Overview
Artificial Intelligence is now a core business requirement—not an optional innovation project. In the GCC’s rapidly evolving markets, where operational complexity, data volume, and customer expectations are rising, AI-powered systems give companies a competitive edge by accelerating processes and enhancing decision accuracy.
At IntelliVise.co, we build real-world AI systems designed for impact. Our approach combines machine learning, intelligent automation, predictive analytics, and modern application development to transform fragmented workflows into scalable, autonomous engines that power long-term growth.
Whether your goal is to automate repetitive tasks, build predictive intelligence, launch an AI-integrated mobile app, or deploy a bilingual conversational agent in Arabic and English — we deliver solutions engineered for reliability, performance, and seamless operational integration.
Business Challenges We Solve
- Overdependence on manual processes with rising operational cost
- Slow or inconsistent decision-making due to limited data visibility
- Customer support overload and inconsistent response quality
- No internal or customer-facing mobile applications
- Disconnected systems across CRM, ERP, sales, and operations
- Lack of advanced analytics and predictive forecasting
- Repetitive tasks consuming team bandwidth (classification, validation, reporting)
- No predictive visibility into sales, demand, risk, or operational bottlenecks
Our Process
1. Business & Data Diagnostics
We begin by mapping your workflows, identifying operational inefficiencies, reviewing available data, and determining where AI can deliver the highest ROI—whether through automation, forecasting, or decision intelligence.
2. Solution Architecture
We design a full technical blueprint covering:
• Predictive and forecasting models
• Smart assistants & chatbots
• Automated document processing & classification
• Recommendation engines
• Mobile apps with built-in AI logic
3. AI & Machine Learning Development
Our team builds and trains production-ready models using:
• Large Language Models (GPT, Llama, Falcon)
• Neural networks for forecasting & anomaly detection
• Computer vision for image and video processing
• Advanced NLP for Arabic and English
• OCR for document intelligence
Every model is optimized for measurable business outcomes.
4. Application & Platform Development
We build applications that integrate seamlessly with the AI engine:
• Flutter apps (iOS / Android / Web)
• Enterprise internal tools
• Operational dashboards
• API layers for system integration
Our focus: performance, usability, and scalability.
5. Systems Integration
We connect AI solutions to your operational ecosystem:
• CRM (HubSpot, Zoho, Salesforce)
• ERP & finance systems
• Sales & support workflows
• Custom APIs and internal services
The result: a fully connected business intelligence environment.
6. Deployment & Continuous Optimization
We deploy, monitor, optimize, and support the solution post-launch. AI systems evolve—and we manage that lifecycle for you.
What You Get
- Production-ready AI system integrated with your operations
- Automated workflows that reduce cost and eliminate human error
- Mobile or web apps for internal teams or customers
- Real-time dashboards and intelligent reporting
- Predictive insights tied to business KPIs
- CRM/ERP system integrations
- AI agents for customer service, classification, or sales enablement
- Forecasting models for planning and risk management
Technologies We Use
- Python, FastAPI, PyTorch, TensorFlow
- Large Language Models: GPT, Llama, Falcon
- Firebase, Firestore, Cloud Functions
- Flutter (iOS, Android, Web)
- Node.js, Next.js, Laravel
- Arabic-focused NLP & document intelligence
Case Studies
1. Predictive Sales Engine for a GCC Distributor
We built a demand forecasting model to predict weekly product performance across regions.
Within 90 days:
• 40% reduction in stockouts
• 25% reduction in excess inventory
• Improved procurement planning and cash flow
2. Arabic AI Customer Support Assistant
A multilingual AI assistant trained on real support data handled 65% of conversations end-to-end. Response time improved by 70%, and customer satisfaction increased significantly due to consistent, fast answers.
3. Field Operations App for Internal Teams
A Flutter app with image capture, task logging, and GPS tracking connected to a unified dashboard. Reporting delays dropped from days to minutes, empowering managers with real-time operational visibility.
Trusted by Leading Teams
