Welcome to our dedicated page for Beamr Imaging Ltd. SEC filings (Ticker: BMR), a comprehensive resource for investors and traders seeking official regulatory documents including 10-K annual reports, 10-Q quarterly earnings, 8-K material events, and insider trading forms.
Beamr Imaging Ltd. filings document the company’s disclosures as a foreign private issuer focused on video optimization technology. Recent Form 6-K reports furnish press-release exhibits on CABR compression research, ML-safe autonomous-vehicle video workflows, VISTA subjective quality testing, customer contract renewals, and shareholder communications about AI video strategy.
The filing record also includes annual general meeting materials, proxy cards, shareholder vote results, and references to registration statements on Form S-8 and Form F-3. These documents disclose governance procedures, ordinary-share voting matters, incorporated exhibits, and formal updates tied to Beamr’s product, customer, and commercialization announcements.
Beamr Imaging Ltd. reports six-month 2026 results with revenue of $884 thousand, down 17% from $1.07 million a year earlier, mainly due to a one-time proof-of-concept project in 2025. Gross profit was $744 thousand, while operating expenses rose as Beamr increased investment in growth.
Research and development expenses increased 29% to $2.63 million and selling and marketing expenses rose 38% to $1.46 million, partly offset by a 12% reduction in general and administrative costs to $1.09 million. Net loss widened to $4.40 million from $3.19 million, and operating cash outflow was $3.74 million.
Cash and cash equivalents were $7.74 million as of June 30, 2026, after the maturity of $7.5 million of short-term deposits, supporting positive working capital of $7.14 million. Management states it has sufficient cash to fund planned operations for at least the next 12 months while pursuing opportunities in autonomous vehicles, machine vision and media and entertainment.
Beamr Imaging Ltd. announced integration of NVIDIA Video Super Resolution into its workflows to bring AI upscaling to live sports, broadcast, and streaming. Combined with Beamr’s Emmy Award-winning content-adaptive bitrate (CABR) encoding, the pipeline converts existing HD feeds into a 4K viewing experience without the usual delivery-cost penalty. The solution runs end-to-end on NVIDIA RTX PRO GPUs and can be deployed in the cloud or on-premises.
Quality verification uses Beamr VISTA, which performs subjective viewer testing on customers’ own content to confirm viewers perceive improvements. Beamr will demonstrate the workflow at IBC 2026 in Amsterdam, September 11–14, Stand 1.D22 (Hall 1). The company highlights that its perceptual optimization technology is backed by 53 patents and can reduce video file sizes by up to 50% while preserving quality across media, user-generated content, machine learning, and autonomous vehicle markets.
Beamr Imaging Ltd. Chief Executive Officer Carmel Sharon purchased 82,650 Ordinary Shares on July 22, 2026 in a transaction classified as a “purchase in open market or private transaction.” The weighted average purchase price was $1.285 per share.
According to the footnote, the shares were bought in multiple transactions at prices ranging from $1.19 to $1.38 per share. Following this transaction, Sharon directly owns 3,650,840 Ordinary Shares. The Rule 10b5-1 trading-plan checkbox on the form is not marked.
Beamr Imaging Ltd. provided a preliminary first-half 2026 financial update and a strategic overview focused on autonomous vehicles and Physical AI. Based on preliminary internal results, Beamr generated approximately $0.9 million in revenue during the first six months of 2026, compared to $1.07 million for the six months ended June 30, 2025. The company reported approximately $7.7 million in cash and cash equivalents as of June 30, 2026.
Management emphasized continued execution of its commercialization strategy, product innovation, and customer deployments across autonomous vehicles, AI infrastructure, media and other video‑intensive markets. Over the past 13 months Beamr has redirected its core video compression technology toward managing large visual data volumes in autonomous vehicles and the broader Physical AI market, including partnerships, integration into AV platforms, and deployment of its Beamr Blueprint evaluation tool with a global autonomous vehicle program. The company highlighted a disciplined approach to expenses, while expecting to supplement existing resources over time and evaluate opportunities to strengthen its balance sheet to support future growth initiatives.
