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Beamr Issues Q1-2026 CEO Letter to Shareholders: Advancing Towards Strategic Account Agreements

(Positive)
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Beamr (NASDAQ:BMR) issued its Q1-2026 CEO letter, highlighting progress in AI video for media and entertainment and autonomous vehicles. The company reported $0.63M in revenue, roughly in line with Q1-2025, and $9.6M in cash and deposits as of March 31, 2026.

Beamr detailed 10 active AV proofs of concept, ecosystem collaborations with NVIDIA, AWS, VAST Data and dSPACE, renewal of key media customers including JioHotstar, and the launch of VISTA, a managed platform for large-scale subjective video quality testing.

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Positive

  • Q1 2026 revenue of about $0.63M, in line with Q1 2025
  • Cash and deposits of $9.6M as of March 31, 2026
  • Renewed contract with JioHotstar and most major M&E customers
  • Active pipeline with 10 AV proofs of concept
  • Launch of VISTA platform for scalable subjective video quality testing

Negative

  • Quarterly revenue remains modest at approximately $0.63M for Q1 2026
  • Company notes typically long AV sales cycles, delaying monetization

News Market Reaction – BMR

-7.61%
7 alerts
-7.61% News Effect
-4.5% Trough in 4 hr 53 min
-$2M Valuation Impact
$29.27M Market Cap
0.7x Rel. Volume

On the day this news was published, BMR declined 7.61%, reflecting a notable negative market reaction. Argus tracked a trough of -4.5% from its starting point during tracking. Our momentum scanner triggered 7 alerts that day, indicating moderate trading interest and price volatility. This price movement removed approximately $2M from the company's valuation, bringing the market cap to $29.27M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -7.6% in the session following this news. A negative reaction despite this CEO lette...
Analysis

The stock moved -7.6% in the session following this news. A negative reaction despite this CEO letter would contrast with the company’s emphasis on a growing AV pipeline, 10 active PoCs, and renewals with major M&E customers like JioHotstar. Past news sometimes saw divergence between positive technical milestones and price moves, suggesting sentiment and liquidity can outweigh fundamentals until investors see clearer revenue acceleration or larger-scale contracts.

Key Figures

Q1 2026 revenue: $0.63 million Cash and deposits: $9.6 million Depth error reduction: 30.7% reduction +5 more
8 metrics
Q1 2026 revenue $0.63 million Three months ended March 31, 2026; in-line with Q1 2025
Cash and deposits $9.6 million Balance sheet as of March 31, 2026
Depth error reduction 30.7% reduction Depth estimation error on vulnerable road users in AV research
Aggregate error reduction 16.0% reduction Aggregate depth estimation error across all object classes
File size reduction (research) 35.2% reduction CABR-compressed AV video used for depth-model training
File size vs baseline 31% reduction CABR vs baseline encodes in dSPACE RTMaps validation
File size vs uncompressed 97% reduction CABR vs uncompressed data in dSPACE RTMaps validation
JioHotstar subscribers 450 million Scale of streaming platform using CABR for cost reduction

Historical Context

5 past events · Latest: May 20 (Positive)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 20 Conference presentation Positive +0.0% AutoSens USA presentation of ML-safe video data stack for AV pipelines.
May 12 Conference showcase Positive -3.7% Smart Mobility Summit demo of AV video stack and robustness metrics.
May 06 AI research update Positive -1.0% Research showing CABR compression improves AV depth-model training metrics.
Apr 20 Technical validation Positive +4.4% dSPACE RTMaps validation of ML-safe compression with large file-size cuts.
Apr 10 Product launch Positive +6.9% Launch of VISTA subjective quality testing platform and NAB demo plans.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Positive technical/commercial news often saw muted or mixed reactions, with only 2 of the last 5 events producing clearly positive next-day moves.

Recent Company History

Over the past two months, Beamr has focused on validating its ML-safe compression and scaling its AI video stack. Key milestones include the VISTA launch on Apr 10, ML-safe validation with dSPACE on Apr 20, and CABR AI training research on May 6. Subsequent conference-focused announcements on May 12 and May 20 highlighted adoption efforts. Today’s Q1-2026 CEO letter adds financial detail and broader pipeline context to this same strategic trajectory.

