Vivid Infotech Saudi Arabia -
Driving Digital Transformation Locally

Empowering businesses in Saudi Arabia with innovative software solutions,
AI-driven technology, and scalable digital services tailored to your growth.

At Vivid Infotech, we help Saudi businesses leverage technology to drive growth, efficiency, and innovation. Our solutions are designed to meet the unique challenges of the local market while benefiting from our global expertise.

Why Choose Us?

  • Local expertise with global experience
  • End-to-end support for all projects
  • Scalable, secure, and future-ready solutions

Our Services

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Custom Software Development

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Web & Mobile Applications

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AI & Machine Learning Solutions

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E-Commerce Platforms

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UI/UX Design

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Cloud & IT Infrastructure

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ERP Software Development

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IT Staffing Recruitment Services

Contact us today to explore how we can help your business thrive

Our Saudi Team

Mohammed Ibrahim

mohammed@vividinfotech.com

Co- Founder & Partner (VIVID Infotech Saudi Arabia)

Hisham Aldarwish

hisham@vividinfotech.com

Managing Director - Sales & Partner Relationship Head (Saudi Arabia)

Ayman

ayman@vividinfotech.com

Co- Founder & Partner (VIVID Infotech Saudi Arabia)

Mubarak Basha

mubarak@vividinfotech.com

CEO (VIVID Infotech)

Commercial Registration
Certificate – Vivid Infotech Company

Saudi Arabia

C4Q9+X4W, Prince Mohammed Bin Fahd Road, Ar Rabi, Dammam 32241


+966 56 450 5189


mohammedabdalnabi@gmail.com


VIVID INFOTECH SOFTWARE SOLUTIONS

Retail Sales Prediction and Inventory Optimization

Client Internal Demo / Concept Project
Tech Stack Python, scikit-learn, Pandas, Matplotlib
Description Developed a machine learning model that forecasts sales trends based on historical POS data. Helped identify overstocked and understocked items, improving warehouse efficiency by 30%.

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Personalized Recommendation Engine for E-commerce

Client Demo for Retail Sector
Tech Stack Python, Django, scikit-learn, Redis
Description Developed a collaborative filtering-based recommendation engine that increased cross-selling and customer engagement in demo simulations.

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Al-Based Quality Inspection in Manufacturing

Client Internal POC for Manufacturing Clients
Tech Stack OpenCV, TensorFlow, Flask
Description Created a computer vision model that detects visual defects in products on the assembly line, using real-time image feeds. Increased defect detection accuracy to 92%.

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NLP-Powered Customer Support Chatbot

Client Internal Tool for Customer Ticketing System
Tech Stack Python, spaCy, Rasa, FastAPl
Description Built a conversational chatbot capable of answering FAQs, creating support tickets, and escalating issues to human agents. Reduced human workload by 60% and improved response time.

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