Government & agencies
Align private AI with public accountability, records and jurisdictional requirements.
Private AI hardware
Private AI for organizations with high-trust information.
Control is an architectural requirement when information and institutional responsibility are high-stakes.
Toronto-based Canadian teamGovernance built into deliveryHuman accountability
Workload fit
Start with workload, data sensitivity and operating requirements.
AFA does not treat hardware as a generic box sale. The design should reflect model size, concurrency, memory, storage, networking, security, data location, user workflows and support.
Finance & legal
Support controlled AI use around confidential client and institutional information.
Justice & regulated operations
Define clear access, model, logging and human-authority boundaries.
Architecture
Private and sovereign AI design
Decide what should run locally, what may use cloud services and how information, models and users are governed.
Explore sovereign AI →Procurement
Turn requirements into an infrastructure plan
Translate workloads into a practical compute, storage, networking and implementation sequence.
Procurement readiness →Bring us the decision, workload or capability you need to move forward.
We can help determine the right strategy, governance, training, architecture or infrastructure starting point.