Beamr demonstrated a 31% file size reduction in AV video data compression while maintaining machine learning accuracy during a dSPACE conference.
Quiver AI Summary
Beamr Imaging Ltd. and dSPACE have announced a demonstration of Beamr's video compression technology at the dSPACE User Conference on April 21-22, 2026, in Novi, Michigan. This joint demonstration highlights Beamr's Content-Adaptive Bitrate compression (CABR) capability, which achieved a 31% reduction in file size for video data from dSPACE's RTMaps, essential for managing the massive amounts of video data generated during autonomous vehicle tests. Importantly, the compression maintained the accuracy of machine learning models used for AV applications, addressing concerns that teams have about data compression. Beyond this demonstration, Beamr and dSPACE plan to explore further stages of ML-safe compression in various AV development processes, reinforcing the significance of efficient data management for scaling autonomous vehicle pipelines.
Potential Positives
- Beamr achieved a significant 31% reduction in file size for autonomous vehicle (AV) video data while maintaining machine learning (ML) model accuracy, demonstrating the effectiveness of their compression technology in a crucial industry.
- The validation of Beamr's technology within the dSPACE RTMaps ecosystem adds credibility and assurance to AV teams, allowing them to reduce data volumes without altering their existing workflows.
- Beamr's CABR technology has been recognized for its potential impact across high-growth markets such as media, entertainment, and machine learning, reinforcing the company's leadership in video optimization solutions.
Potential Negatives
- Forward-looking statements indicate uncertainty regarding future business performance and potential risks, which may signal instability or lack of predictability to investors.
- The reliance on partners like dSPACE for validation may raise concerns about Beamr's technology being independently robust outside of this collaboration.
- The significant reduction in file size is a positive development; however, the warning that many AV teams hesitate to use compression due to accuracy concerns highlights a potential market skepticism about the efficacy of compression solutions.
FAQ
What was the file size reduction achieved by Beamr on dSPACE RTMaps footage?
Beamr achieved a 31% file size reduction compared to baseline encodes using dSPACE RTMaps.
When and where will the demonstration of Beamr's technology take place?
The demonstration will be held at the dSPACE User Conference on April 21-22, 2026, in Novi, Michigan.
How does Beamr's CABR technology benefit autonomous vehicle data management?
CABR reduces video data volume without compromising ML model accuracy, streamlining storage and processing in AV development.
What is the significance of ML-safe compression for AV teams?
ML-safe compression allows AV teams to reduce data volume confidently without affecting machine learning model performance.
How does Beamr's technology compare with traditional video compression methods?
Beamr’s CABR can achieve up to 50% file size reduction while preserving video quality and enabling AI enhancements.
Disclaimer: This is an AI-generated summary of a press release distributed by GlobeNewswire. The model used to summarize this release may make mistakes. See the full release here.
$BMR Hedge Fund Activity
We have seen 7 institutional investors add shares of $BMR stock to their portfolio, and 9 decrease their positions in their most recent quarter.
Here are some of the largest recent moves:
- NORTHERN TRUST CORP removed 98,570 shares (-100.0%) from their portfolio in Q4 2025, for an estimated $154,754
- CITADEL ADVISORS LLC added 45,209 shares (+inf%) to their portfolio in Q4 2025, for an estimated $70,978
- RENAISSANCE TECHNOLOGIES LLC added 15,000 shares (+56.2%) to their portfolio in Q4 2025, for an estimated $23,550
- TWO SIGMA SECURITIES, LLC added 14,993 shares (+inf%) to their portfolio in Q4 2025, for an estimated $23,539
- JANE STREET GROUP, LLC added 13,528 shares (+inf%) to their portfolio in Q4 2025, for an estimated $21,238
- TWO SIGMA INVESTMENTS, LP removed 10,900 shares (-100.0%) from their portfolio in Q4 2025, for an estimated $17,113
- VIRTU FINANCIAL LLC added 10,889 shares (+inf%) to their portfolio in Q4 2025, for an estimated $17,095
To track hedge funds' stock portfolios, check out Quiver Quantitative's institutional holdings dashboard.
Full Release
Beamr delivered 31% file size reduction compared to baseline encodes on footage from dSPACE RTMaps. Results to be demonstrated at dSPACE User Conference, April 21-22, Novi, Michigan
Herzliya, Israel, April 20, 2026 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, and dSPACE, a leading provider of solutions for the development of connected, autonomous, and electrically powered vehicles, today announced a joint demonstration validating, for the first time, compression for autonomous vehicle (AV) video data in the dSPACE RTMaps ecosystem while preserving machine learning (ML) model accuracy. The demonstration will be presented at dSPACE user conference, held from April 21-22 in Novi, Michigan.
AV fleets generate massive volumes of multi-camera video data during test drives. A single run produces terabytes of footage, choking storage, slowing data transfer, and extending development iteration cycles. Applying compression at the data logging stage reduces the volume of video data entering downstream storage and processing pipelines, where infrastructure costs accumulate at scale. Yet many AV teams hesitate to compress, lacking confidence that file size reduction can be achieved without compromising ML model accuracy.
Testing on real-world sequences processed through dSPACE RTMaps showed Beamr Content-Adaptive Bitrate compression (CABR) delivered 31% file size reduction compared to baseline encodes, and 97% reduction for uncompressed data - while preserving ML model accuracy. RTMaps is a multisensor software framework for data logging and replay, software development, and real-time execution.
In previous benchmarks, CABR demonstrated ML-safe video data compression with up to 50% file size reduction for real-world and synthetic video data, across the AV pipeline. For object detection tasks, CABR showed <2% difference in mean Average Precision, well within the model’s expected variance. Testing with world foundation models showed no measurable impact on AV captioning, evaluated using two embedding models. Beamr and dSPACE plan to extend ML-safe compression testing to additional stages, including video data simulation and hardware-in-the-loop (HIL) testing.
“ML-safe compression is essential for any team running AV pipelines at scale,” said Dani Megrelishvili, Beamr Chief Product Officer. “Validating Beamr's technology inside RTMaps brings that assurance into the dSPACE ecosystem, so teams already running these workflows can reduce their data volumes without rebuilding their pipeline."
To schedule a meeting at dSPACE user conference, please use this link .
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
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.
Investor Contact
[email protected]
