Beamr's ML-Safe Video Data Technology Now Available on the RTMaps AI Store
Rhea-AI Summary
Beamr (NASDAQ: BMR) announced that its ML-safe video data compression technology is now available as a ready-to-use component on Intempora’s RTMaps AI Store, the autonomous-driving development platform used by OEMs and Tier 1 suppliers.
Beamr’s content-adaptive bitrate (CABR) compression can be deployed at logging, cloud/data center, and simulation/training stages to cut AV video data volumes. According to the company, CABR reduces file sizes by up to 50% beyond standard encoding while preserving object boundaries and scene detail needed for perception and detection models, and runs GPU-accelerated for high-throughput processing.
AI-generated analysis. How Rhea-AI works. Not financial advice.
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Negative
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Key Figures
Previous AI Reports
| Date | Event | Sentiment | 24h Move | Catalyst |
|---|---|---|---|---|
| May 06 | AI research update | Positive | -1.0% | Research validated CABR compression as an AI training asset with size cuts. |
| Mar 12 | AI demo announcement | Positive | +1.8% | Planned GTC 2026 demo of ML-safe compression for physical AI workflows. |
| Feb 26 | Annual CEO letter | Neutral | -9.8% | Annual AI video strategy, partnerships and 2025 financial performance update. |
| Oct 15 | AI showcase events | Positive | -5.0% | Showcasing NVIDIA-powered video solutions and CABR at major AI conferences. |
| Sep 08 | 4K AI demo | Positive | +0.4% | Demo of AI-powered 4K enhancement with CABR to cut CDN distribution costs. |
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
AI-tagged announcements have often been followed by modestly negative next-day moves despite generally positive technological messaging.
Historical Comparison
Across five prior AI-tagged announcements, Beamr’s stock typically moved about -2.75%, suggesting mixed investor enthusiasm; this new RTMaps integration similarly extends the AI video theme into autonomous driving workflows.
Same-tag history shows a path from AI demos and CABR validation through strategic CEO letters toward deeper ecosystem integrations, with this RTMaps listing adding another commercialization step in autonomous-vehicle data pipelines.
Regulatory & Risk Context
Reported short interest appears relatively low, implying limited short-squeeze potential and suggesting that volatility is more likely to follow fundamental or liquidity developments than forced covering.
Key Terms
ml-safe technical
content-adaptive bitrate technical
hardware-in-the-loop technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
Beamr partners with Intempora, a dSPACE company, bringing its compression to the RTMaps middleware - the autonomous-driving development platform used by OEMs and Tier 1 suppliers worldwide
Herzliya, Israel, July 10, 2026 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, and Intempora, a dSPACE company and pioneer in advanced software solutions for autonomous driving, today announced that Beamr's ML-safe video data technology is available on the RTMaps AI Store, ready to use across the AV stack.
AV programs generate video data in tens to hundreds of petabytes, driving up storage and networking costs and slowing development. Beamr and Intempora collaboration lets AV teams reduce their data volumes while preserving ML accuracy, without changing the stack they already rely on.
RTMaps (Real-Time Multisensor Applications) is a modular development and execution middleware, designed to acquire, synchronize, process, record and replay heterogeneous data streams in real-time. Beamr’s ML-safe compression can be deployed at the stages where video data accumulates: at logging, where compression lets constrained storage hold more recorded footage; in the cloud and data center, where it cuts existing petabyte-scale storage and transfer costs; and in simulation and training, where it reduces the real-world and synthetic datasets feeding hardware-in-the-loop (HIL) testing.
At each stage, Beamr’s content-adaptive bitrate technology (CABR) reduces file sizes by up to
"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," said Nicolas Du Lac, CEO of Intempora. "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."
"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," said Jacob Perrin, ADAS/AD Engineering Manager, dSPACE. "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."
"AV programs run many video pipelines, real-world capture, simulation, synthetic data - each feeding different models - and all need to meet their accuracy targets," said Sharon Carmel, Beamr CEO. "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.”
Beamr's ML-safe video data technology for AV is available on the RTMaps AI Store. To evaluate it on your own AV video data, visit this page.
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
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.
Forward-Looking Statements
This press release contains “forward-looking statements” that are subject to substantial risks and uncertainties. Forward-looking statements in this communication may include, among other things, statements about Beamr’s strategic and business plans, technology, relationships, objectives and expectations for its business, the impact of trends on and interest in its business, intellectual property or product and its future results, operations and financial performance and condition. All statements, other than statements of historical fact, contained in this press release are forward-looking statements. Forward-looking statements contained in this press release may be identified by the use of words such as “anticipate,” “believe,” “contemplate,” “could,” “estimate,” “expect,” “intend,” “seek,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “target,” “aim,” “should,” “will” “would,” or the negative of these words or other similar expressions, although not all forward-looking statements contain these words. Forward-looking statements are based on the Company’s current expectations and are subject to inherent uncertainties, risks and assumptions that are difficult to predict. Further, certain forward-looking statements are based on assumptions as to future events that may not prove to be accurate. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’s annual report filed with the SEC on February 26, 2026 and in subsequent filings with the SEC. Forward-looking statements contained in this announcement are made as of the date hereof and the Company undertakes no duty to update such information except as required under applicable law.
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