Beamr's ML-Safe Video Data Technology Now Available on the RTMaps AI Store

Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, and Intempora, a dSPACE company and pioneer in advanced software solutions for autonomous driving, today announced that Beamr's ML-safe video data technology is available on the RTMaps AI Store, ready to use across the AV stack.

AV programs generate video data in tens to hundreds of petabytes, driving up storage and networking costs and slowing development. Beamr and Intempora collaboration lets AV teams reduce their data volumes while preserving ML accuracy, without changing the stack they already rely on.

RTMaps (Real-Time Multisensor Applications) is a modular development and execution middleware, designed to acquire, synchronize, process, record and replay heterogeneous data streams in real-time.

Beamr’s ML-safe compression can be deployed at the stages where video data accumulates: at logging, where compression lets constrained storage hold more recorded footage; in the cloud and data center, where it cuts existing petabyte-scale storage and transfer costs; and in simulation and training, where it reduces the real-world and synthetic datasets feeding hardware-in-the-loop (HIL) testing.

At each stage, Beamr’s content-adaptive bitrate technology (CABR) reduces file sizes by up to 50% while the object boundaries, edges, and scene detail that perception and detection models rely on are preserved. CABR reduces file sizes beyond standard encoding alone, and runs GPU-accelerated for high-throughput processing.