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Your data holds answers to business questions you’re asking every day. We build analytics platforms and AI solutions that turn raw data into strategic insights. From engineering firms optimizing design processes to manufacturers predicting equipment failures, we deliver data and AI capabilities built for Middle East and Africa’s unique business landscape.
WHAT WE DELIVER
Data and AI create competitive advantage when implemented right. Organizations across the region struggle with data scattered across systems, insights buried in spreadsheets, decisions made on intuition instead of analysis, and AI investments that don’t deliver measurable results.
Data scattered
across systems
Insights buried
in spreadsheets
Intuitive
decisions
Unproven
investments
- Extracting value from data trapped in silos and legacy systems
- Building analytics that answer actual business questions
- Implementing AI that solves real problems instead of chasing trends
- Managing data quality and governance across growing datasets
- Scaling analytics infrastructure as data volumes increase
- Making insights accessible to decision-makers who aren't data scientists
Our Approach:
Business problems first, technology second. We’ve seen what works and what’s just hype. Our experience of hands-on AI/ML implementation brings practical expertise in machine learning, predictive analytics, and intelligent automation. We build solutions that deliver ROI and not just impressive demos.
SERVICE CAPABILITIES
What You Get:
- Executive dashboards for leadership decision-making
- Operational dashboards for day-to-day management
- Custom analytics for department-specific needs
- Real-time data visualization and reporting
- Mobile access for remote decision-makers
Real-World Example:
AB InBev needed visibility into manufacturing operations across continents. We built data infrastructure feeding executive dashboards that tracked production efficiency, quality metrics, and supply chain performance across multiple regions.
Machine learning finds patterns humans miss. Predictive maintenance for equipment. Demand forecasting for inventory. Risk scoring for financial services. Design optimization for engineering workflows. We build models that actually work in production, not just proof-of-concepts that stay in the lab.
What You Get:
- Predictive maintenance models reducing unplanned downtime
- Demand forecasting improving inventory management
- Risk models for fraud detection and credit assessment
- Optimization algorithms for design and manufacturing processes
- Automated quality control using computer vision
Real-World Example:
Omnilab’s AI-powered environmental monitoring platform processes sensor data to predict air quality issues before they become problems. Machine learning models analyze patterns across thousands of IoT sensors. Local authorities get early warnings. Businesses can plan operations around predicted conditions. The system combines edge AI for real-time processing with cloud analytics for pattern detection.
What You Get:
- Data warehouse architecture and implementation
- ETL pipelines connecting disparate systems
- Data quality rules and validation
- Historical data migration and cleanup
- Scalable infrastructure handling growing data volumes
Real-World Example:
AB InBev needed to consolidate manufacturing data across continents. Their production, quality, and supply chain systems weren’t talking to each other. We built data pipelines that integrated everything into a central warehouse. Analysts could finally see the complete picture. Decision-making improved because leadership had accurate, timely data instead of waiting weeks for manual reports.
AI automates repetitive tasks that drain your team’s time. Document processing. Data entry. Quality inspection. Customer support. Schedule optimization. We identify high-value automation opportunities and implement solutions that actually deliver productivity gains.
What You Get:
- Process automation using AI and machine learning
- Document processing and data extraction
- Intelligent workflow automation
- Computer vision for quality inspection
- Natural language processing for customer interactions
Real-World Example:
The Government of Rajasthan’s EdTech platform uses AI for personalized learning paths. Machine learning analyzes student performance and adapts content difficulty automatically. Teachers get insights into which students need help. The system serves millions of students across diverse geographies with limited connectivity, using offline-first AI that works even without internet access.
HOW WE CREATE VALUE
Think
Data Strategy
We start with business questions, not technology. What decisions need better data? Where are insights missing? What processes could AI improve? Our assessments identify high-value opportunities where analytics and AI deliver measurable results. For organizations in Middle East & Africa, we account for data availability, infrastructure constraints, and the practical reality of implementing AI with limited local talent.
Build
Analytics & AI Implementation
Data pipelines get built. Models get trained. Dashboards get deployed. Our team handles technical implementation, testing, and integration with existing systems. We document everything and train your team. You get working solutions, not research projects.
Scale
Continuous Improvement
AI models need monitoring and retraining. Analytics needs updating as business questions evolve. We provide ongoing optimization, performance monitoring, and model improvement. Your data and AI capabilities get better over time instead of becoming stale.
