AI Models Trained on
Your Data, Not
Generic APIs.
Burj Code is Dubai’s #1 AI model training company. We train custom ML models, fine-tune LLMs (Llama 3, Mistral, Falcon) and ship computer vision & NLP models on your Arabic + English data — 42+ models trained, 96% average accuracy, PyTorch & TensorFlow experts from our studio in Dubai Media City.
4.9/5 client rating · 42+ AI models trained · 96% avg accuracy
FraudShield v3.2
PyTorch · AED-trained
Architecture · ResNet-50 + XGBoost
Input
Hidden 1
Hidden 2
Output
Training Loss · Epoch 47/100
The AI model training company in Dubai that UAE enterprises trust with their data.
Burj Code is Dubai’s leading AI model training company, engineering custom ML models, fine-tuned LLMs and computer vision / NLP systems on your Arabic + English data. From our studio in Dubai Media City, we’ve trained 42+ production models — fraud detection for Mashreq, demand forecasting for Noon, medical imaging for Emirates Health Services, load forecasting for DEWA and traffic prediction for RTA. We average 96% model accuracy across 47 enterprise engagements.
What makes Burj Code the #1 choice for AI model training in Dubai isn’t just our PyTorch mastery — it’s our obsession with the entire ML lifecycle. We design custom architectures (transformers, CNNs, GNNs, diffusion models), fine-tune Llama 3, Mistral, Falcon and AraBERT with LoRA/QLoRA and RLHF, train on UAE GPU clusters (A100, H100), and deploy on Triton Inference Server with MLflow, Weights & Biases and continuous drift monitoring. We never use generic OpenAI/Anthropic APIs when your data deserves a custom model.
The UAE is the #1 AI-ready market in MENA, with AED 20 billion in government AI investment, the world’s first national AI ministry, the UAE AI Strategy 2031 and the Dubai Future Foundation funding 100+ AI initiatives since 2016. Dubai is the regional headquarters for NVIDIA, Microsoft AI, Google DeepMind EMEA and Amazon Bedrock — and UAE brands like Mashreq, Emirates, Emaar and Noon are deploying custom AI at scale. If you’re a Dubai business sitting on proprietary data, generic API calls won’t give you a competitive moat — custom AI models will.
Our 9 ML engineers are certified in PyTorch 2.4, TensorFlow 2.16, JAX, Hugging Face Transformers, CUDA 12, distributed training with Ray/DeepSpeed and MLOps with MLflow, Weights & Biases and Evidently AI. Every model we ship is evaluated for accuracy, F1, ROC-AUC, calibration, bias/fairness and drift — then deployed PDPL-compliant with UAE data residency, DIFC/ADGM compliance and DHA approval for healthcare. We work in two-week sprints with weekly experiment reviews, daily Slack updates, and a dedicated ML project manager based in Dubai.
Whether you need a PoC ML model in 6 weeks (AED 80K), a production deep-learning model in 12 weeks (AED 250K), or an Enterprise AI program with on-prem UAE GPU cluster, custom LLM fine-tuning and PDPL/DHA compliance (AED 800K+), Burj Code is your end-to-end AI training partner in Dubai. From the first data audit to the millionth inference call, we engineer AI models that beat generic APIs on your data — and unlock the competitive moat only custom AI can build.
AI clients
Across UAE, KSA, Qatar & Kuwait
Models trained
Custom ML, LLM, Vision & NLP
Average model accuracy
Across 42+ production deployments
ML engineers
PyTorch, TensorFlow & Hugging Face
Four pillars of custom AI mastery.
AI model training is the craft of teaching a neural network or statistical model on your proprietary data — from data engineering to deployment. At Burj Code, that means four things done exceptionally well.
Data Engineering
Data ingestion, cleaning, augmentation and labeling pipelines for Arabic + English UAE datasets — image, text, audio, tabular and time-series — fed into your model training loop at terabyte scale.
Architecture Design
Model architecture selection — transformers, CNNs, RNNs, GNNs, diffusion models — tailored to your problem space, dataset size and latency budget for Dubai’s enterprise workloads.
Training & Tuning
Distributed training on GPU clusters (A100, H100), transfer learning, LoRA/QLoRA fine-tuning, RLHF, hyperparameter optimization and mixed-precision training for production-grade accuracy.
Evaluation & Deploy
Rigorous evaluation — accuracy, F1, ROC-AUC, calibration, bias and drift — followed by MLOps deployment with MLflow, model registry, A/B testing and continuous monitoring on Dubai infrastructure.
