Salik And Parkonic Launch Region’s First Fully AI-Powered Autonomous Parking Solution In Dubai
Salik Company PJSC, the exclusive toll gate operator in Dubai, and Parkonic, a provider of smart parking solutions, have partnered with Dubai Holding. They aim to introduce the region's first fully autonomous AI-powered parking solution. This initiative will cover over 36,000 parking spaces across notable communities in Dubai.
The collaboration aligns with Dubai’s Smart City 2030 and Future Mobility Vision. It introduces a ticketless and barrier-free parking system that eliminates manual inspections. Parkonic’s advanced AI and software platforms, combined with Salik’s payment solutions, enable a frictionless exit for users.

This partnership between Parkonic and Salik ensures a smooth customer experience by facilitating easy movement and preventing fines from overstays. It marks a significant step towards connected mobility infrastructure in Dubai. Residents and visitors will benefit from improved mobility, efficiency, and accessibility due to this smart parking infrastructure.
The project aims to reduce congestion and cut carbon emissions while supporting Dubai’s Net Zero goals. It also enhances the overall customer experience by offering multilingual interfaces and automatic billing without manual interaction.
Imad Alameddine, CEO of Parkonic, stated: "This partnership is a milestone for urban mobility in Dubai. Together with Salik and Dubai Holding, we're building a future where parking is seamless, intelligent, and user-centric. Dubai Holding’s trust in Parkonic reflects our innovation and dedication. This collaboration goes beyond parking; it's about preparing for autonomous vehicles, AI-driven services, and a fully integrated mobility ecosystem. Dubai is leading the way, and Parkonic is proud to be at its core."
Proudly developed and operated within the UAE, this collaboration sets a new standard in urban design ready for the future. The integration of these systems represents an important advancement towards achieving connected mobility infrastructure in the city.
With inputs from WAM