Private AI + RAG - Sovereign AI for Data-Sensitive Organisations

Private AI + RAG - Sovereign AI for Data-Sensitive Organisations

AI that never leaves your infrastructure. Zero third-party exposure.

Scroll

AI that never leaves your infrastructure. Zero third-party exposure.

We deploy private AI systems with retrieval-augmented generation on your own infrastructure. Client data, financial records, legal documents - nothing leaves your environment. Zero third-party exposure.

Starting fromFrom AED 150,000 · Sovereign tier from AED 280,000· custom scopes available

On-Premise LLM Deployment

Llama 3, Mistral, Qwen - running on your hardware or private cloud. No data crosses your perimeter.

RAG Over Proprietary Data

Documents, contracts, trading records - chunked, embedded locally, and queryable by AI that knows your business.

Full Stack Private

vLLM or Ollama serving, Weaviate or Qdrant vector DB, RAG middleware, web UI - all inside your network.

PDPL & Sector Compliance

DIFC, ADGM, MOHAP compliance architecture. Data processing agreements signed before any document is ingested.

Arabic + English

Multilingual embedding models. Arabic queries retrieve English documents. Bilingual answers.

Identity Integration

Active Directory, Okta, or SSO. Your existing access controls govern who can query what.

01

Data & Compliance Audit

Document inventory, data classification, regulatory requirements, and threat model. Written compliance plan before any build.

02

Infrastructure Sizing

GPU requirements, network topology, storage. Deployed on your hardware, AWS private VPC, or UAE data centres.

03

Model + RAG Deployment

Model serving, vector database, embedding pipeline, and query API - all inside your perimeter.

04

Security Handover

Full data flow documentation, security walkthrough, and compliance evidence pack for your legal team.

0

Data leaving your infrastructure

Enforced by architecture, not policy

35s

Average query response time

Llama 3 70B on A100, RAG + generation

100%

Arabic language support

Multilingual-e5-large embedding model

5

UAE data centre options

Khazna, du, AWS me-central-1, Azure UAE North, on-prem

Llama 3
vLLM
Weaviate
Qdrant
LangChain
Docker
Private AI + RAG

You Can't Put Your Clients' Data Into ChatGPT.

Your team knows it. Your compliance officer has said it. And yet - people are doing it anyway, because the alternative is doing everything manually.

That's the bind most organisations in finance, legal, healthcare, and real estate find themselves in. The productivity gains from AI are real. So is the data risk. And until now, you had to choose between them.

Private AI resolves this. You get the capability of frontier AI models - without a single byte of client data leaving your infrastructure.


Who This Is For

100%
Data stays within your infrastructure
0
Third-party training on your data
< 2s
Average query response time on-premise
Full
Audit trail on every AI interaction

Private AI is the right architecture for any organisation where:

  • You handle confidential client data - legal matters, financial records, medical information
  • You operate in a regulated sector - banking, healthcare, insurance, government
  • You have data residency requirements - UAE PDPL, GDPR, financial regulator mandates
  • You're dealing with proprietary business intelligence - pricing models, M&A data, trade secrets
  • Your team has stopped using AI tools because security hasn't approved them

What We Build

Private AI Deployment

We deploy AI models entirely within your environment - on-premise servers, private cloud (AWS VPC, Azure Private Link, Google VPC), or air-gapped networks for the most sensitive deployments.

On-Premise LLM Deployment

Open-source models (Llama 3, Mistral, Mixtral) deployed on your hardware. No API calls to external services. No data in transit to third-party infrastructure.

Private Cloud Deployment

Models deployed in your AWS, Azure, or GCP account within an isolated VPC. You control the network perimeter. We handle the model serving infrastructure.

Air-Gapped Environments

For government, defence, and tier-1 financial deployments - fully air-gapped with no external network connectivity required.

Model Selection & Optimisation

We select the right model for your use-case - balancing performance, hardware requirements, and task fit. Quantised models where GPU constraints require it.


Retrieval-Augmented Generation (RAG)

A private LLM without access to your data is still a generic model. RAG makes it intelligent about your organisation - your documents, your policies, your institutional history.

Knowledge Base Ingestion

We ingest your documents - PDFs, Word files, emails, database exports - into a private vector database. Every source tracked, versioned, and permission-controlled.

Semantic Search Layer

When a user asks a question, the system retrieves the most relevant passages from your knowledge base and provides them as context. Answers grounded in your actual data.

Continuous Synchronisation

As your documents change, the knowledge base updates automatically. New policies, updated pricing, amended contracts - the AI always works from current information.

Source Attribution

Every AI response cites the specific documents it used. Your team can verify any answer in seconds. No black-box outputs - full provenance on every response.


Use-Case Applications

Legal Services Contract review, clause extraction, precedent research, and matter summarisation - all on your own infrastructure. No matter leaves your servers.

Financial Services Investment research synthesis, regulatory document Q&A, portfolio analysis, and compliance monitoring - with full audit trails and data residency guarantees.

Real Estate Property documentation analysis, due diligence synthesis, market intelligence compilation, and client-specific investment matching from your own deal database.

Healthcare & Insurance Clinical protocol Q&A, claims processing, policy interpretation, and patient record summarisation - HIPAA and UAE DHA compliant by architecture.

Enterprise Knowledge HR policy Q&A, technical documentation search, onboarding assistant, and institutional knowledge preservation - for organisations tired of answers buried in Google Drive and Teams.


