Beamr Imaging will showcase its ML-safe video data stack for autonomous vehicles at AutoSens USA 2026 in Detroit.
Quiver AI Summary
Beamr Imaging Ltd. will present its ML-safe video data stack for autonomous vehicles at the AutoSens USA 2026 conference in June. The company's technology enables significant video file size reductions without compromising model performance, crucial for the training and validation pipelines in autonomous driving systems. Beamr's patented content-adaptive bitrate (CABR) technology has been validated for use in AI model training, demonstrating improvements in depth accuracy for models assessing vulnerable road users. CEO Sharon Carmel emphasized the importance of integrating video compression into the training pipeline for scaling AV systems effectively. Beamr, recognized for its innovative video compression solutions, aims to support engineers managing extensive video data by enhancing efficiency across various applications, including autonomous vehicles.
Potential Positives
- Beamr Imaging is showcasing its ML-safe video data stack for autonomous vehicles at the prestigious AutoSens USA 2026, increasing its visibility and potential client engagement within a key industry.
- The company’s technology enables significant file size reductions (up to 50%) while maintaining model performance, positioning Beamr as a critical player in optimizing AI training and validation processes.
- Recent validation of Beamr's content-adaptive bitrate (CABR) technology shows substantial improvements in model accuracy, enhancing the company's reputation for delivering cutting-edge solutions in the AV industry.
- Beamr's technology is backed by 53 patents and has been recognized with an Emmy® Award, further solidifying its position as an industry leader in video optimization technology.
Potential Negatives
- Contains numerous forward-looking statements that indicate inherent uncertainties and risks, which may undermine investor confidence.
- No specific financial data or performance metrics are provided, potentially raising concerns about the company's current market position and growth prospects.
- The reliance on partnerships with major media companies like Netflix and Paramount may raise questions about Beamr's long-term independence and competitive standing in the market.
FAQ
What will Beamr present at AutoSens USA 2026?
Beamr will showcase its ML-safe video data stack for autonomous vehicles at AutoSens USA 2026 in Detroit.
How does Beamr’s technology benefit autonomous vehicles?
Beamr's technology reduces video file sizes by up to 50% without compromising model performance, aiding in data pipeline efficiency.
Where can I find Beamr at the AutoSens conference?
You can find Beamr at booth 315 during the AutoSens USA 2026 conference.
How does Beamr's CABR technology work?
Beamr's content-adaptive bitrate (CABR) technology enables efficient video compression, supporting AI model training with preserved quality.
Who uses Beamr's video optimization technology?
Beamr's technology is trusted by major media companies like Netflix and Paramount across various high-growth markets.
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.
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Full Release
Herzliya, Israel, May 20, 2026 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, today announced that it will present its ML-safe video data stack for autonomous vehicles (AV) at
AutoSens USA
2026, held from June 9–11 in Detroit. AutoSens is an AV and ADAS engineering-focused conference, attracting professionals and leaders from OEMs, Tier 1, and supply chain companies.
To schedule a meeting with Beamr's team (booth 315), use this
link
.
As autonomous driving advances and integrates with Physical AI applications, the training and validation pipelines performance determine how far the model development can advance. Perception, validation, and simulation engineers need a proven compression approach that will support these scalable pipelines, often reaching hundreds of petabytes.
Beamr is offering its ML-safe video data stack, enabling up to 50% file size reduction without degrading model performance. The stack was validated from perception models through to world foundation models, on real-world and synthetic footage.
Recently, Beamr demonstrated that video compressed with its patented content-adaptive bitrate (CABR) technology can be used as an augmentation step in AI model training. The study demonstrated that treating compression as a training strategy allows it to scale efficiently while preserving the perception accuracy ML systems depend on. A state-of-the-art depth model trained with Beamr-compressed footage, delivered a 30.7% reduction in depth error on vulnerable road users (VRUs), including pedestrians and motorcyclists, while compressing the training data by 35.2% compared to baseline.
"AV engineers managing the petabyte-scale video data pipelines need to train, validate, and scale their systems with confidence. The conversation about video compression has moved from storage and infrastructure decisions into the training pipeline itself," said Beamr CEO, Sharon Carmel. “At AutoSens, we're showing that ML-safe compression can become a foundational layer for the perception models AV programs are building and the Physical AI systems they are integrating with."
To test Beamr's technology on your own data, schedule a meeting at AutoSens USA (booth 315) here .
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]