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
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
Calculate Your Setup Cost
Transparent pricing with zero hidden fees. Get your official IFZA license cost instantly.
