Tawasul Transport has partnered with Streamax since 2018 to unify its diverse taxi and limousine fleet across Abu Dhabi, UAE. By deploying a customized Mobile Data Terminal (MDT) solution, Tawasul eliminated fragmented in-vehicle devices and successfully integrated multiple e-hailing platforms into a single workflow. This strategic collaboration has enhanced operational visibility and driver safety, serving as a benchmark for intelligent urban mobility in the Middle Eastern market.
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Tawasul Transport and Its Urban Mobility Role
Tawasul Transport is a major mobility operator based in Abu Dhabi, United Arab Emirates, providing large-scale taxi and limousine services across the city. As part of Abu Dhabi’s public transport ecosystem, Tawasul supports daily urban mobility, airport transfers, and premium chauffeur services.
Beyond conventional mobility services, Tawasul is also actively advancing next-generation transport solutions. The company is one of the first operators in Abu Dhabi with approval for Level 4 autonomous driving, reflecting its long-term commitment to intelligent, AI-enabled mobility.
Operating across both traditional and emerging mobility models, Tawasul manages a diverse fleet serving high-density urban traffic and platform-based ride-hailing scenarios. As multiple services run in parallel, the company places strong emphasis on system reliability, safety, and long-term operational consistency.
The Complexity Behind Parallel Mobility Services
Before partnering with Streamax, Tawasul faced growing complexity across its taxi and limousine operations due to fragmented systems. Different services relied on separate in-vehicle devices and platforms, requiring drivers and chauffeurs to switch between terminals or mobile phones to manage bookings—an approach that affected both efficiency and driving safety.
From an operational perspective, this fragmentation limited Tawasul's ability to unify services, integrate multiple e-hailing platforms, and maintain consistent visibility across the fleet, ultimately constraining scalability and service coordination.
From Separate Devices to One In-Vehicle Experience
Since 2018, Streamax has worked closely with Tawasul to replace fragmented in-vehicle setups with a single, workflow-driven system designed for both taxi and limousine operations. Through a unified MDT interface, drivers and chauffeurs can receive bookings from multiple e-hailing platforms directly within the vehicle, reducing device switching and reliance on mobile phones.
Designed for long-term stability and high-frequency daily operations, the system enables Tawasul to manage bookings, driver interaction, and vehicle data through one integrated framework across different service types.
We tested many devices before, but they did not cover our requirements. Streamax customized the solution for the end user. We are happy with that customization, and that’s why Streamax is the right choice—not only for Tawasul, but for almost all operators in Abu Dhabi.
-Aymen Baqi, IT Manager, Tawasul Transport
What Changed in Daily Operations
Tawasul highlighted that reliability and adaptability were key reasons Tawasul chose Streamax as a long-term partner in a demanding operational environment. According to customer feedback, the unified in-vehicle system has simplified daily operations, improved driving safety by reducing device switching, and enabled more consistent booking handling across taxi and limousine services.
Just as importantly, it provides a stable technical foundation that supports Tawasul’s long-term mobility strategy. The long-term partnership has also allowed both teams to gradually overcome deployment and integration challenges through trust, customization, and continuous collaboration.
Building on its experience across taxi and limousine operations, Tawasul is also actively exploring howin-cabin AI and internal monitoring systems can support autonomous mobility scenarios, particularly in the absence of a human driver. These discussions reflect Towasul’s broader vision for intelligent, AI-enabled transport and its continued collaboration with Streamax in shaping the future of mobility in Abu Dhabi.
Our solution adopts a Privacy-by-Design approach, utilizing Edge Computing to process data locally and optimize security. While our technology provides the tools for enhanced safety, we respect the end-user’s role as the Data Controller. This ensures you retain full autonomy and oversight over data usage, enabling your deployment to align seamlessly with local privacy standards and regulatory requirements.
The AI features and performance metrics referenced in our materials are based on data from extensive internal testing and validation under controlled, laboratory-style scenarios. These results are provided to demonstrate our technological capabilities and direction; however, actual performance may vary in real-world operating environments and should be validated by the end-user.
Our AI models are trained on diverse, legally sourced datasets and are designed to function strictly as decision-support tools for human operators. They are not intended for autonomous legal or safety-critical determinations. Product specifications and AI capabilities are subject to change without notice as technology and regulatory requirements evolve.
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