{"id":1003975,"date":"2026-09-16T12:09:02","date_gmt":"2026-09-16T16:09:02","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/beamr-launches-ml-safe-lossless-compression-for-autonomous-vehicle-fleets\/"},"modified":"2026-09-16T12:09:02","modified_gmt":"2026-09-16T16:09:02","slug":"beamr-launches-ml-safe-lossless-compression-for-autonomous-vehicle-fleets","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/beamr-launches-ml-safe-lossless-compression-for-autonomous-vehicle-fleets\/","title":{"rendered":"Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets"},"content":{"rendered":"
\n

\n Autonomous vehicle test fleets generate more video than they can store or move. Beamr\u2019s lossless compression keeps footage bit-exact at capture in the test vehicles, while reducing file sizes by 47%. <\/i>\n <\/p>\n

\n Join the demonstration at AutoSens Europe, Barcelona, September 22\u201324, stand 131
<\/i>\n <\/p>\n

Herzliya, Israel, Sept. 16, 2026 (GLOBE NEWSWIRE) — Beamr Imaging Ltd. (Nasdaq: BMR), a leader in video optimization technology and solutions, today launched lossless compression as part of ML-Safe video data compression for autonomous vehicles (AV). The ML-Safe solution, enabling AV teams to reduce video data file sizes while preserving ML model accuracy, now covers lossy compression that is confirmed against the model’s own accuracy metrics, and lossless compression that is bit-exact by definition.<\/p>\n

Beamr will demonstrate its ML-Safe solution at AutoSens Europe<\/a> in Barcelona, September 22\u201324, stand 131.<\/p>\n

AV test fleets generate more video than they can store or move. A single test vehicle runs as many as 16 cameras, and 11 is typical. They can record tens of terabytes in one shift. Cameras commonly produce 12-bit Bayer, the camera sensor’s raw output before it enters the AV pipeline. Until now AV teams often had to keep the footage raw, without compression, since the encoder in the test vehicle did not accept the 12-bit Bayer format. As a result, AV teams had two choices: keep the raw footage and pay for it in drives, swaps and upload time, or delete video data and hope a future model never needs it.<\/p>\n

Beamr’s lossless compression addresses the AV teams need by taking the 12-bit Bayer and compressing it with zero loss. In addition, data-capture capacity is almost doubled, data is preserved, and no new hardware is needed. The work runs on the video encoder that is integrated in the GPU already in the data logger. Since the encoder runs separately from the GPU compute cores, compression draws on capacity the AI models are not using.<\/p>\n

Beamr’s lossless compression is designed to compress multiple cameras in real time on the video encoder of a single GPU. In Beamr’s testing on 12-bit Bayer recordings from 8-megapixel cameras, compressed files were 47% smaller than raw.<\/p>\n

\u201cThrough our joint work with AV and ADAS companies we identified their need for lossless compression at the edge, in the data-collection vehicle, supporting multiple camera streams in real time. So we built it,\u201d said Sharon Carmel, Beamr CEO. \u201cBy running Beamr’s lossless solution accelerated by GPUs, we are demonstrating a solution that reduces the data at the point of capture while preserving every bit of the original camera data.\u201d<\/p>\n

“Lossless compression was the piece missing from Beamr\u2019s ML-Safe video data compression solution for AV,\u201d said Dani Megrelishvili, Beamr CPO. \u201cWe are already offering ML-Safe lossy compression tested against the team’s own models. Now teams that need every bit kept can also compress in the test vehicle. This puts Beamr at the point where data is created, and what is saved there is saved again at every step that follows: on the drives, on the way to the cloud, and in every training run that reads it.”<\/p>\n

Autonomous vehicle and ADAS teams can test Beamr ML-Safe compression on their own video data and pipeline design. To book a meeting at AutoSens Europe, Barcelona (stand 131), or request lossless evaluation on your data, visit beamr.com\/lossless<\/b><\/a>.<\/p>\n

About Beamr<\/b><\/p>\n

Beamr (Nasdaq: BMR) is a world leader in content-adaptive video compression, trusted by top media companies including Netflix and Paramount. Beamr\u2019s perceptual optimization technology (CABR) is backed by 53 patents and a winner of Emmy\u00ae Award for Technology and Engineering. The innovative technology reduces video file sizes by up to 50% while preserving quality and enabling AI-powered enhancements.<\/p>\n

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.<\/p>\n

For more details, please visit www.beamr.com<\/a> or the investors\u2019 website www.investors.beamr.com<\/a> and follow us on Linkedin<\/a> and X<\/a>.<\/p>\n

\n Forward-Looking Statements<\/b>\n <\/p>\n

This press release contains \u201cforward-looking statements\u201d that are subject to substantial risks and uncertainties. Forward-looking statements in this communication may include, among other things, statements about Beamr\u2019s 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, including statements relating to the capabilities, performance, applications, market opportunities, adoption, commercialization and potential benefits of the Company\u2019s technology, products and solutions, and the Company\u2019s ability to execute its growth strategy and create commercial opportunities. 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 \u201canticipate,\u201d \u201cbelieve,\u201d \u201ccontemplate,\u201d \u201ccould,\u201d \u201cestimate,\u201d \u201cexpect,\u201d \u201cintend,\u201d \u201cseek,\u201d \u201cmay,\u201d \u201cmight,\u201d \u201cplan,\u201d \u201cpotential,\u201d \u201cpredict,\u201d \u201cproject,\u201d \u201ctarget,\u201d \u201caim,\u201d \u201cshould,\u201d \u201cwill,\u201d \u201cwould,\u201d 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\u2019s 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\u2019s reports filed from time to time with the Securities and Exchange Commission (\u201cSEC\u201d), including, but not limited to, the risks detailed in the Company\u2019s 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.<\/p>\n

Investor Contact:
investorrelations@beamr.com<\/a><\/p>\n

\"\"
\n
\n \"\"\n <\/div>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

Autonomous vehicle test fleets generate more video than they can store or move. Beamr\u2019s lossless compression keeps footage bit-exact at capture in the test vehicles, while reducing file sizes by 47%. Join the demonstration at AutoSens Europe, Barcelona, September 22\u201324, stand 131 Herzliya, Israel, Sept. 16, 2026 (GLOBE NEWSWIRE) — Beamr Imaging Ltd. (Nasdaq: BMR), a leader in video optimization technology and solutions, today launched lossless compression as part of ML-Safe video data compression for autonomous vehicles (AV). The ML-Safe solution, enabling AV teams to reduce video data file sizes while preserving ML model accuracy, now covers lossy compression that is confirmed against the model’s own accuracy metrics, and lossless compression that is bit-exact by definition. Beamr will demonstrate its … <\/p>\n

Continue reading “Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-1003975","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nBeamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/beamr-launches-ml-safe-lossless-compression-for-autonomous-vehicle-fleets\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Autonomous vehicle test fleets generate more video than they can store or move. Beamr\u2019s lossless compression keeps footage bit-exact at capture in the test vehicles, while reducing file sizes by 47%. Join the demonstration at AutoSens Europe, Barcelona, September 22\u201324, stand 131 Herzliya, Israel, Sept. 16, 2026 (GLOBE NEWSWIRE) — Beamr Imaging Ltd. (Nasdaq: BMR), a leader in video optimization technology and solutions, today launched lossless compression as part of ML-Safe video data compression for autonomous vehicles (AV). The ML-Safe solution, enabling AV teams to reduce video data file sizes while preserving ML model accuracy, now covers lossy compression that is confirmed against the model’s own accuracy metrics, and lossless compression that is bit-exact by definition. 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