented architecture
Every component is documented for security review and operation.
Outlook: the future of AI
AI capability that belongs to you
Open-weight models have closed much of the gap with the largest commercial models, and inference hardware gets more efficient every year. Running capable AI inside your own environment is becoming a practical choice rather than a compromise.
- Now
Private endpoints
Enterprise cloud AI services with regional hosting, private networking, and no training on your data.
- Next 2–3 years
Hybrid model estates
Sensitive workloads run on self-hosted models while other work uses commercial APIs, all behind one governed gateway.
- Longer term
AI at the edge
Smaller, specialized models run on plant, site, and field hardware, and keep working when connectivity is limited.
Questions
Before we begin
Bring a description of your current process, the systems involved, and the outcome that would matter most to your team.
Cloud or on-premises: which is right for us?
It depends on data sensitivity, existing infrastructure, and cost. We compare the options for your situation during assessment.
Can you work with our IT and security teams?
Yes. We work alongside your teams, provide the documentation they need, and fit within your change-management process.
Which AI models can you deploy?
We select models for each use case, including commercial models through enterprise endpoints and open-weight models that run entirely in your environment.
Start a conversation
Let’s put AI to work on your processes
Tell us about the workflow, the systems involved, and the outcome you need. We will respond with practical next steps for scoping your project.