Beamr Imaging Ltd. and Intempora, a dSPACE company, have announced the availability of Beamr's ML-safe video data technology on the RTMaps AI Store. The integration enables autonomous vehicle (AV) developers to reduce video data storage requirements while maintaining the machine learning accuracy required for perception, detection, and simulation workflows.
Beamr and Intempora have expanded their collaboration by making Beamr's ML-safe video compression technology available through the RTMaps AI Store. The integration is designed to help autonomous vehicle developers manage the growing volume of video data generated throughout the development lifecycle without disrupting existing software workflows.
Autonomous vehicle programs routinely generate tens to hundreds of petabytes of video data from sensors, increasing storage, networking, and infrastructure costs. By integrating directly into RTMaps, Beamr enables organizations to optimize video storage while maintaining the visual information required by machine learning models.
Beamr's Content-Adaptive Bitrate (CABR) technology reduces video file sizes by up to 50% beyond standard video encoding techniques while preserving the object boundaries, edges, and scene details relied upon by computer vision and perception models.
The technology can be deployed across multiple stages of autonomous vehicle development, including vehicle data logging, cloud storage, simulation environments, synthetic dataset generation, and hardware-in-the-loop (HIL) testing.
Because the solution uses GPU-accelerated processing, organizations can process large video datasets efficiently while lowering infrastructure requirements for data transfer and long-term storage.
"The RTMaps AI Store gives AV teams ready-to-use software components they can easily drop straight into their development pipelines, and compression is a capability our users have been asking for. Beamr is the first compression technology in the store. It lets teams significantly cut the size of their video data without compromising the models that data feeds, inside the framework they already work in." Nicolas Du Lac, CEO of Intempora
RTMaps serves as a real-time middleware platform that enables developers to acquire, synchronize, process, record, and replay multiple sensor streams used in autonomous vehicle development.
According to dSPACE, Beamr's technology demonstrated the ability to significantly reduce video storage requirements while maintaining the detections required by AI perception systems.
"Managing the volume of data AV programs generate is a constant challenge for the teams we work with, and video is the largest part of it. In our testing, Beamr reduced that video data while preserving the detections perception models depend on - which is what makes it the right fit for the petabyte-scale workflows across our ecosystem." Jacob Perrin, ADAS/AD Engineering Manager, dSPACE
Beamr says its compression technology supports multiple AV workflows, including real-world data capture, synthetic data generation, AI model training, and simulation environments, allowing organizations to apply a consistent optimization approach throughout development.
By making its technology available through the RTMaps AI Store, Beamr aims to simplify deployment for developers already using the RTMaps ecosystem.
The company also highlighted its Beamr Blueprint methodology, which helps organizations evaluate existing video workflows before implementing optimization strategies, enabling developers to validate that machine learning performance remains unchanged while reducing infrastructure costs.
"AV programs run many video pipelines, real-world capture, simulation, synthetic data - each feeding different models - and all need to meet their accuracy targets. Our content-adaptive compression achieves improved results over existing workflows, so the same technology reduces data volumes through the AV lifecycle. On the RTMaps AI Store, Beamr's technology fits into existing pipelines without changing how downstream models behave. AV teams want certainty before making changes, and our Beamr Blueprint methodology provides them an end-to-end assessment of their own video workflows.” Sharon Carmel, CEO of Beamr
The integration is now available through the RTMaps AI Store for autonomous vehicle developers evaluating AI-ready video optimization technologies.
About Beamr
Beamr (Nasdaq: BMR) is a world leader in content-adaptive video compression, trusted by top media companies including Netflix and Paramount. Beamr’s perceptual optimization technology (CABR) is backed by 53 patents and a winner of Emmy® Award for Technology and Engineering. The innovative technology reduces video file sizes by up to 50% while preserving quality and enabling AI-powered enhancements.
Beamr powers efficient video workflows across high-growth markets, such as media and entertainment, user-generated content, machine learning, and autonomous vehicles. Its flexible deployment options include on-premises, private or public cloud, with convenient availability for Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI) customers.
For more details, please visit www.beamr.com or the investors’ website www.investors.beamr.com and follow us on Linkedin and X.
About Intempora
Founded in 2000, Intempora is a leading software company based in Paris. Pioneer in providing advanced and innovative software tools for developers of robotics, autonomous vehicles and complex real-time systems since over 25 years. Intempora works closely with OEMs and Tier1 all over the world to fit the expectation of the automotive industry. Since 2019, Intempora is a subsidiary company from dSPACE group. Together we provide a seamless end-to-end toolchain for autonomous vehicles. For more information, visit www.intempora.com and follow us on LinkedIn and Youtube.
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