Enter password to view case study

BEAMR FOR AUTONOMOUS

We Know Which Bits Your Models Need.

ML-safe video data compression, half the footprint in real-world and synthetic footage. Proven in OEM pipelines.

Validated by
mAP
ML accuracy<2%Difference in
model
Frame Analysis
Codec: HEVC
CABR™ Active
File size Reduction
50%
AV video data storage
BEAMR FOR AUTONOMOUS

We Know Which Bits Your Models Need.

ML-safe video data compression, half the footprint in real-world and synthetic footage. Proven in OEM pipelines.

Validated by
mAP
ML accuracy<2%Difference in
model
Frame Analysis
Codec: HEVC
CABR™ Active
File size Reduction
50%
AV video data storage
BEAMR FOR AUTONOMOUS

We Know Which Bits Your Models Need.

ML-safe video data compression, half the footprint in real-world and synthetic footage. Proven in OEM pipelines.

Validated by
mAP
ML accuracy<2%Difference in
model
Frame Analysis
Codec: HEVC
CABR™ Active
File size Reduction
50%
AV video data storage
What You Can Do With Lighter Data
How AV teams are compressing petabytes without losing what their models detect
ML-SAFE COMPRESSION
Train on Less. Detect the Same.
Compress petabytes of training data 41–57% and retrain. Same accuracy across perception, detection, segmentation, and scene classification. CABR removes the bits your models were never using — validated end-to-end across real-world and synthetic footage. Your train, your models, your data.
ON THE EDGE
Drive Longer. Upload Faster.
Compress on-vehicle before data ever leaves the fleet. Drives run longer before on-board storage fills. Uploads finish faster over 5G or at charging stations. The same data reaches your cloud — carried by fewer bits.
SYNTHETIC DATA
Simulate More. Store Less.
Synthetic datasets compress up to 5× with CABR — significantly more than real-world footage. Generate the training volume your models need without the storage cost to match. Sensor fidelity preserved. Training results unchanged.
DATA CURATION
Compress Before You Curate.
Compress your data before it enters your curation pipeline. Captioning, classification, and retrieval all produce identical results — same embeddings, same scene attributes, same downstream output. Lighter data through every stage of curation, not just at the end.
What You Can Do With Lighter Data
How AV teams are compressing petabytes without losing what their models detect
ML-SAFE COMPRESSION
Train on Less. Detect the Same.
Compress petabytes of training data 41–57% and retrain. Same accuracy across perception, detection, segmentation, and scene classification. CABR removes the bits your models were never using — validated end-to-end across real-world and synthetic footage. Your train, your models, your data.
ON THE EDGE
Drive Longer. Upload Faster.
Compress on-vehicle before data ever leaves the fleet. Drives run longer before on-board storage fills. Uploads finish faster over 5G or at charging stations. The same data reaches your cloud — carried by fewer bits.
SYNTHETIC DATA
Simulate More. Store Less.
Synthetic datasets compress up to 5× with CABR — significantly more than real-world footage. Generate the training volume your models need without the storage cost to match. Sensor fidelity preserved. Training results unchanged.
DATA CURATION
Compress Before You Curate.
Compress your data before it enters your curation pipeline. Captioning, classification, and retrieval all produce identical results — same embeddings, same scene attributes, same downstream output. Lighter data through every stage of curation, not just at the end.

Every dataset carries bits no model needs. We find them. We remove them. So your models train on what matters.

Every dataset carries bits no model needs. We find them. We remove them. So your models train on what matters.

See it Yourself
Same quality. Fewer bits. Drag to compare.
76%
Savings
1 gb
407 mb
Source
CABR HEVC
See it Yourself
Same quality. Fewer bits. Drag to compare.
76%
Savings
1 gb
407 mb
Source
CABR HEVC

Trusted by the Best. Integrated by the Biggest.

The combination of high-performance NVIDIA NVENC with Beamr's CABR technology offers businesses with large video repositories a compelling solution for reducing storage requirements without compromising video quality, at scale

Sepi MotamediGlobal Broadcast Industry Strategy and Marketing Lead at NVIDIA

Beamr’s commitment to innovation and quality execution helps our mutual customers receive cloud-enabled, automated, and scalable video processing solutions ready to meet critical business needs

David Hicks Group Vice President, Market and Business Development, OCI & AI at Oracle

Not only did Beamr's encoder perform significantly faster, but it also produced superior video quality compared to other solutions including open source projects

Tomer SchechterCEO, TAG Video Systems

Frequently Asked Questions

Beamr's patented CABR technology delivers up to 50% bitrate reduction while maintaining mathematically proven quality. Unlike traditional encoders, Beamr verifies every frame against the original.

Beamr supports all major codecs including H.264/AVC, H.265/HEVC, AV1, and VP9. It works with standard container formats like MP4, MKV, and TS, at resolutions up to 8K.

Most customers are up and running within days. Beamr provides drop-in compatibility with major encoding pipelines, CDNs, and cloud platforms.

Typical customers see 30-50% reduction in CDN bandwidth costs and 20-40% storage savings. The exact savings depend on your content type, current encoding settings, and delivery infrastructure.

Let's Talk About Your Bits.

See what we can do with your video.