Overview
The Ghaim Enterprise Generative AI Package is a professional service designed for organizations that want to leverage Large Language Models (LLMs) without compromising data security. As an Advanced AWS Partner with the DevOps Competency, we specialize in moving AI from experimental prototypes to production-grade, secure, and cost-optimized environments.
Technical Implementation & AWS Services
We provide a dual-track approach to AI implementation:
Serverless AI (Amazon Bedrock): We build RAG (Retrieval-Augmented Generation) systems that connect your private document stores to models like Claude, Llama, and Titan. Using Amazon OpenSearch as a vector database, we ensure your AI provides accurate, context-aware responses using only your proprietary data.
Managed GPU Training (Amazon SageMaker): For specialized industries (Healthcare, Finance, Research), we orchestrate high-performance GPU clusters (P4/P5 instances) on Amazon SageMaker to fine-tune open-source models on your private datasets, delivering proprietary intelligence that you own completely.
Security & Sovereignty
Data privacy is our core focus. We architect all AI solutions using AWS PrivateLink and encrypted data perimeters to ensure your data never leaves your VPC and is never used to train public models. Whether you are meeting GDPR, PDPL, or HIPAA standards, Ghaim ensures your AI journey is compliant and secure from day one.
Highlights
- Private RAG Architectures: We connect Amazon Bedrock to your enterprise data sources to enable accurate AI insights while ensuring that your sensitive information remains 100% private and never traverses the public internet.
- Custom GPU Orchestration: We provide deep expertise in managing NVIDIA-powered AWS instances for fine-tuning and training models on Amazon SageMaker, allowing you to build domain-specific AI that outperforms generic models.
- Production-Grade AI DevOps: Leveraging our DevOps Competency, we automate the scaling, monitoring, and cost-management of your AI workloads, ensuring your models are reliable and cost-efficient at enterprise scale.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
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Support
Vendor support
We provide dedicated support for all compliance and architecture inquiries related to this package.
Availability: Sunday to Thursday, 9:00 AM – 6:00 PM (Riyadh Time).
Channels: Direct support via email (contact@ghaim.io ) and a dedicated Whatsapp channel for active engagements.
SLA: We guarantee an initial response within 24 hours for all technical or documentation queries.
Scope: Support covers clarification on SAMA/PDPL controls, assistance with the provided templates, and guidance on AWS architecture configurations included in this package.
Support Email: contact@ghaim.io Support Phone Number: +971551471050