Build AI Products That Scale
Transform your vision into production-ready AI products. From ideation to deployment, we build intelligent solutions that solve real business problems and deliver measurable value.
AI Product Solutions We Build
From MVP to enterprise scale, we build AI products that solve real problems and deliver measurable results.
AI-Powered SaaS Platforms
Build intelligent SaaS products with embedded AI capabilities for automation, insights, and enhanced user experiences.
- Multi-tenant architecture
- API-first design
- Usage-based billing
Intelligent Automation Tools
Automate complex workflows with AI agents that learn, adapt, and improve over time.
- Process automation
- Smart decision engines
- Self-improving systems
AI-Enhanced Mobile Apps
Mobile applications with on-device AI for personalization, recommendations, and smart features.
- On-device ML
- Real-time predictions
- Offline AI capabilities
Custom AI APIs
Scalable AI microservices and APIs that integrate seamlessly into your existing products.
- RESTful & GraphQL APIs
- Auto-scaling infrastructure
- Comprehensive documentation
AI Data Platforms
End-to-end data platforms that collect, process, and serve predictions at scale.
- Real-time data pipelines
- Feature engineering
- Model serving infrastructure
Conversational AI Products
Chatbots, virtual assistants, and conversational interfaces powered by advanced NLP.
- Multi-language support
- Context awareness
- Integration with CRM/ERP
Why Traditional Development Falls Short
in the Age of AI
Traditional software development can't keep pace with AI's rapid evolution—leading to outdated products, slow iteration cycles, and missed market opportunities.
Traditional development struggles with:
Average time to market
Projects fail to reach production
Higher maintenance costs
How We Build AI Products
We combine agile development with MLOps best practices to deliver AI products that are production-ready, scalable, and continuously improving.
Discovery & Strategy
Define product vision, identify AI opportunities, and create a technical roadmap.
MVP Development
Build and validate core AI features with real users in weeks, not months.
Model Training & Fine-tuning
Train custom models on your data and optimize for accuracy and performance.
Production Deployment
Deploy with monitoring, auto-scaling, and continuous model improvement.
Technologies We Use
We build with modern AI frameworks and cloud platforms optimized for scale and performance.
Technical content available in English
AI/ML
Cloud
Development
TensorFlow
Google's open-source machine learning framework for building and deploying ML models at scale. Supports both research and production environments with extensive ecosystem.
Why We Use This
- Production-ready deployment capabilities across multiple platforms
- Comprehensive tools for model optimization and serving
- Strong community support and extensive documentation
- Seamless integration with Google Cloud infrastructure
Use Cases
- Neural network development and training
- Computer vision applications
- Natural language processing models
- Time-series forecasting systems
Why Choose Mirchandani Technologies
End-to-End Expertise
From data strategy to deployment, we handle the entire AI product lifecycle.
Production-Grade Quality
Built for scale with rigorous testing, optimization, and security hardening.
Domain Knowledge
19 years across 9 industries—we understand your business challenges.
Rapid Time-to-Market
Proven framework cuts AI project timelines by 40%.
Transparent Communication
Weekly demos, real-time tracking, direct team access.
Post-Launch Support
Ongoing model monitoring, retraining, and feature enhancements.
Industries We Serve
Healthcare
Diagnostic AI, patient monitoring, clinical documentation automation
Finance
Fraud detection, algorithmic trading, risk assessment platforms
Retail
Recommendation engines, demand forecasting, inventory optimization
Manufacturing
Predictive maintenance, quality control, supply chain automation
Logistics
Route optimization, warehouse automation, delivery prediction
Real Estate
Property valuation, market analysis, investment platforms
Education
Personalized learning, automated grading, student analytics
Energy
Smart grid optimization, demand prediction, renewable forecasting
Your Questions Answered
Everything you need to know about our services in Dubai and UAE
What's included in end-to-end AI product development in Dubai?
End-to-end AI product development includes AI strategy consultation, custom ML model design, data pipeline engineering, model training and validation, deployment to production, and ongoing maintenance. Dubai enterprises receive complete solutions from concept to deployment, typically delivered in 12-16 weeks with dedicated teams handling all technical aspects.
How long does it take to build a custom AI solution for UAE businesses?
Custom AI solutions for UAE businesses typically take 10-16 weeks from initial consultation to production deployment. Timeline depends on complexity, data availability, and integration requirements. Proof-of-concept demonstrations are usually ready in 3-4 weeks, allowing Dubai companies to validate AI capabilities before full development.
What is the cost of developing custom AI models in Dubai?