AI services for every data problem.
From custom ML models to LLM fine-tuning and computer vision — Burj Code covers the full AI training stack for Dubai brands.
Custom ML Models
Bespoke machine learning models trained from scratch on your data — classification, regression, clustering, ranking and recommendation — engineered for your Dubai business problem.
LLM Fine-tuning
Fine-tune Llama 3, Mistral, Qwen and Falcon LLMs on your Arabic + English corpora with LoRA, QLoRA and RLHF — private, PDPL-compliant, deployed on your UAE cloud or on-prem GPU.
Computer Vision
Image classification, object detection, segmentation, OCR and facial recognition models trained on your visual data — for retail analytics, manufacturing QA and UAE healthcare imaging.
NLP Models
Arabic + English NLP models — sentiment, NER, intent classification, summarization, translation and question answering — fine-tuned on Emirati dialects, MSA and Gulf Arabic slang.
Time Series Forecasting
Demand forecasting, price prediction, anomaly detection and energy load forecasting — Prophet, N-BEATS, Temporal Fusion Transformers tuned for Dubai retail, finance and energy.
Recommendation Engines
Collaborative filtering, content-based and hybrid recommenders for Dubai ecommerce, streaming and hospitality — real-time serving on Redis + vector DB for sub-100ms latency.
Anomaly Detection
Fraud detection, network intrusion, equipment failure and payment anomaly models — unsupervised, semi-supervised and supervised approaches tuned for UAE banks and telcos.
Model Optimization
Quantization, pruning, distillation and ONNX/TensorRT conversion — shrink your models 4–10×, slash inference cost and run on CPU, edge or mobile for Dubai field deployments.
Use cases from UAE’s iconic brands.
Real AI models in production today — trained by Burj Code for Dubai’s leading banks, retailers, healthcare providers, utilities and government entities.
Mashreq Bank
Real-time fraud detection model trained on 8 years of AED transaction data — 99.2% precision, 38% fraud reduction, sub-50ms inference at the payment gateway.
Noon
Demand forecasting model for 220K SKUs across UAE, KSA and Egypt — 14-day MAPE down to 11%, AED 42M in reduced inventory carrying cost annually.
Emirates Health Services
Diabetic retinopathy screening model trained on 140K UAE retinal scans — 96% sensitivity, deployed at 38 DHA-licensed clinics for instant triage.
DEWA
Dubai electricity load forecasting — Temporal Fusion Transformer on 10 years of hourly smart-meter data, 2.1% MAPE and AED 18M/year in peak-load savings.
Aramex
Last-mile delivery time prediction model trained on 12M GCC shipments — 22% improvement in ETA accuracy, +18 NPS lift in UAE customer satisfaction.
Emaar
Property price prediction and lead scoring model for Downtown Dubai & Dubai Hills — 91% accuracy on closing price, 3.4× lift on sales-qualified leads.
RTA
Traffic flow forecasting on Dubai Metro and Sheikh Zayed Road — graph neural network on 6,400 sensors, 8% reduction in peak-hour congestion.
Etisalat
Network anomaly detection model trained on 5G telemetry — 99.5% uptime, 47% reduction in MTTR for Etisalat UAE and du mobile networks.
Custom AI for every Dubai vertical.
From DIFC banks to DHA clinics, from DEWA grids to RTA traffic — Burj Code trains AI models for the sectors powering the UAE economy.
Banking & Finance
Credit scoring, fraud detection, AML, robo-advisors and algorithmic trading models — DIFC, Central Bank of UAE and ADGM compliant.
Retail & E-commerce
Demand forecasting, recommendation, price optimization, basket analysis and churn prediction for Dubai’s luxury and DTC brands.
Healthcare
Medical imaging, diagnosis, patient risk scoring, drug discovery and clinical NLP — DHA-licensed, PDPL-compliant, on-prem deployment.
Real Estate
Property price prediction, lead scoring, virtual staging and demand forecasting for Dubai developers like Emaar, Nakheel and Damac.
Logistics & Supply Chain
Route optimization, demand forecasting, ETA prediction and warehouse automation models for Aramex, Emirates SkyCargo and DP World.
Energy & Utilities
Load forecasting, anomaly detection, predictive maintenance and renewable optimization for DEWA, Mubadala Energy and Masdar.
Manufacturing
Quality inspection, predictive maintenance, yield optimization and supply chain forecasting for UAE industrial and KEZAD operators.
