On-Premise GPU Servers
Hardware sizing, installation and hardening for LLM and computer vision workloads in your own facility.
Private AI & In-House GPU Deployment
Run large language models and vision AI on GPU servers inside your own premises or a Saudi data center, so your data never leaves the Kingdom.
Many Saudi organizations cannot send contracts, blueprints, payroll or site footage to a public cloud AI service. We design and deploy AI that runs on infrastructure you control: GPU servers in your own server room, or capacity hosted in a data center inside the Kingdom.
We size the hardware to the workload, install and secure open-weight language models and vision models, and connect them to your documents and systems through private retrieval pipelines. Prompts, documents and model outputs stay on your network, with role-based access and audit logs.
Our solutions are designed to support your data residency and data protection obligations, including the Saudi Personal Data Protection Law (PDPL) and National Cybersecurity Authority (NCA) controls. Your compliance team remains the authority on what your organization requires; we build the technical foundation so that the answer can be yes.
Data Stays In-Kingdom
Local data storage and inference with no calls to foreign AI APIs, plus encryption and audit logging.
Private RAG over Your Documents
Ask questions in Arabic or English across contracts, specifications and policies, with answers linked to the source page.
Model Fine-Tuning
Adapt open-weight models to your terminology, forms and workflows without sharing training data externally.
Why choose Loops?
- Sensitive data never leaves your control
- Predictable cost instead of per-token fees
- Low latency on your own network