Custom AI development costs range from AED 250,000 to AED 1.5 million depending on complexity, data requirements, and integration scope. Most Dubai enterprises invest AED 500,000-800,000 for production-ready solutions. ROI typically achieved within 12-18 months through operational efficiency gains, cost reduction, and revenue optimization.
Which AI frameworks and technologies do you use?
We use industry-leading frameworks including TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and LangChain for LLM applications. Infrastructure includes AWS, Azure, and Google Cloud with GPU/TPU acceleration. All solutions are built with scalable architecture, production-grade code, and comprehensive documentation for UAE enterprise standards.
Can you integrate AI with our existing Dubai business systems?
Yes, we specialize in integrating AI with existing enterprise systems including ERP (SAP, Oracle), CRM (Salesforce, Microsoft Dynamics), databases, and legacy applications. Our solutions use REST APIs, message queues, and data pipelines to ensure seamless integration with minimal disruption to Dubai business operations.
Do you provide AI model training and fine-tuning services?
Yes, we provide complete AI model training, fine-tuning, and optimization services. This includes data preprocessing, feature engineering, hyperparameter tuning, and continuous model improvement. Dubai companies receive models fine-tuned on their specific data, achieving 30-40% better performance than generic pre-trained models.
What ongoing support do you provide after AI deployment?
Post-deployment support includes 24/7 monitoring, performance optimization, model retraining, bug fixes, and feature enhancements. Dubai clients receive monthly performance reports, quarterly model updates, and immediate response to critical issues. SLAs guarantee 99.9% uptime with dedicated UAE-based technical support team.
How do you ensure AI solutions comply with UAE regulations?
All AI solutions are built following UAE data protection laws, industry-specific regulations (DHA, DFSA, RERA), and international standards. We implement data privacy controls, explainable AI for regulatory reporting, audit trails, and compliance documentation. Solutions undergo security audits and maintain complete regulatory compliance for Dubai operations.
What's included in end-to-end AI product development in Dubai?
End-to-end AI product development includes AI strategy consultation, custom ML model design, data pipeline engineering, model training and validation, deployment to production, and ongoing maintenance. Dubai enterprises receive complete solutions from concept to deployment, typically delivered in 12-16 weeks with dedicated teams handling all technical aspects.
How long does it take to build a custom AI solution for UAE businesses?
Custom AI solutions for UAE businesses typically take 10-16 weeks from initial consultation to production deployment. Timeline depends on complexity, data availability, and integration requirements. Proof-of-concept demonstrations are usually ready in 3-4 weeks, allowing Dubai companies to validate AI capabilities before full development.
What is the cost of developing custom AI models in Dubai?
Custom AI development costs range from AED 250,000 to AED 1.5 million depending on complexity, data requirements, and integration scope. Most Dubai enterprises invest AED 500,000-800,000 for production-ready solutions. ROI typically achieved within 12-18 months through operational efficiency gains, cost reduction, and revenue optimization.
Which AI frameworks and technologies do you use?
We use industry-leading frameworks including TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and LangChain for LLM applications. Infrastructure includes AWS, Azure, and Google Cloud with GPU/TPU acceleration. All solutions are built with scalable architecture, production-grade code, and comprehensive documentation for UAE enterprise standards.
Can you integrate AI with our existing Dubai business systems?
Yes, we specialize in integrating AI with existing enterprise systems including ERP (SAP, Oracle), CRM (Salesforce, Microsoft Dynamics), databases, and legacy applications. Our solutions use REST APIs, message queues, and data pipelines to ensure seamless integration with minimal disruption to Dubai business operations.
Do you provide AI model training and fine-tuning services?
Yes, we provide complete AI model training, fine-tuning, and optimization services. This includes data preprocessing, feature engineering, hyperparameter tuning, and continuous model improvement. Dubai companies receive models fine-tuned on their specific data, achieving 30-40% better performance than generic pre-trained models.
What ongoing support do you provide after AI deployment?
Post-deployment support includes 24/7 monitoring, performance optimization, model retraining, bug fixes, and feature enhancements. Dubai clients receive monthly performance reports, quarterly model updates, and immediate response to critical issues. SLAs guarantee 99.9% uptime with dedicated UAE-based technical support team.
How do you ensure AI solutions comply with UAE regulations?
All AI solutions are built following UAE data protection laws, industry-specific regulations (DHA, DFSA, RERA), and international standards. We implement data privacy controls, explainable AI for regulatory reporting, audit trails, and compliance documentation. Solutions undergo security audits and maintain complete regulatory compliance for Dubai operations.
Ready to Build an AI Product?
Let's discuss your product vision and build a production-ready solution.