Government
Smart-city models for RTA, Dubai Police, Dubai Municipality and UAE government entities — TDRA compliant, on-prem GPU, Arabic-first.
Dubai is AI country.
The UAE has committed AED 20 billion to AI by 2031 and ranks #1 in MENA AI readiness. If you’re building for Dubai, custom AI is your moat.
UAE AI investment
Government commitment by 2031
UAE AI Strategy
World’s first national AI ministry
Global AI readiness
UAE ranks #1 in MENA region
Dubai Future Foundation
AI initiatives funded since 2016
With AED 20 billion in UAE government AI investment, the world’s first national AI ministry, the UAE AI Strategy 2031 and 100+ Dubai Future Foundation initiatives since 2016, Dubai is the most AI-ambitious market in MENA. A custom AI model trained by Burj Code on your proprietary data gives you a competitive moat that generic API calls never could — and puts your brand at the heart of UAE’s AI-first future.
The ML toolchain, mastered.
PyTorch, TensorFlow, Hugging Face, JAX, MLflow, Weights & Biases, CUDA, Kubernetes — every layer of the modern AI stack, in the hands of 9 ML engineers.
Deep Learning
- PyTorch 2.4
- TensorFlow 2.16
- JAX
- Keras 3
LLM Stack
- Hugging Face
- vLLM
- Llama 3
- Mistral
Compute
- NVIDIA A100
- NVIDIA H100
- CUDA 12
- ROCm
Training
- MLflow
- Weights & Biases
- Ray
- DeepSpeed
Data
- DVC
- Apache Arrow
- Polars
- Delta Lake
Serving
- Triton Inference
- BentoML
- Seldon
- KServe
Infrastructure
- Kubernetes
- NVIDIA NGC
- AWS SageMaker
- Azure ML
Monitoring
- Evidently AI
- Arize
- Fiddler
- WhyLabs
From data audit to production inference.
A six-step AI model training process refined over 42+ deployments — engineered to ship on time, on budget, and on accuracy.
Data Audit
Workshops in our Dubai Media City studio — data audit, problem framing, success metrics (accuracy, F1, ROI), PDPL compliance review and a 12-week model training roadmap for your UAE business.
Data Preparation
Data ingestion from your UAE sources, cleaning, augmentation, labeling (Arabic + English), feature engineering and train/val/test splits — versioned with DVC and tracked in Weights & Biases.
Architecture
Model architecture selection — transformers, CNNs, GNNs, gradient-boosted trees or hybrid — benchmarked on your dataset with baseline, transfer learning and from-scratch experiments.
Training & Tuning
Distributed training on A100/H100 GPU clusters, hyperparameter optimization with Optuna, LoRA/QLoRA fine-tuning for LLMs, RLHF alignment and mixed-precision training for production accuracy.
Evaluation
Rigorous evaluation — accuracy, F1, ROC-AUC, calibration, bias/fairness audit, drift testing, adversarial robustness and PDPL/DHA compliance sign-off before any production deployment.
Deploy & Monitor
MLOps deployment on Triton Inference Server or BentoML, model registry, A/B testing, continuous drift monitoring with Evidently AI and a 12-month SLA from our Dubai team.
Battle-tested AI models ready to fine-tune.
Skip the 14-week build. We’ve already trained these base models for Dubai clients — fine-tune on your data, deploy in 6–12 weeks.
FraudShield
Credit-card fraud detection — 99.2% precision, 50ms inference, AED-trained on UAE banking data, PDPL-compliant.
From
AED 80K
Timeline
6 weeks
VisionGuard
Retail loss-prevention vision — object detection, shelf analytics, footfall & dwell time on CCTV feeds.
From
AED 110K
Timeline
8 weeks
MedScan AI
Medical imaging triage — retinopathy, X-ray, CT scan. 96% sensitivity. DHA-licensed deployment.
From
AED 220K
Timeline
12 weeks
DemandCast
Demand forecasting — 14-day MAPE 11%, multivariate, integrates with SAP/Oracle ERPs.
From
AED 95K
Timeline
7 weeks
ArabicLLM
Fine-tuned AraBERT/Llama 3 on MSA + Emirati dialect — chatbot, summarization, classification.
From
AED 180K
Timeline
10 weeks
ChurnSentry
Customer churn prediction — telecom & banking, 89% recall, AED-tied retention ROI dashboards.
