Beamr Introduces Lossless Compression for Autonomous Vehicle Data

  • Beamr launched ML-Safe lossless compression for autonomous vehicle fleets, reducing file sizes by 47% while preserving bit-exact data.
  • The solution compresses 12-bit Bayer raw camera output directly in test vehicles, eliminating the need for raw footage storage.
  • Beamr will demonstrate the technology at AutoSens Europe in Barcelona from September 22–24, 2026.
  • The compression runs on existing GPU video encoders, leveraging unused capacity without additional hardware.
  • Beamr’s ML-Safe solution now covers both lossy and lossless compression, tested against AV teams' own accuracy metrics.

Beamr’s lossless compression addresses a critical bottleneck in autonomous vehicle development: the massive data storage and transfer demands of test fleets. As AV teams increasingly rely on high-resolution camera inputs for machine learning models, efficient data compression becomes a strategic necessity. Beamr’s solution positions it as a key enabler in the autonomous vehicle ecosystem, potentially expanding its reach beyond media and entertainment into high-growth automotive markets.

Adoption Pace
How quickly autonomous vehicle developers will integrate Beamr’s lossless compression into their existing workflows.
Competitive Response
Whether competitors will introduce similar lossless compression solutions, potentially pressuring Beamr’s market position.
Scalability
The extent to which Beamr can scale its solution across multiple camera streams in real-time without performance degradation.