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The merged firm will be a global leader in translating vehicle data into high-value insights for manufacturers, suppliers, and fleets.
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Fremont, CA: "Combining SafeRide's AI and deep learning technologies with Traffilog's data collection and management capabilities as well as its strong customer-base will enable us to take a huge step forward," said Erez Lorber, CEO of Traffilog, who will remain the CEO of the consolidated company. "Together, we will improve our value proposition for large fleets, leading OEMs, and Tier 1 suppliers, enabling them to make data-driven decisions, develop better products, reduce costs, and create new growth engines."
At the bleeding edge of technology, the platform offers manufacturers, vehicle insurance companies, and fleet owners cutting-edge mobility solutions via secure channels.
Traffilog provides driver and vehicle analytics, as well as predictive maintenance and other services. It enables optimal uptime, performance, and safety thanks to machine learning and Big Data technologies. Traffilog's systems have been installed in more than 20 countries, allowing continuous, actionable cost reduction insights and ECU firmware upgrades from any location at any time.
SafeRide Technologies, a renowned pioneer in artificial intelligence (AI) for the automobile industry, has been acquired by Traffilog, a significant telematics provider, advanced diagnostics, and predictive maintenance services for commercial and passenger fleets. Hundreds of manufacturers and fleets with hundreds of thousands of cars use the merged company's telematics and analytics services worldwide. Meanwhile, to incorporate its AI-based software products into next-generation cars, the business will continue to cooperate with automakers and Tier 1 suppliers worldwide. With offices in San Francisco, Detroit, Germany, Korea, and Israel, the merged corporation will reach worldwide.
Advances in autonomous driving, electrification, data-driven applications, and shared mobility are giving fleet owners and automakers new options to establish new business models. However, the ensuing rise in vehicle complexity brings a slew of concerns, including quality issues, decreased operating efficiency, and a higher total cost of ownership. As a result, fleets, vehicle manufacturers, and suppliers are looking for innovative Vehicle Health Management (VHM) solutions to save maintenance costs, shorten diagnostic and repair times, improve fuel efficiency, eliminate roadside repairs, and reduce downtime.
AI-based solutions enable vehicle fleets to drastically cut operation and maintenance expenses and manufacturers to reduce the cost of vehicle development, increase vehicle quality, minimize warranty claims costs, and more in the middle of this automotive data and software revolution. The company's technologies also enable automakers and their customers to provide advanced internet services and develop new revenue-generating business models.
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