Africa's Intelligence Infrastructure

Building Africa's AI-Native Data Infrastructure

Enterprise-grade GPU compute, secure model hosting, and fintech intelligence — designed for Africa's data sovereignty and performance needs.

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Infrastructure

Enterprise-Grade AI Infrastructure

Built for scale, security, and performance. Our platform offers local compute with strong data-protection controls to run modern AI workloads in South Africa.

GPU Cloud & Compute Leasing

On-demand, high-throughput instances for training and inference with local data residency.

  • L40S/A100 class instances
  • Fast NVMe scratch storage
  • VPC isolation & private networking
  • Optional dedicated hosts
  • Local data residency

Private AI Hosting

Dedicated LLM pods for your data, your controls, your latency — bring your own model or use open-weights.

  • Fine-tuning & LoRA adapters
  • Vector search & RAG connectors
  • Tokenization & autoscaling
  • Per-tenant observability
  • BYO datasets support

AIOps for Enterprises

Predictive monitoring and automated remediation across networks and apps.

  • Telemetry ingestion at line rate
  • Anomaly detection & modeling
  • Suggested actions & workflows
  • Faster incident response

POPIA Residency & Compliance

Data stays local. We design for POPIA principles: purpose limitation, data minimization, and security safeguards.

  • Regional data residency
  • Encryption in transit & at rest
  • Access logging & audit trails
  • Vendor-neutral colocation
Intelligence

AI Orchestration & Development

From APIs to agents, we provide the tools and infrastructure to build intelligent applications at scale.

Orchestration APIs

RESTful APIs for seamless AI model deployment and management.

curl -X POST https://api.stpnetworks.co.za/v1/models/deploy

AI Agents

Pre-built agents for common business workflows and automation.

const agent = new STPAgent({ model: "gpt-4", tools: [...] })

Fine-tuning

Custom model training on your data with our specialized infrastructure.

stp fine-tune --model llama-2 --data ./training-data

Vector Databases

High-performance vector storage for RAG and semantic search.

db.query(embedding, { top_k: 10, filter: { category: "finance" } })
Fintech Intelligence Cloud

Financial Intelligence, Delivered as APIs

From fraud flags to credit scoring, our models and agents turn raw transactions into decisions. Built for high-throughput rails, POPIA-aware by design.

Fraud & Risk Detection

Streaming risk signals for cards, EFT/ACH, and alternative payment flows.

Real-time anomaly scoring
Device & behavioral signals
Explainable outputs

Credit Scoring (Alternative & Augmented)

Model frameworks for thin-file or underserved markets.

Traditional + alternative data
Transparent features
Bias checks & monitoring

RegTech Automation (KYC/AML)

Automate checks, monitoring, and reporting.

KYC/KYB orchestration
Sanctions/PEP screening
Ongoing AML monitoring

Financial Agents

Task-focused assistants for operations teams.

Dispute summarization
Reconciliation assistants
Natural-language queries
Green Compute

Powered by STP Solar

We're designing for efficient power utilization and renewable integration. Target PUE: 1.2. Full sustainability metrics will be published post-launch.

STP Solar Integration

Powered by renewable energy from our solar infrastructure.

85% renewable energy

Low PUE Targets

Power Usage Effectiveness optimization for maximum efficiency.

PUE < 1.2

Smart Load Balancing

AI-driven workload distribution to minimize energy consumption.

30% energy savings

Carbon Neutral

Offset remaining emissions through verified carbon credits.

Net Zero by 2035
Performance

Design Targets & Launch Capacity

Our infrastructure is designed to deliver the performance and reliability your business demands.

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Enterprise Clients
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Building the future of AI infrastructure in Africa

*Figures reflect design targets and will be published with live status once GA.

Ready to Build the Future?

From networks to intelligence: STP Networks fuses high-performance compute with software orchestration so teams can deploy AI safely, quickly, and locally.