Beamr Imaging Ltd. announced Beamr Blueprint, an expert engagement for autonomous vehicle teams to determine which video compression levels are safe for their machine-learning models. Beamr’s specialists map each customer’s AV pipeline, test compression on the team’s own data and models, and deliver a verified plan tailored to that stack.
The first Blueprint engagement is underway with a global AV program. Beamr cites benchmarks where its Content-Adaptive Bitrate technology (CABR) achieved up to 50% reductions in storage, networking, and compute with under 2% change in object-detection mean Average Precision. Blueprint is complemented by ecosystem distribution, including availability of Beamr technology in Intempora’s RTMaps AI Store and planned partner offerings.
Beamr Imaging Ltd. reports that its ML-safe video data compression technology is now available on Intempora’s RTMaps AI Store, a middleware platform widely used by autonomous-driving OEMs and Tier 1 suppliers. The integration lets AV teams insert Beamr’s content-adaptive bitrate compression into existing RTMaps-based pipelines for logging, cloud storage, simulation, and training, reducing video data volumes by up to 50% while preserving machine-learning model accuracy. Beamr highlights that its CABR approach is GPU-accelerated and already trusted by major media customers, extending its reach into autonomous-vehicle development workflows.
Beamr Imaging Ltd. provides a Q1-2026 business update focused on AI video markets in media and entertainment and autonomous vehicles. The company reports revenue of approximately $0.63 million for the three months ended March 31, 2026, essentially in line with the same period in 2025, and holds $9.6 million of cash and deposits as of March 31, 2026.
Beamr highlights expanding engagement in AV through about a dozen top-tier companies and 10 active Proofs of Concept, joint demonstrations with VAST Data and dSPACE, and research showing compressed video can improve machine vision robustness. In media and entertainment, JioHotstar renewed its contract, using Beamr’s CABR technology to cut storage and bandwidth costs by 30%–50% across a 300,000-hour catalog.
The company also launched VISTA, a managed platform for subjective video quality testing, and participated in five industry events with more than 300 meetings, aiming to convert two to three strategic “lighthouse” accounts and turn its growing pipeline into long-term commercial agreements.
Beamr Imaging Ltd. reported research showing its patented Content-Adaptive Bitrate (CABR) video compression can improve AI training for machine vision. A state-of-the-art monocular depth estimation model fine-tuned on AV video compressed with CABR achieved a 35.2% file-size reduction relative to baseline compression.
The fine-tuned model showed a 30.7% reduction in depth estimation error on vulnerable road users, such as pedestrians and motorcyclists, and a 16.0% aggregate error reduction across all object classes. Prior Beamr benchmarks also showed up to 50% file-size reduction while preserving object detection accuracy at mean average precision of 0.96, and 41%–57% reduction for captioning workflows without measurable impact on outputs.
Beamr Imaging Ltd. reported that its Annual General Meeting of Shareholders held on April 20, 2026 approved all three proposals presented to shareholders. The proposals had been detailed in the company’s Notice and Proxy Statement dated March 13, 2026. This report is also incorporated by reference into existing Form S-8 and Form F-3 registration statements.
Beamr Imaging Ltd. filed a Form 6-K highlighting a joint demonstration with dSPACE that validates “ML-safe” video compression for autonomous vehicle data inside the dSPACE RTMaps ecosystem. Testing on real-world sequences showed Beamr’s Content-Adaptive Bitrate (CABR) compression delivered 31% file size reduction versus baseline encodes and 97% reduction versus uncompressed data while preserving machine learning model accuracy.
The companies plan to extend ML-safe compression testing to additional stages such as video data simulation and hardware-in-the-loop testing. Beamr positions this capability as helping AV teams reduce data volumes and infrastructure demands without rebuilding existing RTMaps-based workflows.