Beamr unveils AV video compression, 47% smaller

Beamr Imaging Ltd. (BMR) reported on a new product launch, adding ML-Safe lossless video compression for autonomous vehicle test fleets.

Rhea-AI Filing Summary

Beamr Imaging Ltd. (BMR) reported on a new product launch, adding ML-Safe lossless video compression for autonomous vehicle test fleets. The solution compresses raw 12-bit Bayer camera footage on the existing GPU video encoder in the data-collection vehicle, aiming to preserve every bit while reducing storage and transfer needs.

The company states that in its testing, lossless compression of 12-bit Bayer recordings from 8‑megapixel cameras produced files that were 47% smaller than raw, supporting multiple camera streams in real time. The first paragraph of this announcement is incorporated by reference into Beamr’s existing Form S‑8 and Form F‑3 registration statements.

Key Figures

File size reduction: 47% smaller than raw Cameras per test vehicle (maximum): 16 cameras Cameras per test vehicle (typical): 11 cameras +4 more

7 metrics

File size reduction 47% smaller than raw Lossless compression of 12-bit Bayer recordings from 8-megapixel cameras in Beamr testing

Cameras per test vehicle (maximum) 16 cameras A single autonomous test vehicle can run as many as 16 cameras

Cameras per test vehicle (typical) 11 cameras Typical autonomous test vehicle camera count described for AV fleets

Data volume per shift Tens of terabytes Video data recorded by an autonomous test vehicle in one shift

Camera resolution in testing 8 megapixels Resolution of cameras used in Beamr’s 12-bit Bayer lossless compression testing

Incorporated registration statements Form S-8 File Nos. 333-272779, 333-280576; Form F-3 File No. 333-277787 First press release paragraph incorporated by reference into these SEC registrations

AutoSens Europe stand Stand 131 Location of Beamr’s ML-Safe demonstration in Barcelona, September 22–24

Key Terms

lossless compression, ML-Safe, 12-bit Bayer, data logger, +2 more

6 terms

lossless compression technical

"Beamr’s lossless compression keeps footage bit-exact at capture"

A method of shrinking digital files so they take up less space without losing a single bit of original information; when you unpack the file, it is identical to the original. For investors, lossless compression matters because it preserves the accuracy of financial records, regulatory filings and transaction data while cutting storage, backup and transmission costs—like folding and organizing clothes tightly so you can fit more in a suitcase without leaving anything behind.

ML-Safe technical

"launched lossless compression as part of ML-Safe video data compression"

ml-safe means data, content or a process is suitable for use with machine learning systems because it avoids privacy risks, sensitive information, and formats that would break model training. Investors should care because ml-safe materials can be used to build or validate AI tools without legal or ethical roadblocks—like giving a chef pre-washed, pre-cut ingredients that are ready to cook rather than raw, uncertain supplies that could cause delays or liability.

12-bit Bayer technical

"Cameras commonly produce 12-bit Bayer, the camera sensor’s raw output"

data logger technical

"GPU already in the data logger"

content-adaptive video compression technical

"Beamr is a world leader in content-adaptive video compression"

A method of reducing video file size by changing compression settings based on what’s actually in each scene — for example, keeping more detail in complex faces or fast motion and using stronger compression in simple backgrounds. Like a tailor adjusting fabric for different body parts, it preserves perceived quality while lowering bandwidth and storage needs, which matters to investors because it can cut delivery costs, improve user experience, and affect infrastructure and licensing expenses.

autonomous vehicles (AV) technical

"ML-Safe video data compression for autonomous vehicles (AV)"

Autonomous vehicles (AV) are cars, trucks, or other road vehicles equipped with sensors and software that let them navigate and operate without a human driver, like a vehicle with an onboard autopilot or self-driving taxi. For investors, AVs matter because they can change costs and revenue across industries—reducing labor and accident expenses, creating new service models, and reshaping supply chains and regulation—so developments affect company valuations and long-term growth prospects.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Beamr Imaging Ltd. (BMR) announce in this Form 6-K?

