PaxLife Innovations News
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Unified Passenger Information Launched by PaxLife at UITP 2023
Join PaxLife at the UITP Summit, booth #7F238 in Hall 7, for a demonstration of its new paxCMS sofware solution for passenger information.
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PaxLife Innovations and onway Win STA Tender
PaxLife Innovations and onway have won anSTA Tender for a single WLAN and Infotainment System. Image ©STA/Tessaro.
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PaxLife & HUBER+SUHNER Develop a New Railway Antenna
PaxLife Innovations has partnered with HUBER+SUHNER to develop a new railway antenna enabling DAB+ radio broadcasting across Germany.
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PaxLife Innovations to Support Berliner Verkehrsbetriebe PIMS
PaxLife Innovations has been contracted to support the implementation of BVG's new PIMS (Passenger Information Module Subway) system.
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InnoTrans 2022: PaxLife to Highlight Passenger-Related Services
Paxlife Innovations will be highlighting their passenger-related services combined in a single software platform at InnoTrans 2022.
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PaxLife Innovations Offer Passengers Digital Services With railSTACK
PaxLife Innovations introduce railSTACK, the in-vehicle cloud hosting software platform offering passengers digital services on board.
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PaxLife’s CEO to Discuss 5G, Connectivity & Rail Data at IT-TRANS 2022
PaxLife's CEO, Ralf Cabos, will discuss 5G, connectivity, and the management of rail data consumption at IT-TRANS 2022.
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PaxLife Innovations Silver Sponsor of World Passenger Festival
PaxLife Innovations is delighted to be a Silver Sponsor at the World Passenger Festival, taking place on 5 - 6 October 2021 in Amsterdam.
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Virtually Unlimited Onboard WiFi Bandwidth for Passengers
Enabling virtually unlimited onboard WiFi bandwidth for passengers to stream media, while preserving the vehicles’ existing network for othe…
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High-Quality Media Experience Onboard
PaxLife Innovations: How to answer passengers’ evolving demands for increased bandwidth, uninterrupted connectivity and personalised travel.
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Harnessing AI for Condition Monitoring and Predictive Maintenance
PaxLife Innovations and DATAbility Team up to Develop AI-Based Applications for Condition Monitoring and Predictive Maintenance.