Solutions · 02 — AI Infrastructure & Cloud
Sovereignty as architecture.
GPU clusters, inference platforms and MLOps built inside the jurisdiction your data belongs to — in a Canadian cloud region, in your data centre, or with no network at all.
Residency written into a contract is a promise. Written into a deployment topology it is a property. We design the network, the key management and the operating model so that data cannot leave, rather than so that it is agreed not to.
What we deliver
Compute
GPU capacity sized to your models and your traffic, provisioned in the location your classification requires.
- Canadian cloud regions
- On-premise clusters
- Air-gapped enclaves
- Capacity planning per workload
Inference platform
Serving that keeps latency predictable under load, with quantisation and batching tuned per model.
- Sub-100ms latency targets
- Autoscaling and batching
- Model routing and fallback
- Private endpoints only
MLOps and LLMOps
The pipeline that keeps a model current after launch: versioning, monitoring, retraining and rollback.
- Model and data versioning
- Drift and quality monitoring
- Scheduled retraining
- One-step rollback
How an engagement runs
01
Classify the workload
Data classification and residency obligations decide the deployment model before any hardware does.
02
Design the topology
Network boundaries, key custody and administrative access drawn and reviewed with your security team.
03
Build and harden
Infrastructure as code, hardened images, and controls tested against the design before go-live.
04
Operate or hand over
We run it under an SLA, or train your team and transfer the runbooks.
Built for regulated environments
Controls that ship with it. Not options to negotiate later — the defaults every engagement starts from.
Client-held keys
Encryption keys stay in your custody; we can operate the platform without them.
No hidden egress
Outbound traffic is denied by default and every exception is documented.
Cleared operations
Administrative access restricted to personnel with the clearance the environment requires.
Reproducible builds
Every environment is rebuilt from code, so what was audited is what is running.