Key Takeaways
- Beamr Imaging Ltd. has made its ML‑safe video‑compression technology available on the RTMaps AI Store, a middleware platform used by autonomous‑vehicle (AV) developers worldwide.
- The collaboration with Intempora (a dSPACE company) lets AV teams cut video data volumes by up to 50 % without degrading the accuracy of perception and detection models.
- Beamr’s content‑adaptive bitrate (CABR) technology can be deployed at multiple stages of the AV data lifecycle—recording, cloud/storage, and simulation/training—to reduce petabyte‑scale storage and networking costs.
- Executives from Intempora, dSPACE, and Beamr emphasize that the solution integrates seamlessly into existing pipelines, providing certainty through Beamr’s Blueprint methodology for end‑to‑end workflow assessment.
- Beamr brings a proven track record (53 patents, an Emmy® Award) and flexible deployment options (on‑premises, AWS, OCI), while Intempora contributes over 25 years of real‑time systems expertise as part of the dSPACE group.
- The press release includes standard forward‑looking‑statement disclosures and provides investor contact information for further inquiries.
Partnership Announcement and Context
Beamr Imaging Ltd. (NASDAQ: BMR) and Intempora, a dSPACE company, announced on July 10, 2026 that Beamr’s ML‑safe video data technology is now accessible via the RTMaps AI Store. The integration enables developers of autonomous‑driving systems to drop Beamr’s compression directly into their existing RTMaps‑based pipelines. By positioning the solution within a widely adopted middleware, the partnership targets a core pain point for OEMs and Tier‑1 suppliers: managing the massive video data streams generated throughout AV development, validation, and deployment.
Challenges of Video Data in Autonomous Vehicles
Autonomous‑vehicle programs routinely produce video data measured in tens to hundreds of petabytes. This explosion inflates storage requirements, strains network bandwidth, and slows development cycles as teams wait for data to be transferred, processed, or archived. Because video constitutes the largest share of AV data, any reduction in its footprint directly translates into cost savings and faster iteration times. The Beamr‑Intempora collaboration addresses this bottleneck by delivering compression that preserves the analytical value of the video while dramatically shrinking its size.
Overview of RTMaps Middleware
RTMaps (Real‑Time Multisensor Applications) is a modular development and execution middleware designed to acquire, synchronize, process, record, and replay heterogeneous sensor streams in real time. Its architecture supports plug‑in components, making it ideal for incorporating specialized tools such as video codecs without disrupting the overall workflow. By hosting Beamr’s compression on the RTMaps AI Store, Intempora offers users a ready‑to‑use, GPU‑accelerated module that can be inserted at any point where video data is generated or consumed.
Beamr’s ML‑Safe Compression Technology
At the heart of the offering is Beamr’s content‑adaptive bitrate (CABR) technology, which intelligently allocates bits based on scene complexity while safeguarding the features that machine‑learning models rely on—such as object boundaries, edges, and fine detail. In testing, CABR achieves up to a 50 % reduction in file size compared with standard encoding, yet it leaves perception and detection accuracy unchanged. The algorithm runs on GPUs, enabling high‑throughput processing suitable for real‑time logging, cloud‑based storage, and simulation environments.
Deployment Points in AV Workflow
Beamr’s compression can be applied at three critical stages of the AV data lifecycle. First, during on‑vehicle logging, compressed video allows limited storage media to capture longer drives or higher‑resolution feeds. Second, in cloud or data‑center repositories, the reduced bitrate cuts petabyte‑scale storage and transfer expenses, easing archival and analytics pipelines. Third, in simulation and hardware‑in‑the‑loop (HIL) testing, smaller datasets accelerate scenario generation and model training, thereby shortening validation cycles. Because the technology is ML‑safe, downstream models continue to behave as if they were fed the original, uncompressed video.
Statements from Intempora and dSPACE Executives
Nicolas Du Lac, CEO of Intempora, highlighted the market need: “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.” Jacob Perrin, ADAS/AD Engineering Manager at dSPACE, added, “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.”
Beamr CEO Perspective and Beamr Blueprint Methodology
Sharon Carmel, Beamr’s CEO, stressed the end‑to‑end value: “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.” The Blueprint service analyzes a customer’s current video pipeline, quantifies potential savings, and validates that ML performance remains intact after compression.
Company Profiles – Beamr
Beamr (Nasdaq: BMR) is a global leader in content‑adaptive video compression, trusted by industry giants such as Netflix and Paramount. Its perceptual optimization technology (CABR) is protected by 53 patents and has earned an Emmy® Award for Technology and Engineering. Beamr’s solutions shrink video file sizes by up to 50 % while preserving visual quality and enabling AI‑driven enhancements. The company serves high‑growth sectors including media and entertainment, user‑generated content, machine learning, and autonomous vehicles, offering flexible deployment options—on‑premises, private or public cloud—with native support for Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI).
Company Profiles – Intempora
Founded in 2000 and headquartered in Paris, Intempora has over 25 years of experience delivering advanced software tools for robotics, autonomous vehicles, and complex real‑time systems. Since 2019 it has been a subsidiary of the dSPACE group, allowing it to provide a seamless end‑to‑end toolchain for AV development alongside dSPACE’s hardware and simulation solutions. Intempora works closely with OEMs and Tier‑1 suppliers worldwide to meet the stringent demands of the automotive industry, and its expertise in real‑time middleware underpins the RTMaps platform that now hosts Beamr’s compression.
Forward‑Looking Statements and Investor Contact
The press release contains customary forward‑looking statements regarding Beamr’s strategic plans, technology trajectory, market expectations, and financial performance. These statements are subject to risks and uncertainties detailed in Beamr’s SEC filings, including its annual report dated February 26, 2026. Readers are cautioned that actual results may differ materially. For further information, investors may contact Beamr’s investor relations team at [email protected].