Private AI for UAE business.
Built to ship, not to demo.
Your AI pilot works in a demo. It breaks when it hits real customers, real data, and real compliance. I deploy private AI inside UAE businesses in six weeks — on your hardware, under your law, by the engineer who built it.
Solutions for Business Leaders
Clear outcomes with measurable business value.
Keep Data Private
AI that never sends data outside your network.
- On-premise LLM deployment with zero external data transmission
- Full UAE data residency and PDPL compliance
- Air-gapped installation available for maximum security
- Complete audit trail and granular access controls
Ideal for:UAE clinics handling patient data under DHA/DoH regulations · Law firms under bar confidentiality rules · Any SME with PDPL obligations
Find Answers Fast
Turn document chaos into instant knowledge retrieval.
- RAG-powered search across all your internal documents
- Natural language Q&A with source citations
- Works with PDFs, Word, emails, and legacy systems
- Sub-second response times at scale
Ideal for:Law firms with case archives · Accounting firms with client records · Consulting firms with proposal libraries
Automate Repetitive Work
AI agents that handle the tasks your team shouldn't.
- Intelligent document routing and classification
- Automated data extraction and form processing
- Multi-step workflow automation with human oversight
- 10x reduction in manual review time
Ideal for:Clinics with manual insurance pre-authorization · Real estate brokerages drowning in listing admin · Back-offices doing CV/invoice triage
Scale Customer Support
Handle 10x the volume without 10x the headcount.
- Voice AI with custom ASR optimized for your domain
- Smart chatbots that escalate intelligently
- Seamless handoff to human agents when needed
- Deployed in production in weeks, not months
Ideal for:Clinics fielding appointment requests · Real estate agencies after hours · Multi-branch F&B chains
Integrate Cloud AI
Production-ready AI without the infrastructure burden.
- OpenAI, Claude, and Gemini API integration
- Prompt engineering and response optimization
- Cost controls and usage monitoring built-in
- Hybrid architecture when privacy requirements vary
Ideal for:SMEs piloting AI without infra investment · Innovation teams · Rapid prototyping projects
Verify Identity at Scale
Fraud prevention that doesn't slow down legitimate users.
- Facial recognition with liveness detection
- Automated document verification and validation
- Real-time fraud scoring and risk assessment
- UAE Pass and Emirates ID integration
Ideal for:UAE fintech and exchange houses · KYC-intensive operations · Regulated industries
Optimize Data Pipelines
When your data outgrows your infrastructure.
- Database migration and architecture optimization
- Query performance tuning for 10-50x improvements
- Scalable architecture design for growing datasets
- Real-time analytics without the latency
Ideal for:Data-heavy UAE SMEs · Analytics teams at mid-market firms · High-growth companies
Personalize User Experience
Recommendations that actually convert.
- Behavioral embeddings and ML-powered recommendations
- A/B testing infrastructure for algorithm optimization
- Real-time personalization at scale
- Content and product recommendations that drive engagement
Ideal for:E-commerce in UAE/GCC · Content platforms serving bilingual audiences · Media companies
18+ years in production ML. Now I build private AI for UAE businesses.
Your data stays in the UAE
I deploy on your hardware. No API calls. No cross-border transfer.
- On-premise LLM on your own server — data never leaves your building
- PDPL-compliant by default. DHA/DoH and bar confidentiality handled
- Air-gapped option for maximum security
I ship in weeks, not quarters
No RFPs, no committees, no hand-offs to junior staff.
- POC in 2 weeks. Production in 6. I set the deadline and I keep it
- You talk directly to the engineer building the system
- Projects start from AED 15,000 — no six-figure minimums
Production AI, not demos
I've seen what breaks a pilot when it hits real data.
- 18+ years shipping ML systems at scale — I know where production AI fails
- I build the system, deploy it on your hardware, and stay until it's stable
- I work with 3–5 clients at a time. I answer my own messages
Case Studies
Anonymized enterprise projects with measurable results.
Private Security AI Advisory
UAE Government Entity
Security operators needed instant guidance on procedures without exposing sensitive operational data to external AI services.
- RAG-based assistant with classified document access
- Air-gapped deployment with zero external connectivity
- Natural language query interface for non-technical operators
- Role-based access controls and full audit logging
Enterprise Voice AI Platform
Regional Financial Services Provider
High call volumes required accurate speech recognition that generic APIs couldn't deliver for financial terminology and regional accents.
- Custom ASR engine trained on domain vocabulary
- Real-time transcription with speaker diarization
- C++ inference pipeline for sub-100ms latency
- Integration with existing call center infrastructure
Intelligent Document Routing
Enterprise Legal Team
Manual document sorting created bottlenecks in case resolution, with junior staff spending hours on classification tasks.
- BERT-based intent classification system
- Automated routing to appropriate case handlers
- Confidence scoring with human review escalation
- Integration with existing document management system
AI-Powered Identity Verification
Global Financial Services Provider
Identity fraud was causing significant losses and manual verification couldn't scale to handle growing user base.
