Beamr tech added to RTMaps autonomous driving store
Beamr Imaging Ltd. reports that its ML-safe video data compression technology is now available on Intempora’s RTMaps AI Store, a middleware platform widely used by autonomous-driving OEMs and Tier 1 suppliers.
Rhea-AI Filing Summary
Beamr Imaging Ltd. reports that its ML-safe video data compression technology is now available on Intempora’s RTMaps AI Store, a middleware platform widely used by autonomous-driving OEMs and Tier 1 suppliers. The integration lets AV teams insert Beamr’s content-adaptive bitrate compression into existing RTMaps-based pipelines for logging, cloud storage, simulation, and training, reducing video data volumes by up to 50% while preserving machine-learning model accuracy. Beamr highlights that its CABR approach is GPU-accelerated and already trusted by major media customers, extending its reach into autonomous-vehicle development workflows.
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Key Figures
Video size reduction: up to 50%
Patents backing CABR: 53 patents
Industry recognition: Emmy Award for Technology and Engineering
3 metrics
Video size reduction
up to 50%
CABR technology reduces video file sizes while preserving detail needed by perception models
Patents backing CABR
53 patents
Perceptual optimization technology CABR is supported by an IP portfolio of 53 patents
Industry recognition
Emmy Award for Technology and Engineering
Beamr’s technology is described as a winner of an Emmy Award for Technology and Engineering
Key Terms
RTMaps AI Store, content-adaptive bitrate technology (CABR), hardware-in-the-loop (HIL) testing, middleware
4 terms
RTMaps AI Store technical
"Beamr’s ML-safe video data technology is available on the RTMaps AI Store"
content-adaptive bitrate technology (CABR) technical
"Beamr’s content-adaptive bitrate technology (CABR) reduces file sizes by up to 50%"
Content-adaptive bitrate technology (CABR) is a way of delivering video that changes the stream’s quality in real time based on how complex each scene is and the viewer’s connection, so simple scenes use less data and busy scenes get higher detail. Like a car shifting gears for hills versus flat roads, it helps platforms give smoother playback and better picture without wasting bandwidth, which can lower delivery costs and reduce viewer churn—key factors for investors evaluating streaming efficiency and profitability.
hardware-in-the-loop (HIL) testing technical
"datasets feeding hardware-in-the-loop (HIL) testing"
Hardware-in-the-loop (HIL) testing is a development and validation method where real physical components are connected to a simulated environment that mimics the rest of the system, allowing engineers to test how the hardware behaves under realistic conditions without building the full product. For investors it matters because HIL helps find design faults early, reduces costly field failures, speeds development and supports regulatory approval, which can lower project risk and preserve value — like test-driving an actual engine while the rest of the car is a simulator.
middleware technical
"RTMaps ... is a modular development and execution middleware"
Middleware is software that acts like a bridge or translator between different applications and systems, allowing them to share data and work together smoothly. Investors care because middleware influences how reliably a company’s technology runs, how easily new features or partners can be added, and whether a software provider has steady, repeatable revenue from integration services—factors that affect growth, costs and long‑term value.
FAQ
What did Beamr Imaging (BMR) announce in its July 2026 Form 6-K?
Beamr Imaging announced that its ML-safe video data technology is now available on Intempora’s RTMaps AI Store, integrating its compression into autonomous-vehicle development workflows used by OEMs and Tier 1 suppliers.
How does Beamr Imaging (BMR) describe the benefits of its compression on RTMaps?
Beamr states its content-adaptive bitrate (CABR) compression can reduce video file sizes by up to 50% while preserving object boundaries and scene detail that perception and detection models depend on across AV pipelines.
Which autonomous driving platform is Beamr Imaging (BMR) partnering with?
Beamr is partnering with Intempora, a dSPACE company, to provide its compression technology on the RTMaps AI Store, a modular middleware platform for real-time multisensor applications in autonomous vehicles.
In which AV workflow stages can Beamr Imaging (BMR) technology be used?
Beamr’s technology can be deployed at logging for storage efficiency, in the cloud and data center for reduced storage and transfer costs, and in simulation and training feeding hardware-in-the-loop testing.
What does Beamr Imaging (BMR) say about preserving model accuracy?
Beamr explains its ML-safe compression is designed to preserve detections and scene details that perception models rely on, aiming to maintain model accuracy while cutting data volume in petabyte-scale AV workflows.
What intellectual property does Beamr Imaging (BMR) highlight in this report?
Beamr highlights that its perceptual optimization technology CABR is backed by 53 patents and has received an Emmy Award for Technology and Engineering, supporting its positioning as a leader in video compression.
AI-generated analysis. How Rhea-AI works. Not financial advice.