Key Terms

content-adaptive compression, hardware-in-the-loop (HIL) testing, content-adaptive bitrate technology (cabr), gpu-accelerated compression, +4 more
8 terms
content-adaptive compression technical
"both demonstrating Beamr's content-adaptive compression within their products and solutions."
A method that shrinks digital files by changing how data is stored depending on what the data actually contains, so text, images, video or sensor readings are compressed in the most efficient way for their specific patterns. It matters to investors because it can cut storage, bandwidth and processing costs for companies that handle large volumes of data, speed up product performance, and affect margins much like switching from bulky paper records to compact, searchable files.
hardware-in-the-loop (HIL) testing technical
"including video data simulation and hardware-in-the-loop (HIL) testing."
Hardware-in-the-loop (HIL) testing is a development and validation method where real physical components are connected to a simulated environment that mimics the rest of the system, allowing engineers to test how the hardware behaves under realistic conditions without building the full product. For investors it matters because HIL helps find design faults early, reduces costly field failures, speeds development and supports regulatory approval, which can lower project risk and preserve value — like test-driving an actual engine while the rest of the car is a simulator.
content-adaptive bitrate technology (cabr) technical
"Beamr's Content-Adaptive Bitrate technology (CABR) delivered 31% file size reduction"
Content-adaptive bitrate technology (CABR) is a way of delivering video that changes the stream’s quality in real time based on how complex each scene is and the viewer’s connection, so simple scenes use less data and busy scenes get higher detail. Like a car shifting gears for hills versus flat roads, it helps platforms give smoother playback and better picture without wasting bandwidth, which can lower delivery costs and reduce viewer churn—key factors for investors evaluating streaming efficiency and profitability.
gpu-accelerated compression technical
"video solutions powered by GPU-accelerated compression to reduce file sizes"
Using graphics processors (GPUs) to perform data compression much faster than a regular computer brain, by running many simple tasks at the same time. Investors care because it can cut storage and bandwidth costs and speed up applications that move or archive large amounts of data—similar to hiring a specialized assembly line that shrinks files quickly so operations run cheaper and faster.
video-language models (vlms) technical
"where video-language models (VLMs) enable scalable semantic curation"
Video-language models (VLMs) are artificial intelligence systems that watch video and convert what they see into meaningful text or use text to describe, search, or generate video content — like a translator that turns moving images into searchable words and back again. Investors care because VLMs can automate content tagging, improve ad targeting, speed regulatory oversight, and create new product lines, which can lower costs, boost revenue, or change competitive dynamics in media and tech businesses.
proofs of concept (pocs) technical
"Currently, we have 10 active Proofs of Concept (PoCs)."
A proof of concept (PoC) is a small-scale demonstration or pilot that shows whether a technology, product, process, or idea can work in practice, usually under controlled or limited conditions. For investors it matters because a successful PoC reduces uncertainty about technical feasibility and early market fit—think of it as a test-drive that helps decide whether to commit more money, time, or resources and can influence a company’s timeline, funding needs, and perceived value.
autonomous vehicles (av) technical
"our main markets in AI video - media and entertainment (M&E) and 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.
subjective video quality testing technical
"launched VISTA, a managed platform for subjective video quality testing at scale."
Subjective video quality testing is a method where real people watch video samples and give scores or feedback about how the picture and sound look to them, rather than using only computer measurements. Investors care because these human reactions reveal how viewers experience a service—similar to customer reviews for a restaurant—affecting user retention, brand reputation, pricing power and choices about where to invest in technology or content delivery.

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

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Herzliya, Israel, May 27, 2026 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, today issued a Letter to Shareholders from Sharon Carmel, Chief Executive Officer.

Dear Shareholders:

I am pleased to share Beamr's Q1-2026 updates and achievements. Building on the strategy we outlined in the beginning of the year, we delivered concrete progress this quarter across our main markets in AI video - media and entertainment (M&E) and autonomous vehicles (AV). We are seeing encouraging momentum through customer renewals and expanding engagement with prospective customers, which we hope will advance into strategic account agreements in the coming months.