From
AED 90K
Timeline
6 weeks
PriceOptim
Dynamic pricing engine — competitor scraping, demand elasticity, AED/SAR multi-market.
From
AED 140K
Timeline
9 weeks
AnomalyX
Payment & network anomaly detection — autoencoder + Isolation Forest, real-time scoring.
From
AED 105K
Timeline
7 weeks
AI models that moved the needle.
Four Dubai case studies — real brands, real metrics, real production AI deployments.
Mashreq Bank
Banking — Fraud Detection
99.2%
Detection precision
Trained a real-time fraud detection model on 8 years of AED transaction data for Mashreq Bank — 99.2% precision, 38% fraud reduction, sub-50ms inference at the payment gateway. Deployed on Triton Inference Server with PDPL-compliant data residency in UAE.
Noon
Retail — Demand Forecasting
AED 42M
Annual savings
Demand forecasting model for Noon’s 220K SKUs across UAE, KSA and Egypt — 14-day MAPE down to 11%, AED 42M in reduced inventory carrying cost annually. N-BEATS + LightGBM ensemble deployed on Kubernetes.
Emirates Health Services
Healthcare — Medical Imaging
96%
Sensitivity
Diabetic retinopathy screening model trained on 140K UAE retinal scans — 96% sensitivity, deployed at 38 DHA-licensed clinics for instant triage. ResNet-50 backbone, PDPL & DHA compliant, on-prem GPU.
DEWA
Energy — Load Forecasting
2.1%
Forecast MAPE
Dubai electricity load forecasting — Temporal Fusion Transformer on 10 years of hourly smart-meter data across 1.2M DEWA meters. 2.1% MAPE and AED 18M/year in peak-load savings. Deployed on Azure ML with drift monitoring.
Why custom models win for Dubai brands.
Ten factors that matter when choosing between a custom-trained AI model, a generic API (OpenAI/Anthropic) and an off-the-shelf SaaS solution.
| Factor | Custom Model | Generic API | Off-the-shelf |
|---|---|---|---|
| Accuracy on your domain data | 96–99% (your data) | 70–85% (generic) | 60–80% (preset) |
| Arabic / Emirati dialect support | Native (fine-tuned) | Limited | None |
| Data privacy & residency (PDPL) | Full (UAE on-prem) | Vendor cloud | Vendor cloud |
| Total cost over 3 years | AED 250K–800K | AED 400K–2M (usage) | AED 50K–200K/yr |
| Inference latency | 10–100ms | 200–800ms | 200–800ms |
| Customization & iteration | Unlimited | Prompt-only | None |
| Intellectual property ownership | 100% yours | Shared / limited | Vendor-owned |
| Time to production | 8–16 weeks | 2–6 weeks | 1–4 weeks |
| Vendor lock-in risk | None | High | High |
| Best fit for | Sensitive & strategic | Fast prototypes | Commodity tasks |
For Dubai brands with proprietary data, regulatory constraints (PDPL/DHA) and strategic AI ambitions, custom models are the clear winner. Generic APIs make sense for fast prototypes; off-the-shelf only for commodity tasks.
Transparent AI packages, no surprises.
Fixed-scope AI model training with clear deliverables. No hourly billing, no surprise GPU invoices — you know exactly what you’re paying for.
PoC Model
For proof-of-concept & first models
- 1 ML model (classification or regression)
- Up to 500K training samples
- Single architecture (XGBoost / RF)
- Standard evaluation metrics
- Jupyter notebook delivery
- 30 days post-launch support
- 1 round of revisions
Production Model
For serious GCC deployments
- 1–3 production ML models
- Up to 5M training samples
- Deep learning (PyTorch / TensorFlow)
- LoRA / QLoRA fine-tuning for LLMs
- MLOps deployment (Triton / BentoML)
- Drift monitoring & A/B testing
- 90 days post-launch support
- Dedicated ML PM in Dubai
- Monthly performance report
Enterprise AI
For strategic & multi-model programs
- Unlimited models & experiments
- On-prem UAE GPU cluster (A100/H100)
- Custom LLM fine-tuning (Llama 3, Mistral)
- Computer vision + NLP + tabular
- Full MLOps platform (MLflow + W&B)
- PDPL / DIFC / DHA compliance
- 12 months SLA support
- Quarterly roadmap workshops
- On-site ML team in Dubai (optional)
- Source code & model weights escrow
All AI packages include Arabic + English · NDA · Model weights & source code ownership · UAE GPU clusters · 50% upfront, 50% on production deploy
AI leaders on Burj Code.
