Enterprise AI That Stays
Inside Your
Infrastructure
DigiSurface deploys private Large Language Models, document intelligence, and predictive analytics directly on enterprise servers in Gurgaon and across the Middle East — with no data sent to OpenAI, Google, or any external cloud. Essential for Oman CITA, Saudi NDMO, and India DPDP Act compliance.
On-Premise AI Solutions for India & the Middle East
Every solution runs entirely on your infrastructure — your GPU servers, your private cloud, or your air-gapped data centre. No subscription to OpenAI. No data exposure.
Deploy Meta Llama 3, Mistral, or Microsoft Phi-3 on your own servers — quantised for your available GPU or CPU hardware. DigiSurface handles model selection, hardware sizing, deployment, API gateway, and ongoing maintenance.
AI that reads, understands, and answers questions from your internal documents — contracts, policies, manuals, financial reports, and ERP data. Built on RAG (Retrieval Augmented Generation) with your private document store.
Machine learning models trained on your own ERP, CRM, and operational data — predicting demand, detecting anomalies, forecasting cashflow, and identifying risk — all running on your servers without external data transfer.
Internal AI assistants for HR, IT helpdesk, finance queries, and customer service — trained on your organisation's policies and connected to your data. Arabic language support for GCC enterprises with bilingual English/Arabic responses.
For defence, government, and financial enterprises with zero external connectivity requirements — DigiSurface deploys and configures the complete AI stack in an air-gapped environment with no internet access required at any point.
Connect your private LLM to D365, SAP, SharePoint, and SQL databases — enabling natural language queries of your ERP, AI-powered report generation, and intelligent search across all enterprise systems on-premise.
Why On-Premise AI Matters for India & the Middle East
Cloud AI services send your data to servers in the US or Europe. For regulated enterprises in India and the GCC, this creates compliance, confidentiality, and sovereignty risks that on-premise AI eliminates entirely.
India's Digital Personal Data Protection Act 2023 requires controlled processing of personal data. Sending employee or customer data to foreign AI cloud services may breach DPDP obligations. On-premise AI keeps all data inside India.
Oman's CITA regulations require specific data categories to remain within Oman's borders. Enterprises in Muscat — including financial institutions, government entities, and utilities — must deploy AI on local infrastructure.
Saudi Arabia's National Data Management Office and National Cybersecurity Authority require data localisation for government and critical infrastructure sectors. On-premise AI ensures AI workloads stay on Saudi infrastructure.
On-Premise AI Questions
What is an on-premise AI solution?
An on-premise AI solution deploys AI models — including LLMs like Llama, Mistral, or Phi — directly on your own servers inside your data centre or private cloud. No data is sent to OpenAI, Google, or any external service. This gives your enterprise complete data privacy, sovereignty, and compliance with India's DPDP Act, Oman's CITA, and Saudi Arabia's NDMO requirements.
Do I need expensive GPU servers for on-premise AI?
Not necessarily. Many use cases — document Q&A, HR chatbots, policy search — can run efficiently on CPU-only servers or entry-level GPUs using quantised LLM models. For high-throughput or real-time applications, GPU servers provide much better performance. DigiSurface recommends the right hardware configuration based on your specific use case, user volume, and budget during the free consultation.
Which AI models do you deploy on-premise?
DigiSurface deploys open-source LLMs including Meta Llama 3 (8B and 70B), Mistral 7B, Microsoft Phi-3, and Google Gemma — all quantised for your hardware. For Arabic language support in the GCC, we deploy Arabic-tuned variants of these models. The right model depends on your use case, response quality requirements, and server hardware.
Can the AI connect to our existing ERP and SharePoint?
Yes. DigiSurface connects the private LLM to your D365, SAP, SharePoint, SQL databases, and document repositories — using RAG (Retrieval Augmented Generation) and vector databases. This allows your employees to ask natural language questions and get answers sourced from your actual company data, all processed on-premise.
Ready to Deploy AI
Without Compromising Your Data?
Book a free 10-hour on-premise AI consultation — for enterprises in Gurgaon and across the Middle East. We'll assess your use case, recommend the right LLM, size your hardware, and map the deployment to your compliance requirements.
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