Since the beginning of 2026 we have participated in five industry conferences and events, holding more than 300 meetings with customers, prospects, and partners, demonstrating our technology and starting new engagements. Our major activities in the AV and broader AI video markets included joint workflows with VAST Data at NVIDIA GTC and with dSPACE at their User Conference - both demonstrating Beamr's content-adaptive compression within their products and solutions. The demonstration with dSPACE - a leading provider of solutions for the development of connected, autonomous, and electrically powered vehicles - validated, for the first time, compression for AV video data in the dSPACE RTMaps ecosystem while preserving machine learning (ML) model accuracy and reducing the volume of video data entering AV pipelines. Beamr and dSPACE plan to extend ML-safe compression testing to additional stages, including video data simulation and hardware-in-the-loop (HIL) testing. The demonstration with VAST Data showcased video solutions powered by GPU-accelerated compression to reduce file sizes while delivering ML-safe results during data ingestion. These collaborations, together with our broader ecosystem partnerships with NVIDIA and AWS, place Beamr's offering inside the platforms used by AI video teams.

As our commercial pipeline advances, we are working towards converting two to three accounts across AV, AI, and M&E into potential “lighthouse” accounts in the coming months. These accounts may include direct customers, OEMs, and distribution partners whose adoption of Beamr unlocks broader market reach. We believe these potential lighthouse accounts, if realized, could serve to meaningfully validate our approach, accelerate broader market adoption, and expand our addressable footprint well beyond the initial deployment scope.

In the past months, we have continued to expand our AV commercial pipeline, having engaged with over a dozen top tier AV companies since the launch of our solution about a year ago. Currently, we have 10 active Proofs of Concept (PoCs). AV sales cycles are typically long, and our pipeline depth reflects sustained effort across these engagements.

AV and AI video teams engaging with our technology are seeing the value of ML-safe compression at scale. As a result, we are now extending running PoCs to include comprehensive analysis of the customers' video data pipelines, while productizing this analysis as part of our offering. This will enable us to reach monetization much earlier in the commercial funnel.

The composition of our pipeline, and the caliber of organizations engaging with us - handling petabyte-scale datasets and facing critical challenges in storage, networking, and infrastructure - supports our confidence in the trajectory of our business.

Advancing the ML-Safe Video Data Stack for AV and Physical AI

NVIDIA GTC 2026

In March 2026, Beamr presented at NVIDIA GTC in San Jose, debuting a joint demonstration with VAST Data, the AI Operating System company. The demonstration targeted organizations managing massive video datasets in AV, media and entertainment, and other industries, where video-language models (VLMs) enable scalable semantic curation, with efficient search, filtering, and prioritization of training data across petabyte-scale datasets. During GTC, Beamr’s team engaged in 170 face-to-face meetings with customers, prospects, and partners.

dSPACE User Conference

In April 2026, Beamr and dSPACE, a leading provider of solutions for the development of connected, autonomous, and electrically powered vehicles, announced the first joint validation of compression for AV video data inside the dSPACE RTMaps ecosystem. The demonstration presented at dSPACE User Conference showed testing on real-world sequences where Beamr's Content-Adaptive Bitrate technology (CABR) delivered 31% file size reduction compared to baseline encodes, and 97% reduction relative to uncompressed data, both while preserving ML model accuracy.

Beamr’s technology for robust ML

In May 2026, we published research demonstrating that machine vision models trained on compressed video are more robust than models trained on uncompressed data. The fine-tuned state-of-the-art depth model showed a 30.7% reduction in depth estimation error on vulnerable road users, including pedestrians and motorcyclists, and a 16.0% aggregate reduction for all object classes - while CABR reduced file sizes by 35.2%. We are advancing this research, broadening the evidence base that compression can strengthen, not just preserve, AI model performance.

Beamr presented the new findings together with its AV video data stack at the Smart Mobility Summit. As we extend this research to additional datasets and models, Beamr's content-adaptive compression is taking on an additional role for AI pipelines at scale, combining efficiency with contribution to model robustness and performance.

Expanding our Leadership in Media and Entertainment

JioHotstar - one of the world’s largest streaming platforms

In February 2026, Beamr announced that JioHotstar renewed its contract with Beamr. JioHotstar uses Beamr's CABR technology to deliver a 30%-50% reduction in storage and bandwidth costs, while preserving the viewing experience its 450 million subscribers expect. Beamr’s solution is integrated across the 300,000 hours of content catalog, including premium live sports and movies.

In the past several months, Beamr also renewed agreements with most of our other major M&E customers, several of which have worked with Beamr over multiple years. These renewals reflect the continued demand for Beamr's video optimization for the leading operations in the M&E sector.

