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Enterprise systems
ERP, CRM and SCADA connect through approved internal interfaces.
What this gives you
Put existing operational data to work without copying it into an external AI service.
Private AI infrastructure
Complete AI Autonomy.
On-Prem LLM & AI Infrastructure for private model serving, high-performance GPU compute and governed enterprise data inside your air-gapped data centre or private cloud.
Complete control across the on-prem AI stack
Choose a layer to see how performance, model control, enterprise knowledge and governance work together inside your perimeter.
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Hardware & compute orchestration
Bare-metal and virtualized GPU clusters, NVIDIA HGX, H100/A100 and specialised accelerators with vGPU partitioning.
- High-bandwidth NVMe storage
- InfiniBand / RoCE networking
- Parallel model inference
Interactive infrastructure blueprint
Your secure enterprise perimeter, made visible.
Your secure enterprise perimeter
Click a component to see both its role in a local, governed AI environment and the practical benefit it creates for your teams.
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Private API gateway & guardrails
Encrypted queries are authenticated, authorised and governed before reaching a model.
What this gives you
Give every team a safe AI entry point with policy controls applied before a response is generated.
Selected component
Private vector DB
Sensitive enterprise knowledge stays self-hosted and is retrieved only within each user’s access boundary.
What this gives you
Return useful, source-grounded answers while respecting each employee’s document permissions.
Selected component
On-prem LLM engines
Private model serving runs locally through vLLM, TensorRT-LLM or another appropriate engine.
What this gives you
Keep model choice, throughput and fine-tuning under your control without exposing each query to a SaaS provider.
Selected component
Governed GPU compute
Bare-metal or virtualised acceleration provides the capacity, performance and control your workloads require.
What this gives you
Deliver fast, predictable AI performance for critical workloads on infrastructure you own.
Why leading enterprises move AI on-premises?
Control changes the operating model.
Cloud AI APIsOn-premises enterprise AI
Data leakage risk: Prompts and data cross perimeter boundaries.
Total isolation: Data never leaves your physical network.
Variable API costs: Unpredictable monthly token billing.
Predictable ROI: Fixed hardware costs and controlled token output.
Vendor lock-in: Provider uptime and model deprecation shape your options.
Complete ownership: Keep model weights, fine-tunes and code under your control.
Latency & bandwidth: External internet pipes define response time.
Ultra-low latency: Local LAN speeds support real-time applications.
High-security and regulated sectors
Keep sensitive intelligence where it belongs.
Financial servicesInternal quantitative analysis, contract processing and risk modelling on protected records. Healthcare & life sciencesPatient, clinical-trial and biomedical research processing without external exposure. Public sector & defenseAir-gapped intelligence systems for locally processed classified documents. Industrial & critical infrastructureOperational AI assistants integrated with local SCADA and MES networks.