INDUSTRY APPLICATIONS
Government &
Public Sector
The Government of Rajasthan's EdTech platform uses AI for personalized learning and policy analytics. National identity systems for Papua New Guinea, Fiji, and Vanuatu needed data architecture for citizen records. Our GovTech analytics emphasizes citizen service improvement, policy effectiveness measurement, and resource optimization.
Architecture, Engineering
& Construction
Engineering data lives in CAD files, BIM models, project schedules, and cost tracking systems. We extract insights from design data, optimize workflows, predict project risks, and identify quality issues before they become expensive problems. Our engineering software background means we understand the data structures in technical files.
Manufacturing
& Industrial
AB InBev's data infrastructure enables analytics across manufacturing operations worldwide. Predictive maintenance, quality analytics, supply chain optimization, and production efficiency tracking all depend on good data architecture. We understand factory data, equipment sensors, and operational technology integration.
Financial Services
& Fintech
Instagoal and other fintech platforms need analytics for customer behavior, fraud detection, risk assessment, and regulatory reporting. Our fintech analytics covers transaction patterns, user engagement, portfolio performance, and compliance metrics.
Energy &
Mobility
Omnilab's environmental monitoring uses AI for sensor data analysis and predictive insights. 1337Lab's smart product platform needed analytics infrastructure processing IoT data at scale. These projects require edge AI, real-time processing, and cloud analytics working together.
WHY ISOTECH
We Don’t Just Build Models. We Deliver Business Results.
Traditional Analytics Consultancies:
- Generic dashboards regardless of business questions
- AI projects focused on technology instead of outcomes
- Limited understanding of specialized industries
- No ongoing optimization after initial deployment
Isotech:
- Business-focused analytics answering actual questions
- AI implementations delivering measurable ROI
- Deep technical knowledge across industries and data types
- Ongoing monitoring and model improvement
Our Advantage:
Two decades of technology experience across industries with different data challenges. Five years of hands-on AI/ML work brings practical expertise in what actually works in production environments.
Engineering software expertise means we understand technical data extraction. We’ve pulled insights from CAD files, BIM models, and simulation results. Design optimization, workflow analysis, and quality prediction for engineering processes are areas we know well.
Regional expertise in Middle East & Africa means we design for actual infrastructure conditions. We account for connectivity constraints, data sovereignty requirements like PDPL, limited local AI talent, and the need for solutions that work offline when necessary.
Practical AI Architecture:
We build AI that works in real-world conditions. Edge processing for low-latency decisions. Cloud analytics for pattern detection across large datasets. Hybrid approaches combining on-premise and cloud processing. Your AI adapts to infrastructure reality instead of requiring perfect conditions.
ENGAGEMENT MODELS
Flexible engagement options matching your needs:
- Data Assessment: Current-state analysis and opportunity identification
- Analytics Projects: Fixed-scope dashboard or reporting implementation
- AI Development: Model development, training, and deployment
- Staff Augmentation: Embedded data scientists and engineers
- Retainer Arrangements: Ongoing analytics support and model optimization
Whether you’re building your first dashboard or implementing enterprise-wide AI, we scale with you.
TECHNOLOGY & PLATFORMS
Analytics & BI: Power BI, Tableau, Looker, Qlik
Data Platforms: Azure Synapse, AWS Redshift, Snowflake, Databricks
ML Frameworks: TensorFlow, PyTorch, scikit-learn, Azure ML, AWS SageMaker
Data Integration: Azure Data Factory, Apache Airflow, Talend
Big Data: Apache Spark, Hadoop, streaming analytics platforms
Specialized: Computer vision, NLP, time series forecasting, optimization algorithms
Certifications: Microsoft Azure Data & AI Partner, AWS Machine Learning competency
Schedule a free 60-min data assessment. We’ll review your current data landscape, identify high-value opportunities, and outline a roadmap for analytics and AI.
Disclaimer: The information provided on this page is for general informational purposes only. Data and AI recommendations are tailored to each client’s specific business questions, data availability, and infrastructure. Actual results depend on data quality, consistent implementation, and organizational adoption. AI model performance varies based on training data and operational conditions. All pricing mentioned is indicative and subject to detailed assessment and quotation.
ISO Tech Technologies LLC respects your privacy and handles all consultation inquiries confidentially in accordance with UAE data protection regulations.