Scalable, sovereign AI infrastructure designed for the demands of modern enterprise. We architect cloud and on-premise environments that prioritise performance, security, and data residency — your AI workloads stay on South African soil.
Deployment Options
Every organisation has different infrastructure, compliance requirements, and budget constraints. We architect the right combination — not a one-size-fits-all package.
Deploy AI models and infrastructure entirely on your own hardware, within your facility. Maximum data control, zero network egress, POPIA-perfect.
Dedicated, isolated cloud infrastructure in South African data centres. Enterprise performance with cloud flexibility — but data sovereignty guaranteed.
Intelligently bridge on-premise compute with cloud burst capacity. Sensitive workloads stay local; less sensitive or peak-load workloads use cloud elasticity.
Technologies
We select and configure the right combination of open-source and managed tools for your workload, performance targets, and budget.
The simplest path to running open-source LLMs locally. We deploy and manage Ollama instances on your hardware, configure model serving, and integrate it with your applications via REST API.
Access to 500,000+ open-source models. We help you identify the right model for your task, set up private model repositories, and deploy via the Hugging Face Inference API or self-hosted TGI/vLLM.
Rate limiting, caching, analytics, and observability across all your AI API calls. We configure Cloudflare AI Gateway as a secure, auditable proxy layer — reducing costs and adding control.
Power your RAG applications and semantic search with locally-hosted vector stores. We architect and manage pgvector, Qdrant, or Weaviate deployments optimised for your document volumes.
Production-grade Kubernetes and Docker deployments for your AI workloads. Auto-scaling, rolling updates, health checks, and resource quotas — so your AI is always available.
Automated model training pipelines, experiment tracking, performance monitoring, and drift detection — so your models stay accurate as your data evolves.
Comparison
| Factor | On-Premise / Private Cloud | Public Cloud AI (OpenAI, etc.) |
|---|---|---|
| Data Sovereignty | check_circle Full — stays in SA | cancel Data sent offshore |
| POPIA Compliance | check_circle Guaranteed | warning Needs careful management |
| Ongoing Cost | check_circle Predictable, decreasing | cancel Per-token, scales up fast |
| Vendor Lock-in | check_circle None — open source | cancel API changes affect you |
| Customisation | check_circle Full fine-tuning control | warning Limited to provider options |
| Setup Complexity | warning Requires expertise | check_circle Low initial friction |
| Uptime & SLA | check_circle You control it | warning Provider-dependent |
| Model Transparency | check_circle Full — open weights | cancel Black box |
Our hybrid approach gives you the best of both — sensitive workloads stay local, while less sensitive tasks can optionally leverage public cloud when cost efficiency warrants it.
FAQ
Absolutely. Tools like Ollama make running open-source models (Mistral 7B, LLaMA 3, Phi-3) on standard server hardware very accessible. For smaller models, a modern server with a mid-range GPU is sufficient. We handle the full deployment, configuration, and integration — you get a working local AI endpoint without any cloud dependency.
For general conversation, frontier models like GPT-4 and Claude 3 Opus are still ahead. However, for specific, well-scoped business tasks — document processing, classification, internal Q&A, structured data extraction — fine-tuned local models of 7–13B parameters perform comparably at a fraction of the ongoing cost. We help you make this tradeoff honestly based on your actual use case.
We partner with local infrastructure providers including Teraco, Liquid Intelligent Technologies, and Vox Telecom data centres with Johannesburg and Cape Town availability zones. We can also work with your existing hosting provider if they meet security requirements. All deployments are contractually guaranteed to remain within South African borders.
We offer managed service packages covering model updates, infrastructure monitoring, security patching, performance optimisation, and model retraining as your data evolves. Ad hoc support is also available. Every deployment includes a 30-day hypercare period with dedicated support from the team that built your solution.
Yes — and this is actually a common pattern. We architect all solutions to be infrastructure-agnostic from day one, so migrating from a managed SA cloud deployment to on-premise (or vice versa) is a configuration change, not a rebuild. Many clients start with our private cloud offering while procurement for on-premise hardware completes.
Stop sending sensitive business data to offshore APIs. Let's design an AI infrastructure that keeps your data sovereign, your costs predictable, and your business in control.