Radiology & diagnostic imaging
Evaluate local compute for image analysis, model testing and research workflows.
Private AI hardware
Private AI compute for medical imaging and biomedical vision.
Medical imaging AI combines demanding visual workloads with high-trust information requirements.
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.
Pathology & laboratory medicine
Support high-resolution visual AI and biomedical image processing.
Privacy-conscious architecture
Match workload placement to organizational policy, contracts and applicable requirements.
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.