LiDAR & point clouds
Accelerate 3D spatial processing and AI-assisted analysis.
Private AI hardware
Private AI compute for geospatial, LiDAR and critical infrastructure.
Geospatial AI combines very large visual datasets with operational and sometimes critical-infrastructure 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.
Satellite & remote sensing
Support imagery, environmental and geospatial model workloads.
Utilities & infrastructure
Plan private AI around operational data, reliability and governance.
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.