Following the launch of our new MENA region HQ in Dubai, Oran Dror, Axilion CEO & Co-Founder, and Mo Fayez, MENA Region GM and Country Manager, have been talking to about how our solutions are helping to make cities safer, smarter, and better.

Tell us something about your company and the kind of products and solutions that it provides?

We are an AI and software company that harnesses the power of AI to help cities take control of their mobility challenges. Our cutting-edge X Way suite of AI Cloud Services (SaaS), available through Microsoft Azure, generates real-time traffic insights and optimized traffic plans, enhancing urban livelihood. X-Way utilizes powerful Digital Twin technology alongside extraordinary AI to reduce your city’s traffic-related emissions, prioritize eco-friendly travel modes, improve pedestrian safety, adapt swiftly to changing travel patterns, and cut travel time by 40%. X Way has already helped cities bring their visions of smarter, safer, and more efficient futures to life. Some of our success stories include reducing 140,000 tons of yearly carbon dioxide, increasing public transport ridership up 400%, and enhancing pedestrian safety with reduced casualties at signalized intersections.

You recently opened your regional headquarters in Dubai. What does this mean for the business and for the region?

From our perspective, when we look at expanding to new regions, we look at the availability of resources and how technology-ready the city is. For us, expanding into the ME is an exciting opportunity, and Dubai is focused completely on sustainability, safety, and the welfare of its people. We are getting a lot of support and encouragement, and by being based in Dubai, we can conveniently reach out to the Asia-Pacific markets as well. In fact, the UAE is setting the trend in sustainability and ‘smartness,’ and it is a great time to enter the market.

Can you tell us a little more about the technologies that you’re using?

We basically partner with Microsoft and its leading technologies to strike a better balance between traffic, transit, and pedestrians, reach carbon emission goals, and make the streets a safer place for everyone. We also use Deep Reinforcement Learning Technology to maximize existing traffic infrastructure and assess the impact of traffic plan changes before they are deployed through auto-calibrated simulations. Conventional traffic management platforms pre-programmed in advance and based on snapshot assessments are inefficient in today’s complex mobility ecosystem. Our Digital Twin technology automates the planning, analysis, and simulation processes and uses Deep Reinforcement Learning to continuously optimize your traffic signal network.

We also help companies gain granular visibility into network activity and identify traffic issues and their root-causes. Customers can view live network information, including details on traffic conditions, pedestrians, and micro-mobility users, through an easy to use dashboard. Governments can plan entire city grids at one time rather than single intersections and prioritize traffic signals depending on the city’s traffic conditions, needs, or response scenarios.

The original article is available to read here.