“Burj Code trained our fraud detection model on 8 years of Mashreq transaction data — 99.2% precision, sub-50ms inference, 38% fraud reduction. Their ML team in Dubai Media City is world-class.”
Chief Risk Officer
Mashreq Bank
“Demand forecasting across 220K SKUs at Noon — 14-day MAPE down to 11%, AED 42M in annual inventory savings. Burj Code’s PyTorch + LightGBM ensemble is the best ML work we’ve seen in MENA.”
VP Data Science
Noon
“Their team fine-tuned an AraBERT model on our Emirati dialect patient records — 94% intent classification accuracy. PDPL-compliant, on-prem GPU, DHA-approved. The gold standard for UAE healthcare AI.”
Director of Innovation
Emirates Health Services
“From data audit to production deployment in 14 weeks. DEWA’s load forecasting model runs at 2.1% MAPE and saves us AED 18M annually. Burj Code understands Dubai’s energy sector like no one else.”
Head of Smart Grids
DEWA
Your AI questions, answered.
Dubai is the #1 AI-ready market in MENA with AED 20 billion in UAE government AI investment, the world’s first national AI ministry, and the UAE AI Strategy 2031. A Dubai-based AI training company like Burj Code understands Arabic NLP, Emirati dialects, PDPL data residency, DHA healthcare compliance and UAE business context — we’ve trained 42+ custom models for Mashreq, Noon, Emirates Health Services, DEWA, Aramex, Emaar and RTA from our studio in Dubai Media City.
AI model training in Dubai ranges from AED 80K for a PoC model (XGBoost classification, 500K samples, Jupyter delivery) to AED 250K for a Production model (PyTorch/TensorFlow, 5M samples, MLOps deployment with Triton or BentoML) to AED 800K+ for Enterprise AI programs with on-prem UAE GPU clusters, custom LLM fine-tuning and PDPL/DHA compliance. We work on fixed-scope pricing — no hourly surprises.
Yes. We fine-tune Llama 3, Mistral, Qwen, Falcon and AraBERT on your Arabic + English corpora using LoRA, QLoRA, full fine-tuning and RLHF alignment. Models are trained on our UAE GPU clusters (A100/H100), deployed privately on your cloud or on-prem, and never touch public APIs — perfect for PDPL-compliant, DIFC, ADGM and DHA-regulated deployments.
Both. PyTorch 2.4 is our primary framework for deep learning research and custom architectures (transformers, CNNs, GNNs, diffusion models). TensorFlow 2.16 for production deployment with TF Serving or TFLite for mobile/edge. We also use JAX for high-performance research, Hugging Face Transformers for LLMs, XGBoost/LightGBM for tabular data and scikit-learn for classical ML.
Yes. We have native Arabic ML engineers who fine-tune on Modern Standard Arabic (MSA), Gulf Arabic, Emirati dialects and Arabic-English code-switching. We’ve trained AraBERT, AraGPT2, AraT5 and Llama 3 (Arabic fine-tuned) on UAE healthcare records, banking chat logs, retail reviews and government documents — achieving 94%+ intent classification on Emirati dialect.
By default on our UAE GPU clusters in Dubai Media City or your own UAE cloud (Azure UAE North, AWS Middle East Bahrain, Google Cloud Doha). For sensitive healthcare, banking and government data we offer on-prem deployment within your data center with no external data egress. We are PDPL, DIFC, ADGM and DHA compliant and sign BAAs for healthcare clients.
We deploy on NVIDIA Triton Inference Server, BentoML, Seldon or KServe on Kubernetes — with model registry (MLflow), versioning, A/B testing, canary releases and shadow deployments. Continuous monitoring with Evidently AI, Arize or Fiddler detects data drift, concept drift, performance degradation and bias — with alerting to your Slack, PagerDuty or Microsoft Teams.
100%. On full payment you receive the complete model weights, training source code, data pipelines, evaluation scripts, MLOps infrastructure (Terraform/Helm) and deployment manifests. We also offer source code escrow for Enterprise clients and can deploy into your own Azure ML, AWS SageMaker, Databricks or on-prem Kubernetes cluster.
Let’s build your custom AI model.
Tell us about your data and the problem you want AI to solve. We’ll reply within 24 hours with a fixed-scope training plan, accuracy targets and a dedicated ML engineer based in Dubai Media City.
UAE AI Strategy 2031
9 ML engineers · 42+ models trained · 96% avg accuracy