Beamr announced the launch of ML-Safe lossless video compression for autonomous vehicle test fleets, designed to compress raw 12-bit Bayer camera footage in real time on existing GPU video encoders while preserving every bit of the original data.

How much can Beamr’s new lossless compression reduce autonomous vehicle video file sizes for BMR customers?

Beamr reports that in its testing on 12-bit Bayer recordings from 8‑megapixel cameras, its lossless compression produced files that were 47% smaller than raw footage, while remaining bit-exact to the original camera data.

How does Beamr’s ML-Safe solution work for autonomous vehicle fleets?

Beamr’s ML-Safe solution combines lossy compression validated against the team’s own ML accuracy metrics with lossless compression that is bit‑exact. It runs on the video encoder integrated in the GPU of the data logger, using encoder resources instead of AI compute cores.

What problem does Beamr (BMR) aim to solve for autonomous vehicle and ADAS test fleets?

Beamr targets the issue that AV test fleets generate more video than they can store or move. Fleets may have up to 16 cameras per vehicle and record tens of terabytes in one shift, often from raw 12-bit Bayer streams that previously could not be compressed in-vehicle.

How is this Beamr announcement related to its existing SEC registrations?

The first paragraph of the press release is incorporated by reference into Beamr’s Form S-8 registration statements (File Nos. 333‑272779 and 333‑280576) and its Form F‑3 (File No. 333‑277787), making that descriptive disclosure part of those registration statements from the Form 6‑K submission date.

Where and when will Beamr demonstrate its ML-Safe lossless compression solution?

Beamr states it will demonstrate the ML-Safe solution at AutoSens Europe in Barcelona, taking place September 22–24, at stand 131, where autonomous vehicle and ADAS teams can see the compression working on AV video data.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Available on EDGAR 09/16/2026 - 04:15 PM Accepted by SEC EDGAR 09/16/2026 - 04:15 PM Learn about SEC filing dates

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

Form 6-K

Report of Foreign Private Issuer

Pursuant to Rule 13a-16 or 15d-16

under the Securities Exchange Act of 1934

For the month of September 2026

Commission file number: 001-41523

BEAMR IMAGING LTD.

(Translation of registrant’s name into English)

10 HaManofim Street

Herzeliya, 4672561, Israel

(Address of principal executive offices)

Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F.

Form 20-F ☒       Form 40-F ☐

CONTENTS

Attached hereto and incorporated herein is the Registrant’s press release issued on September 16, 2026, titled “Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets”.

The first paragraph in the press release attached to this Form 6-K as Exhibit 99.1 is hereby incorporated by reference into the registrant’s Registration Statement on Form S-8 (File No. 333-272779 and 333-280576) and Form F-3 (File No. 333-277787), to be a part thereof from the date on which this report is submitted, to the extent not superseded by documents or reports subsequently filed or furnished.

1

EXHIBIT INDEX

Exhibit No.
99.1		Press release titled: “Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets.”.

2

SIGNATURES

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.

	Beamr Imaging Ltd.
Date: September 16, 2026	By:	/s/ Sharon Carmel
	Name:	Sharon Carmel
	Title:	Chief Executive Officer

3

Exhibit 99.1

Beamr Launches ML-Safe Lossless Compression for Autonomous Vehicle Fleets

Autonomous vehicle test fleets generate more video than they can store or move. Beamr’s 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 22–24, 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 ML-Safe solution at AutoSens Europe in Barcelona, September 22–24, stand 131.

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.

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.

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.

“Through 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,” said Sharon Carmel, Beamr CEO. “By 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.”

“Lossless compression was the piece missing from Beamr’s ML-Safe video data compression solution for AV,” said Dani Megrelishvili, Beamr CPO. “We 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.”

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.

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 and follow us on Linkedin and X.

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, including statements relating to the capabilities, performance, applications, market opportunities, adoption, commercialization and potential benefits of the Company’s technology, products and solutions, and the Company’s 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 “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:
investorrelations@beamr.com

Filing Exhibits & Attachments

1 document

Press Releases

• EX-99.1 PRESS RELEASE TITLED: "BEAMR LAUNCHES ML-SAFE LOSSLESS COMPRESSION FOR AUTONOMOU 12.0 KB