Security Architecture

Security is built into the architecture from day one - not layered on top.

Encryption at Rest & In Transit

All data encrypted at rest using AES-256. All internal API communication via TLS 1.3. Keys managed within your own KMS - we never hold your encryption keys.

Role-Based Access Control

Document-level and query-level permissions. Users only access documents their role permits. The AI cannot surface information the user isn't authorised to see.

Full Audit Logging

Every query, every response, every document access - logged with user ID, timestamp, and full content. Ready for compliance review or security incident investigation.

PII Detection & Redaction

Automated detection and optional redaction of PII in ingested documents and AI outputs. Configurable per document type and user role.


Implementation Timeline

Week 1–2: Requirements & Architecture Security review, data classification, infrastructure assessment, and architecture design sign-off. We work with your IT and compliance teams - not around them.

Week 3–5: Deployment & Integration Model deployment, vector database setup, document ingestion pipeline, and user interface. First working system demonstrated at end of week 5.

Week 6–8: Testing & Hardening User acceptance testing with real documents and queries. Performance tuning, edge case handling, access control validation, and security review.

Month 3+: Ongoing Operations Monthly model updates, knowledge base expansion, user feedback integration, and quarterly security reviews. SLA-backed support on critical systems.


Compliance Coverage

We build Private AI deployments that satisfy the requirements of:

  • UAE PDPL (Personal Data Protection Law)
  • DIFC Data Protection Law
  • ADGM Data Protection Regulations
  • GDPR (for UK/EU operations)
  • HIPAA (healthcare, where applicable)
  • SOC 2 Type II compatible logging and access controls

"We had been blocked from AI adoption for 18 months because of compliance concerns. Codenovai deployed a private RAG system on our own infrastructure in 6 weeks. Our team now uses it daily. No compliance flags. No data leaves our servers."

- Chief Compliance Officer, Financial Services Firm, DIFC Dubai

Certified IFZA Freezone Agent

Calculate Your Setup Cost

Transparent pricing with zero hidden fees. Get your official IFZA license cost instantly.

Total Estimated Cost
AED 12,900
Includes License + Visa Allocation
0 Visas
0 Visas+4 Visas
1 Year
1 Year5 Years
Official IFZA Partner • Technova Solutions

Everything you need to know.

Private AI refers to deploying AI models and infrastructure entirely within your own servers or private cloud — no data leaves your perimeter. For UAE businesses, this matters for several reasons: the UAE Personal Data Protection Law (PDPL) and sector-specific regulations (DIFC, ADGM, MOHAP for healthcare) restrict sending sensitive data to third-party cloud services; precious metals and commodity traders cannot share trade data with US-based cloud providers due to competitive risk; and legal and financial firms have client confidentiality obligations that prohibit using public LLM APIs. Private AI solves all of these.

Retrieval-Augmented Generation (RAG) is an architecture that gives an AI model access to your specific knowledge base without fine-tuning the model. Documents (PDFs, contracts, manuals, price lists) are chunked, converted to vector embeddings, and stored in a vector database. When a user asks a question, the system retrieves the most relevant document chunks and passes them to the language model as context. The result: the model answers based on your proprietary data, not just its training knowledge. A precious metals firm using RAG can ask 'what was the spread on gold on 14 March?' and get an answer sourced from their own trading records.

The highest-ROI use cases we have deployed in the UAE and GCC: precious metals and commodity trading (RAG over price history, compliance documents, and client portfolios); legal (contract review and clause extraction from Arabic and English documents); healthcare (clinical note summarisation, patient intake automation within MOHAP-compliant infrastructure); real estate (property matching, contract generation, AML screening); and government-linked entities that cannot use public cloud by policy. Almost any knowledge-intensive industry where staff spend significant time searching documents or writing structured outputs is a strong candidate.

Yes. We size infrastructure requirements before committing to a spec. For most Small and Medium business use cases, a single GPU server (NVIDIA A10 or A100 with 24–80 GB VRAM) is sufficient to run models like Llama 3 70B, Mistral, or Qwen at production speed. We can deploy on your existing on-premise hardware, AWS private VPC, Azure confidential compute, or a bare-metal server in UAE data centres (Khazna, du Data Centres). The full stack — model serving (vLLM or Ollama), vector database (Weaviate or Qdrant), RAG middleware, and a web UI — runs inside your perimeter.

Security is built into every layer: all document ingestion runs on your infrastructure; embeddings are generated locally (no third-party embedding API calls); the vector database is deployed inside your network; user authentication is handled by your existing identity provider (Active Directory, Okta, or SSO). We sign a data processing agreement before onboarding any documents, conduct a threat model review for each deployment, and document the full data flow for your compliance or legal team. Post-deployment, we perform a security handover walkthrough.

Our Private AI systems support English and Arabic natively — critical for UAE and GCC deployments where contracts, regulatory documents, and communications are bilingual. We work with PDF (including scanned PDFs via OCR), Word documents, Excel spreadsheets, plain text, and structured data from databases. Multilingual embedding models (e.g., multilingual-e5-large) ensure that an Arabic query retrieves English documents with matching content, and vice versa. We can also handle custom proprietary data formats with a brief integration engagement.

Let's talk about Private AI.

Book a free 30-minute session. We'll audit your current setup and identify the highest-leverage opportunity — no pitch, no obligation.