Beamr Imaging Ltd. Press Release Summary: Benchmark Testing Validates ML-Safe Video Data Workflows for Autonomous Vehicles

Beamr Imaging Ltd. has released benchmark testing results demonstrating that their Content-Adaptive Bitrate (CABR) technology can reduce storage for autonomous vehicle (AV) video data by up to 50% while maintaining machine learning (ML) model accuracy. The testing, which used the PandaSet dataset and a YOLOv8 model, showed an average file size reduction of approximately 48% with less than a 2% difference in mean Average Precision (mAP). This addresses the critical challenge AV developers face in managing massive video data volumes without compromising ML performance. Beamr invites AV teams to meet them at CES 2026 to discuss these findings and ML-safe AV pipelines. The company, a leader in video optimization, has 53 patents and won an Emmy Award for Technology and Engineering. Their technology is trusted by major media companies and is applicable to high-growth markets including machine learning and autonomous vehicles.