Let's Talk
Fleet video data surge
Training autonomous vehicles requires vast amounts of real-world footage and synthetic videos - scaling to hundreds of petabytes annually, or even more
Mounting expenses
With growing streams of video data - cloud storage, egress, and compute usage rise sharply, driving up spend
Workflow bottlenecks
Massive datasets create friction across the ML lifecycle—slowing training, inference, and analysis, and straining infrastructure efficiency
Reduce video size by up to 50% while preserving the visual fidelity required for ML training and inference. Beamr’s Emmy® Award-winning Content-Adaptive Bitrate (CABR) technology delivers optimized compression while ensuring autonomous vehicle perception and enabling high-performance processing at scale
Calculate savings
Trusted by
Compression artifacts can degrade ML accuracy. Beamr's patented content-adaptive (CABR) technology preserves critical visual cues for autonomous driving, adjusting compression frame-by-frame based on perceptual relevance for both humans and machines. Our recent benchmark testing with a real-time object detection model showed CABR's ability to achieve enhanced compression with high detection accuracy.
Read the blog post: How Content-Adaptive Video Compression Tackles Autonomous Vehicle Data Explosion >>
Trusted by industry leaders and with decades of expertise, our technology is now tailored to address your specific needs in autonomous driving and computer vision
Led by video experts
Work directly with seasoned video compression experts, from integration through optimization
Tailored to your stack
Custom pipelines and variety of deployment options that fit into your existing infrastructure and workflows
Scales with your fleet
As your vehicles fleet and data volume grow, our solution adapts to your changing needs
Our partners:
Discover how much you can save on video data with Beamr’s optimized compression. Reduce file size without compromise on visual quality and ML performance
Deploy with a managed solution in your cloud or ours. Integrate using Beamr’s FFMPEG plugin or SDKs (python, C++, Node.js)
Ingest any input. Output in industry-standard codecs: AVC, HEVC, and AV1
Process video locally within your environment. No data leaves your infrastructure
Let’s talk about your AV video savings