Skip to main content

AI Development Company Building Production-Ready ML Solutions

Custom ML pipelines, computer vision, LLM integrations & generative AI built by the Gulf's most trusted AI engineers.

50+
AI Models Deployed
8+
Years in AI/ML
200+
Happy Clients
Take off digitally with GreatWorks.

Run smarter, grow faster, and lead the future with advanced technology

6Len39wqAAAAAPY5MGv4Bf65DQQa9eHiiS2CKG0u

By sending this form I confirm that I have read and accept the Terms & Conditions.

Artificial Intelligence Companies

Artificial intelligence companies engineering production-grade ML pipelines, computer vision, predictive analytics and LLM integrations that move real business KPIs.

What We Offer

Our artificial intelligence companies services cover full-cycle development — from strategy and UI/UX design to development, testing, and deployment — tailored to your industry and business needs.

Dedicated Expert Team

Work with skilled professionals specializing in artificial intelligence companies. We align our processes for seamless, real-time collaboration with your team.

Proven Delivery

End-to-end artificial intelligence companies with on-time delivery, transparent processes, and ongoing post-launch support for your business.

Why Choose GreatWorks for Artificial Intelligence Companies?

GreatWorks brings global expertise, delivering custom artificial intelligence companies solutions that are scalable, secure, and built for performance. We work with startups and enterprises alike to turn ideas into high-quality digital products.

Agile Development Process
100% Transparent Communication
Dedicated Project Manager
Post-Launch Support & Maintenance

What We Build

Machine Learning

Custom ML models for prediction, classification, and recommendation.

Computer Vision

Image recognition, OCR, video analysis, and object detection.

Generative AI & LLMs

Custom GPT integrations, LangChain apps, and fine-tuning.

Predictive Analytics

Forecasting, anomaly detection, and business intelligence.

NLP & Chatbots

Conversational AI, sentiment analysis, and semantic search.

MLOps & AI Infrastructure

Model deployment, monitoring, and scaling on the cloud.

Our Tech Stack

  • TensorFlow
  • PyTorch
  • OpenAI
  • Anthropic
  • Hugging Face
  • LangChain
  • AWS SageMaker
  • Azure ML
  • scikit-learn
  • Pinecone

Case Studies

Real engagements. Real outcomes. Names withheld under NDA on request.

FinTech Series A Startup

Challenge

Needed real-time fraud detection across millions of daily transactions.

Solution

Built an ensemble ML model combining XGBoost + neural network with a feature-engineering pipeline.

TensorFlow Python AWS SageMaker Kafka

Results

  • 96% fraud detection accuracy
  • 40% reduction in fraud losses
  • Sub-100 ms inference time
Healthcare Hospital Network

Challenge

Radiologists overwhelmed by daily scan volume; needed AI-assisted triage.

Solution

Computer-vision model trained on 100K+ X-rays to flag urgent cases first.

PyTorch DICOM FastAPI Azure

Results

  • Triage time reduced 65%
  • Critical case detection up 30%
  • Deployed across 12 hospitals
E-commerce Retail Group

Challenge

Customers struggled to find products in a large catalog efficiently.

Solution

Built an LLM-powered semantic search + product-recommendation engine with vector embeddings.

OpenAI Pinecone LangChain Node.js

Results

  • Conversion rate up 38%
  • Average order value up 22%
  • Search latency under 200 ms

What Clients Say

“GreatWorks delivered our fraud-detection system three weeks ahead of schedule. Their ML team understood our risk requirements deeply and built something we couldn't have done in-house.”

Ahmed K.

“The team's expertise in computer vision saved our radiologists hours daily. ROI was clear within the first quarter.”

Dr. Sarah M.

“From strategy to deployment, they handled everything. Our LLM-powered search is now our biggest conversion driver.”

Khalid R.

Our Process

  1. 1

    Discovery & Strategy

    Understand business goals, audit data, and assess feasibility.

  2. 2

    Data Engineering

    Data collection, cleaning, labeling, and feature engineering.

  3. 3

    Model Development

    Build, train, and validate ML models with rigorous benchmarking.

  4. 4

    Testing & QA

    Performance testing, edge-case validation, and security audits.

  5. 5

    Deployment & MLOps

    Production deployment, monitoring, and ongoing optimization.

Industries We Serve

Sector-specific experience delivering Artificial Intelligence Companies across regulated and high-growth industries.

FinTech Healthcare Retail & E-commerce Logistics Energy Government
How we can support you.

Using effective and powerful sector-specific technology, our experts help you attain your goals.

Why choose greatworks?

Delivering innovation, efficiency, and reliability to drive your success. Trust our expertise to build smarter, future-ready solutions.

Expert development team.

Our team has years of industry experience and expertise to deliver high-quality results every time.

Innovative solutions.

We leverage the latest tools, technology, and creative strategies to provide innovative solutions that drive results.

Efficient and punctual.

The development was completed efficiently, balancing both financial constraints and time management.

Product focused and Quality assurance.

Innovation and customer satisfaction with a strong commitment to excellence throughout the product lifecycle.

Speed and Growth.

Provide scalability, flexibility, and rapid deployment while maintaining quality, ensuring timely and high-standard delivery.

Let’s your idea into reality!

Here to assist, whenever you’re ready.

Wherever your journey takes you, we’re here to assist. Want more insights? Ready to start? We've got your back.

Let’s chat

Frequently Asked Questions

How long does an AI project typically take?

MVPs take 6–10 weeks. Production deployments take 12–20 weeks depending on data readiness and complexity.

Do you work with companies that don't have AI/data teams?

Yes. We handle end-to-end — from data strategy through deployment. Many of our clients have no in-house AI expertise.

What's the typical cost of an AI project?

POCs start at $15K. Full production AI systems range from $50K–$300K depending on scope. Book a free call for a custom quote.

Can you fine-tune LLMs on our proprietary data?

Yes. We fine-tune open-source LLMs (Llama, Mistral) and integrate proprietary data via RAG with vector databases.

WhatsApp Email Chat

We use cookies to enhance site functionality and analytics. Learn more.