Build sovereign AI systems that you control.
Design, train, deploy, and host AI for governments, enterprises, healthcare, industry, and institutional teams that need privacy and control.
Real infrastructure. Available now.
Live capacity from our pooled sovereign GPU network — refreshed every minute, ready for your training and inference workloads.
across our sovereign compute network
pooled across our network
available right now
Launch sovereign AI training in minutes.
Upload your corpus, select a model, and launch private AI training on Canadian-hosted sovereign infrastructure. Each package is a one-time training credit that becomes active in your dashboard after purchase.
Self-Serve Fine-Tuning
Adapt open-weight models to your private knowledge.
starting per training run
Best for adapting open-weight sovereign models to private company knowledge, workflows, and terminology.
Includes
- 24-hour training window
- Automated GPU allocation
- QLoRA and LoRA support
- Upload TXT, MD, CSV, and JSON corpuses
- Private workspace storage
- Fine-tuning on supported sovereign models
- Automatic checkpoint packaging
- Downloadable adapters and artifacts
- Basic evaluation reporting
- Optional hosted inference endpoint
Ideal for
Limits
- · Optimized for small to medium corpuses
- · Shared compute priority
- · Community support
Self-Serve Pre-Training
Build specialized sovereign intelligence from your data.
starting per training run
Build specialized sovereign intelligence from large proprietary datasets and domain-specific corpuses.
Includes
- 24-hour dedicated training window
- Higher-memory GPU allocation
- Continued pre-training workflows
- Curriculum and dataset preprocessing
- Long-context training support
- Tokenizer adaptation support
- Intermediate checkpoint exports
- Advanced evaluation suite
- Quantization-ready artifacts
- Hosted model deployment options
Ideal for
Limits
- · Large dataset uploads supported
- · Advanced users recommended
- · Usage-based storage retention
Frontier Sovereign Training
Frontier-scale experimentation for your AI program.
starting per training run
Advanced sovereign AI experimentation for organizations building proprietary model capabilities.
Includes
- Premium GPU infrastructure
- Large-scale distributed training orchestration
- Frontier-scale context windows
- Full fine-tuning and adaptation workflows
- Synthetic dataset generation tools
- Research-grade evaluation tooling
- Quantization and deployment pipelines
- Priority training queue
- Artifact retention and export
- Dedicated inference deployment options
Ideal for
Limits
- · Requires technical familiarity
- · Compute-intensive workloads monitored
- · Subject to fair-use policies
Extend, deploy, and evaluate.
Add training packages and optional add-ons to the same cart, then check out together in one Stripe purchase.
Due now: $0.00 · Recurring monthly: $0.00
Training upgrades
Extended Training Window (+24h)
+$149 CADper training run
Continue training for an additional 24 hours to improve convergence, specialization, and long-context adaptation quality.
Extended Optimization (+72h)
+$399 CADper training run
Three-day extended optimization window. Additional epochs, checkpoint continuations, and evaluation snapshots for serious adaptation work.
Dedicated Compute Reservation
+$999 CADper training run
Reserved high-priority compute allocation for your training job. No queue wait, no shared-node contention.
Evaluation & analysis
Advanced Evaluation Suite
+$249 CADper training run
Red-team analysis, hallucination scoring, and benchmark comparison reports for your trained model.
Deployment & hosting
Quantized WebGPU Package
+$99 CADone-time per model
Browser-ready GGUF / WebGPU packaging optimized for MapleOS and edge deployment.
Dedicated Inference Endpoint
+$29/month CADHosted private inference API with scale-to-zero deployment for your trained model.
Extended Artifact Retention
+$19/month CADLong-term storage for checkpoints, adapters, and intermediate snapshots beyond the default retention window.
Priority Queue Access
+$149/month CADFaster training dispatch and reserved compute availability across all your training runs.
Engineering for those that care about ownership, performance, and control.
CanXP AI is not a generic AI wrapper. We build the model, deployment, and infrastructure layer required for serious institutional use.
Control the asset
Sovereign ownership
Retain control over model weights, datasets, inference environments, and deployment decisions without handing strategic assets to third-party platforms.
Deploy where it belongs
Private deployment
Deploy in your cloud, your facility, a private cluster, or an air-gapped environment with controls built for regulated operations and sensitive workloads.
Run closer to the user
Edge and WebGPU optimization
Bring low-latency inference to browsers, desktops, and edge environments with WebGPU pipelines and compact model optimization for real-world usage.
Engineer the full system
Full-stack AI engineering
Move from dataset strategy to training, evaluation, serving, observability, and integration with one engineering partner accountable for delivery.
Sovereign AI is an operating decision, not a branding exercise.
Institutions need AI infrastructure that respects jurisdiction, supports compliance, and keeps critical capability under their control as deployment scales.
Data jurisdiction
When sensitive prompts, documents, and model telemetry flow through foreign infrastructure, jurisdictional ambiguity becomes an operational risk.
Operational control
Mission-critical AI cannot depend on opaque platform changes, shifting model policies, or external roadmaps that your team does not control.
Compliance exposure
Healthcare, public sector, research, and industrial teams need traceable deployment choices that support procurement, audit, and governance requirements.
Infrastructure independence
Sovereign AI infrastructure reduces vendor concentration risk and gives your organization a durable path to internal capability, not rented access.
Explore the core of CanXP AI.
CanXP AI is building a stronger semantic architecture around sovereign AI, private AI, model training, Canadian infrastructure, and sector-specific deployment.