- Facial recognition system with liveness detection
- Automated document verification pipeline
- Real-time fraud scoring engine
- Regulatory compliance reporting
High-Performance Data Pipeline
YC-backed Data Reliability Startup
Data processing pipeline couldn't keep up with 10-100x dataset growth, causing delays and reliability issues.
- Neo4j to ClickHouse database migration
- Custom Rust components for CPU-intensive operations
- High-performance SQL parser for Snowflake
- Optimized graph operations replacing Neo4j
Clinic No-Show Reduction Pilot
Dubai-based multi-branch clinic, ~15 practitioners
High no-show rates were costing the clinic significant revenue. Manual reminder calls couldn't keep pace with a growing patient list across multiple branches.
- AI-driven risk scoring to flag likely no-shows 48 hours ahead
- Automated WhatsApp reminder flow with rebooking links
- Integration with existing clinic management system
- Dashboard for front-desk staff showing daily risk heatmap
Real Estate Listing Automation
JLT-based real estate brokerage, 22 agents
Agents were manually copying listings across Bayut, Property Finder, and Dubizzle, spending hours each day on data entry and photo formatting instead of closing deals.
- Webhook intake from Bayut and Property Finder APIs
- AI-powered listing description generator from agent notes
- Automated photo cropping, watermarking, and compliance check
- Cross-platform publishing with sub-5-minute QC turnaround
Law Firm Document Q&A
DIFC-based boutique law firm, 6 partners
Partners and associates were spending billable hours searching through years of case files, contracts, and precedents stored across shared drives and legacy DMS.
- On-premise RAG system indexing 80K+ documents
- Natural language Q&A with paragraph-level source citations
- Role-based access mirroring existing DMS permissions
- Air-gapped deployment — zero data leaves the firm's network
Accounting Firm E-Invoicing Readiness
Mid-sized UAE audit practice
With the UAE's PINT-AE e-invoicing mandate approaching (July 2027 for SMEs), the firm needed to assess client readiness and automate the transition for its own invoicing workflows.
- AI assistant trained on PINT-AE specification and FTA guidance
- Client readiness scoring tool for the firm's portfolio
- Automated invoice format conversion (PDF → PINT-AE XML)
- Staff training module with Q&A over regulation documents
How I price
I publish my ranges because I respect your time. If the numbers don't work for your budget, you shouldn't have to sit through a discovery call to find out.
Scoped, fixed-price, delivered in 10 working days.
- Working prototype on your data
- Deployment plan
- Go/no-go recommendation
On-premise LLM + integration + handover + 30 days post-launch support.
- On-premise LLM installation and tuning
- System integration with your existing tools
- Full handover documentation
- 30 days of post-launch support
For clients who want me on-call after the handover.
- 1–2 days a week of availability
- System monitoring and tuning
- New feature development
A good fit when:
- You already have a concrete problem — fewer no-shows, faster pre-auth, on-prem RAG over your documents
- You control (or can commission) the hardware the model runs on
- You want one senior engineer end-to-end, not a slide deck and a handoff
Probably not a fit when:
- You need a 12-month roadmap before signing anything — I work in 2-to-6-week cycles
- The budget is below AED 15,000 — start with a scoped consulting hour instead
- You need a 24/7 SLA today — retainer covers working-hours response, not pager duty
What I don't do:
- Hourly billing — it punishes fast work
- Discovery phases longer than 2 weeks
- Engagements over AED 200,000 — I'm one person
If I get hit by a bus (continuity plan)
Every deployment ships with code escrow (held by a neutral third party), a written runbook for redeployment, and a named standby collaborator who has read-only access to the code and can step in if I'm incapacitated. Models, weights, and configs live on your infrastructure from day one — nothing is gated on my availability. The contract specifies the escrow release triggers so you are not negotiating with anyone during an incident.
AI engineer. 18+ years in production ML.
I've spent 18+ years building ML systems that had to work in production — not in notebooks, not in demos. Across chipmakers, a YC-backed data startup, trading platforms, voice AI, and UAE cybersecurity, one pattern held: the demo layer is easy, production is where everything breaks. I moved to Dubai because the UAE's PDPL privacy requirements create exactly the market where on-premise AI expertise matters most.
- 18+ years in AI/ML — chipmakers, YC-backed data startup, trading platforms, voice AI, UAE cybersecurity
- Master's in Mathematics & Computer Science, MIEM
- On-premise LLM, RAG, and voice AI deployed in production
- GitHub: DoctorMozg | LinkedIn: /in/gonorovsky
Send a message or book 20 minutes. I answer my own messages.
No sales team, no gatekeepers. You reach the engineer who will build and deploy your system.
Inquiries handled under UAE PDPL (Federal Decree-Law 45/2021). See my Privacy Notice.