Beamr to Demonstrate ML-Safe Video Data Compression for Physical AI at GTC 2026

Core Insights - Beamr Imaging Ltd. is set to demonstrate a validated ML-safe video data compression technology for physical AI applications at GTC 2026, showcasing a reduction in file sizes by up to 50% while maintaining machine learning model accuracy [1][3]. Group 1: Technology and Innovation - Beamr's patented Content-Adaptive Bitrate (CABR) technology effectively addresses the challenges of video data compression, achieving up to 50% file size reduction while preserving model accuracy across various metrics [3]. - The company will collaborate with VAST Data to demonstrate GPU-accelerated video RAG/VSS solutions that enhance data ingestion processes while ensuring ML-safe results [4]. Group 2: Market Applications - Physical AI applications, such as autonomous vehicles and robotics, require efficient management of petabyte-scale video data, which is rapidly increasing in volume [2]. - Beamr's technology is particularly beneficial for industries managing large video datasets, including autonomous vehicles, media and entertainment, where video-language models facilitate efficient data curation [4]. Group 3: Company Background - Beamr is recognized as a leader in content-adaptive video compression, with a strong client base that includes major media companies like Netflix and Paramount, and is backed by 53 patents [6]. - The company offers flexible deployment options for its technology, including on-premises and cloud solutions, making it accessible for various customers, including those using AWS and Oracle Cloud Infrastructure [7].