Sovereign AI Canada
Sovereign AI Canada
CanXP AI helps Canadian organizations deploy sovereign AI systems, private assistants, secure knowledge bases, and model training programs under Canadian jurisdiction.
Read the pageAI Model Training Services
AI Model Training
CanXP AI helps organizations fine-tune, pre-train, quantize, and deploy private small language models on proprietary knowledge under Canadian control.
Read the pageSmall Language Models
Small Language Model Training
Build and adapt small language models for Canadian enterprise, healthcare, legal, and industrial workflows with CanXP AI.
Read the pagePrivate AI for Business
Private AI
Deploy private AI assistants, secure knowledge bases, and confidential AI workflows with CanXP AI under Canadian control.
Read the pagePIPEDA-Compliant AI
PIPEDA-Compliant AI
Understand what PIPEDA-compliant AI means for Canadian businesses and how CanXP AI supports jurisdiction, privacy, and governance-conscious deployment.
Read the pageCanadian AI Infrastructure
Canadian AI Infrastructure
Learn how CanXP AI approaches Canadian AI infrastructure, sovereign compute, and private deployment for regulated and enterprise workloads.
Read the pageEnterprise AI services for secure deployment, customization, and long-term ownership.
CanXP AI helps organizations deploy, adapt, and operate private AI systems with confidence. From scoped service packages to full enterprise programs, we provide the architecture, implementation, and deployment planning needed to build sovereign AI capability.
Starter Fine-Tuning
Starting at $18,000 CAD
A fast engagement for teams that need a private model adapted to a defined domain, internal corpus, or operational workflow.
In scope
- Model and use-case scoping workshop
- Dataset review and preparation guidance
- Supervised fine-tuning configuration
- Evaluation set creation and benchmark reporting
- Inference packaging for private deployment
- Handover documentation and technical review
Best for
Best for pilot deployments, internal copilots, and domain adaptation projects with a clear dataset and delivery timeline.
Advanced Sovereign Adaptation
Starting at $45,000 CAD
A deeper adaptation program for organizations that need private model behavior tuned to internal processes, governance, and production realities.
In scope
- Multi-stakeholder architecture workshop
- Custom evaluation and red-team criteria
- Workflow and knowledge integration design
- Inference optimization and serving strategy
- Governance, observability, and rollout planning
- Executive readout and deployment roadmap
Best for
Best for regulated teams, multi-department rollouts, and organizations moving from proof of concept to production.
Frontier Sovereign Model Development
Starting at $250,000 CAD
A full model development engagement for institutions building proprietary sovereign capability, not just adapting someone else’s system.
In scope
- Training strategy and compute planning
- Tokenizer, architecture, and dataset design
- Synthetic data and curriculum development
- Safety evaluation and alignment testing
- Serving stack and deployment engineering
- Leadership reporting and commercialization planning
Best for
Best for national, industrial, and institutional programs that require proprietary models, internal IP creation, and long-term control.
Edge & Browser AI Optimization
Starting at $22,000 CAD
Optimize compact models for browser, desktop, kiosk, and edge environments where latency, privacy, and offline capability matter.
In scope
- Model compression and runtime tuning
- WebGPU deployment pipeline design
- Browser and edge benchmark profiling
- Latency, memory, and throughput optimization
- Client-side inference integration support
- Deployment runbook and technical handoff
Best for
Best for browser products, field devices, secure workstations, and on-prem user experiences that cannot rely on constant cloud inference.
Sovereign AI Hosting Platform
Starting at $8,000/month CAD
Enterprise deployments: $25,000–$250,000+/month
Private hosting, serving, and operational support for organizations that need secure sovereign inference infrastructure without compromise.
In scope
- Private hosting architecture and rollout planning
- Model serving, scaling, and observability stack
- Deployment controls for compliance-sensitive teams
- Dedicated environment management and uptime support
- Private networking and access control configuration
- Ongoing optimization, reporting, and engineering support
Best for
Best for government, healthcare, university, and enterprise deployments that require long-term operational ownership and managed reliability.
Add specialized infrastructure, testing, and deployment workstreams as needed.
These add-ons are commonly paired with sovereign adaptation, hosting, and deployment programs when teams need deeper data engineering, private infrastructure, or implementation support.
Dataset Engineering
$15K+Corpus design, cleanup, labeling strategy, and domain-specific training set preparation.
Synthetic Data Generation
$25K+Synthetic expansion pipelines for scarce, sensitive, or specialized training data.
AI Safety & Alignment Testing
$20K+Safety evaluation, adversarial testing, and policy alignment for high-stakes deployments.
RAG / Knowledge Integration
$30K+Private retrieval, indexing, and knowledge orchestration across internal content systems.
WebGPU Deployment Pipeline
$20K+Runtime packaging and deployment tooling for performant browser-based inference.
Private GPU Cluster Deployment
$100K+Cluster architecture, orchestration, security controls, and model serving setup.
Dedicated H200 Infrastructure
CustomReserved high-performance infrastructure for advanced training and sovereign hosting programs.
Air-Gapped Deployment
CustomDeployment design for isolated environments with strict operational and security boundaries.
AI Surface Integration
CustomEmbed AI into portals, internal tools, operational systems, and customer-facing workflows.
MapleOS AI Deployment
CustomDeploy models and workflows inside CanXP AI operating environments and controlled user surfaces.
Bring us the mandate, the constraint set, and the deployment target.
We work with governments, healthcare groups, universities, industrial firms, and enterprise teams that need sovereign architecture, private deployment, or model engineering support.