Beamr 5: AI-Powered Video Optimization
Beamr helps media studios and autonomous vehicle developers lower storage and delivery costs. It is designed for enterprises managing large video repositories that need to reduce bandwidth without losing visual or data accuracy.
At a glance
- Category
- Productivity
- Best for
- Streaming platforms, Media and entertainment studios, Autonomous vehicle developers, Enterprise video engineers, Content delivery network (CDN) operators
- Pricing
- Pricing is usage-based, charged per GB of video processed, with no seat licenses or upfront fees. A free trial is available.
- Key use cases
- Reducing CDN and Storage Costs, Autonomous Vehicle Data Management, 4K Live Streaming, Subjective Quality Validation
- Integrations
- NVIDIA NvEnc, FFmpeg plugin, GStreamer plugin, Python SDK, C++ SDK
- Official website
- www.beamr.com
Beamr 5 is a professional video optimization tool designed for high-scale environments. It uses Content-Adaptive Bitrate (CABR) technology that analyzes video frame-by-frame to select the lowest bitrate that preserves perceptual quality, rather than relying on a fixed target bitrate.
The software is primarily aimed at media and entertainment companies, such as streaming platforms and studios, as well as companies developing autonomous vehicle systems. For these users, it helps reduce the footprint of video data, which may lower CDN and storage expenses.
Beyond compression, the toolset includes the Beamr 5 HEVC encoder for encoding and Beamr VISTA for conducting subjective quality tests. It is designed to be integrated into existing pipelines via SDKs or plugins and can be deployed on-premises or in the cloud as a Docker container.
Buyers should confirm if their current infrastructure supports the required codecs and GPU acceleration for optimal performance.
Key Features
Analyzes each frame individually to apply compression while preserving perceptual quality and ML accuracy.
Supports high-efficiency video coding with performance up to 4Kp60 and HDR support.
Integrates with NvEnc to increase encoding efficiency.
A tool for running subjective quality tests at scale to verify how humans perceive compressed video.
Compatible with industry-standard codecs including AVC, HEVC, and AV1.
Designed to reduce file sizes for autonomous vehicle datasets while supporting model precision (mAP).
Use Cases
Compressing streaming and archive video catalogs to reduce the storage and delivery footprint.
Applying ML-safe compression to raw or encoded AV footage to reduce storage requirements.
Using AI enhancement to upscale 720p or 1080p feeds to 4K, followed by CABR compression to reduce the bitrate.
Running side-by-side video tests with real viewers via VISTA to validate compression settings.
Best For
Integrations
Pricing
Pricing is usage-based, charged per GB of video processed, with no seat licenses or upfront fees. A free trial is available.
FAQ
It uses Content-Adaptive Bitrate (CABR) technology to analyze every frame individually, applying the minimum bitrate necessary to maintain a specific perceptual quality threshold.
Yes, it offers ML-safe compression for autonomous vehicle data, designed to reduce file sizes while maintaining a difference in model accuracy (mAP) under 2%.
Beamr uses a usage-based pricing model where customers pay per GB processed, with no upfront fees or seat licenses.
It supports major industry-standard codecs including AVC, HEVC, and AV1.
Source category: Productivity
Source subcategory: Media Processing
