Qai App
Websites, apps and digital platforms.
We design and build websites, apps and online platforms for Qai Tech's other divisions and for clients.
Explore Qai AppA start-up in the UAE
We build solutions with AI and advanced technology.
Qai Tech has seven divisions. They work on apps, drones, space, smart farming, design, cyber security and games.
Our divisions
Seven divisions. One goal.
Each division builds solutions in its own field, using AI and advanced technology. Pick one to see more.
Qai Drones
Drones with AI on board.
We design and build drones with AI on board: Eqab 1 for civil missions and Shaheen 1 for security.
Explore Qai Drones
Qai Space
AI for space.
A new division that uses artificial intelligence to build solutions for space.
Explore Qai Space
Qai Smartcore
Smart places that sense and decide for themselves.
We use AI to run real places. Our first project is a hydroponic farm in Wadi Al Helo, Sharjah.
Explore Qai Smartcore
Qai Studio
Brand, design and creative work.
We create brand identities, ad campaigns, film and photography for Qai Tech and for clients.
Explore Qai Studio
Qai Cyber
Security that tests itself.
AI that tests your systems the way an attacker would, safely and with permission, so weak spots are fixed first.
Explore Qai Cyber
Qai Game
Games, in Arabic.
We bring full Arabic to PC games, then mods and maps for Arabic players. First product: Qai Game Hub.
Explore Qai GameOur name
What Qai stands for.
- 01 Q
Quantum
A new kind of computing that can solve some hard problems much faster. We follow it closely.
- 02 AI
Artificial Intelligence
Software that learns from data and helps make decisions. It is at the centre of everything we build.
- 03 Tech
Technology
Drones, sensors, software and more. We turn new research into products people can use.
We use AI and advanced technology to build solutions that work in the real world.
- 7 Divisions
- 2 Research papers
- 2 Languages
- 2026 Founded
Research
Papers and publications.
- Predictive maintenance Applied study 2025
Leveraging Lightweight AI for Anomaly Detection in Mechanical Power Transmission at the Edge
A TinyML model on an Arduino Nano 33 BLE Sense with an IMU detects DC-motor faults (loose, misaligned, noisy) from vibration signals, reaching 97.1% validation accuracy with millisecond on-device inference for low-cost predictive maintenance.
- Medical AI Journal paper 2025
AI-Powered CNN Model for Automated Lung Cancer Diagnosis in Medical Imaging
Int. J. of Statistics in Medical Research (2025)A convolutional neural network for automated lung-cancer classification on the IQ-OTHNCCD CT dataset (benign / malignant / normal), achieving 95% accuracy and a 0.95 F1-score. Peer-reviewed and published open access.
Let’s build something together.
Whether you are a client, a partner or want to join our team, we would like to hear from you.
contact@qai-technology.com