Beamr’s technology, designed for autonomous vehicles and machine learning workflows, enables up to 50% reduction in video storage without compromising model fidelity or visual quality
Herzliya, Israel, June 11, 2025 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, today announced it will launch a high-performance, high-quality video compression solution designed for autonomous vehicles at NVIDIA GTC Paris, taking place June 10-12, 2025, as part of Viva Technology 2025, Europe’s biggest startup and tech event.
In the development of autonomous driving, video is the dominant data type. A single vehicle produces terabytes of video data daily, and training a single autonomous model may require tens to hundreds of petabytes. Beamr’s proprietary technology, with a proven track record in high-efficiency video compression trusted by global media players, now addresses a pressing, costly challenge for autonomous vehicles and machine learning teams: managing video data at scale, including long-term storage and the significant infrastructure investment required.
Beamr’s Content-Adaptive Bitrate (CABR) technology, built on NVIDIA accelerated computing, reduces real-world autonomous driving and synthetic video file sizes by up to 50%. This is achieved while preserving visual quality and critical visual features essential for training autonomous driving models. By addressing key storage, compute, and bandwidth constraints in AI pipelines, it significantly reduces operational costs.
Video capturing for autonomous driving models starts with Advanced Driver Assistance Systems (ADAS), recording real-world driving footage ingested into data centers, where video volumes scale rapidly. Yet, real-world data alone is insufficient for training models that must perform reliably across a wide spectrum of scenarios, including rare edge cases. To address this, a vast amount of synthetic video is generated by platforms such as NVIDIA Omniverse and NVIDIA Cosmos™ world foundation models, helping to amplify training data.
“Autonomous vehicle companies are under mounting pressure from rising video storage demands and infrastructure costs,” said Sharon Carmel, Beamr CEO. “Our content-adaptive technology, accelerated by GPUs, delivers highly efficient compression while maintaining visual quality across a variety of scenarios - both for human perception and machine vision, and in both real-world and synthetic video.”
In recent benchmark testing on raw driving footage using real-time object detection models, Beamr’s CABR achieved compression rates equivalent to the highest-quality compression common in the industry. It maintains high detection accuracy, preserving even fine visual details, demonstrating practically no impact on machine learning performance, while enabling up to 50% savings.
All GTC Paris attendees interested in Beamr's solutions for scalable, high-quality video solutions are invited to schedule a meeting with Beamr’s video experts team. For registration, please click the link.
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.
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 March 4, 2025 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.
