Autonomous Vehicle
Train AI for self-driving efficiency.
Autonomous systems need training data from the roads they'll drive. MENA presents unique challenges — dense informal traffic, Arabic signage, dust, glare, and heat — that foreign datasets don't cover.
We run multi-sensor collection programs and high-precision annotation for AV perception, prediction, and planning stacks.
What we deliver
- Multi-sensor road data (camera, lidar, radar partners)
- 2D/3D bounding boxes & semantic segmentation
- Lane, sign & signal annotation (Arabic signage)
- Edge-case scenario mining
- Adverse weather & lighting condition capture
How we work
Collection vehicles capture regional driving data to your sensor spec, and our annotation teams deliver frame-accurate labels with scenario tags for the edge cases AV stacks must survive.
Let's build the next generation of Arabic AI together.
Tell us about your project — speech, text, image, video, or LLM data. We'll scope volumes, languages, and delivery — usually within one business day.