Beamr VISTA Launch and NAB Show 2026

In February 2026, Beamr presented to M&E engineers and leaders at the ACM Mile High Video 2026 conference a validation framework that verifies how compressed and AI-enhanced video preserves quality as human viewers perceive it. The framework spans real-time and cost-effective AI quality enhancement integrating NVIDIA RTX Video Super Resolution; CABR GPU-accelerated video compression; and quality verification tools for human viewers.

Building on that, in April 2026, Beamr launched VISTA, a managed platform for subjective video quality testing at scale. The launch was held at NAB Show in Las Vegas, a flagship event for the M&E industry, and gained significant traction including 80 face-to-face meetings and coverage in industry media.

VISTA emerged from Beamr's own need to validate CABR performance and addresses a gap many video teams face, by replacing traditional subjective lab tests that take weeks with an automated workflow that delivers clear go/no-go verdicts within days, with statistical confidence. Through VISTA, we are building the quality-validation layer of our AI video infrastructure stack.

Financial Highlights*

During the three-month period ended March 31, 2026, we generated approximately $0.63 million in revenue, essentially in-line with the revenues the company recorded in the three months ended March 31, 2025.  Our balance sheet remains solid with $9.6 million of cash and deposits, as of March 31, 2026.

Our efforts over the past few months have expanded Beamr’s strategic relationships with industry leading enterprises, strengthened our commercial foundation, and advanced integration into production AI video workflows. We remain focused on disciplined execution, expanding production deployments, and converting strategic engagement into long-term commercial agreements through 2026 and beyond.

Respectfully,

Sharon Carmel
Chief Executive Officer, Beamr Imaging Ltd.

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:
investorrelations@beamr.com

* This unaudited preliminary financial information regarding our revenues for the three months and quarter ended March 31, 2026, is based upon our estimates and subject to completion of our quarter-end financial results. Moreover, this financial information has been prepared solely on the basis of currently available information by, and is the responsibility of, management. Our independent registered public accounting firm has not audited, reviewed or performed any procedures with respect to such preliminary estimates or the accounting treatment thereof and does not express an opinion or any other form of assurance with respect thereto. This preliminary financial information is not a comprehensive statement of our financial results for this period.


FAQ

What were Beamr (NASDAQ:BMR) Q1 2026 financial results?

Beamr reported Q1 2026 revenue of about $0.63 million, essentially in line with Q1 2025. According to Beamr, the balance sheet included $9.6 million in cash and deposits as of March 31, 2026, supporting ongoing growth initiatives.

How strong is Beamr’s cash position after Q1 2026?

Beamr ended Q1 2026 with $9.6 million in cash and deposits. According to Beamr, this solid balance sheet supports continued investment in AI video solutions, customer proofs of concept, and the expansion of strategic relationships across autonomous vehicles and media and entertainment.

What AV and AI video progress did Beamr (BMR) highlight in its Q1 2026 CEO letter?

Beamr reported 10 active AV proofs of concept and engagements with over a dozen top-tier AV companies. According to Beamr, collaborations with VAST Data and dSPACE validate ML-safe compression, reducing AV video data volume while preserving machine learning accuracy across real-world autonomous driving datasets.

How does the JioHotstar renewal impact Beamr’s media and entertainment business in 2026?

Beamr renewed its contract with JioHotstar, one of the world’s largest streaming platforms. According to Beamr, JioHotstar uses CABR to cut storage and bandwidth costs by 30%–50% across 300,000 hours of content while serving about 450 million subscribers.

What is Beamr VISTA and why was it launched in 2026?

Beamr launched VISTA, a managed platform for large-scale subjective video quality testing. According to Beamr, VISTA replaces slow lab-based tests with automated workflows that deliver statistically confident go/no-go quality verdicts within days, supporting AI-enhanced compression and streaming decisions for video teams.

What are Beamr’s planned “lighthouse” accounts mentioned in the Q1 2026 CEO letter?

Beamr aims to convert two to three accounts in AV, AI and media into potential lighthouse customers. According to Beamr, such direct customers, OEMs, or distribution partners could validate its approach and help extend market reach beyond initial deployments if these agreements materialize.

How is Beamr advancing ML-safe compression research for autonomous vehicles in 2026?

Beamr reported research where models trained on compressed video showed 30.7% lower depth error on vulnerable road users and 16.0% aggregate reduction. According to Beamr, CABR also reduced file sizes by 35.2%, suggesting compression can support both efficiency and model robustness.