VERSES AI Inc., a cognitive computing company, and the G42-backed Analog, an edge computing company focused on seamlessly connecting people, places and things using smart sensors and mixed reality devices, have launched the first in a series of joint smart city projects, to simulate taxi fleet management in Abu Dhabi.
Utilizing Genius, the project objective is to understand how to optimize fleet operations while minimizing congestion and emissions.
“We are excited to kick off this first commercial project and partnership with Analog. Genius is ideally suited for smart cities where there are many stakeholders, each with different systems, hardware and methods for capturing and processing real-time sensor data. We aim to empower Analog with the tools to transform data from various sources into a unified model upon which Genius agents continuously generate insights and recommendations in order to optimize activity, with the goal of producing significant cost savings and efficiency improvements for fleet operators,” said Gabriel René, CEO of VERSES.
Alex Kipman Founder and CEO Analog
“Our vision of AI-powered edge computing is well aligned with VERSES’ vision of a smarter world and we are eager to leverage Genius to not only provide business value but also to amplify human skills and simplify everyday life. This smart city project is a testament to Abu Dhabi’s commitment to advancing technology for the benefit of society. We expect a string of smart city projects that will address challenges in mobility, healthcare, energy, and more, paving the way for a more connected and sustainable future.”
This pilot project is the first in a series of commercial projects that VERSES and Analog, both G42-funded companies, expect to develop together in Abu Dhabi with expected generated revenue for VERSES of approximately $3 million.
Leveraging VERSES’ Genius platform, future initiatives in Abu Dhabi intend to focus on projects in key sectors such as smart mobility, healthcare, and energy, in collaboration with UAE industry stakeholders.
