Englewood, New Jersey, US, Jan. 05, 2026 (GLOBE NEWSWIRE) -- Odysight.ai Inc. (NASDAQ:ODYS), a leader in AI-powered visual sensing and Predictive Maintenance (PdM) technologies, today announced that it had posted a CEO letter to shareholders on the Company’s investor relations website at https://www.odysight.ai/. The CEO letter to shareholders is reproduced below. Dear Shareholders, As Odysight.ai continues to build its position at the intersection of deep tech, aerospace, defense, and industrial AI, the pa ...

Core Insights - Centralized remote monitoring is transforming power plant operations by allowing specialized teams to manage multiple facilities from a single location, addressing challenges such as aging infrastructure and workforce shortages [1][2][3] Group 1: Remote Operations Centers (ROCs) - ROCs enable 24/7 remote monitoring, diagnostics, and control of various power generation assets, including gas turbines, steam plants, and wind farms, through secure digital connectivity [1][2] - Siemens Energy's ROC utilizes advanced software platforms like Omnivise for real-time data analytics, predictive maintenance, and market dispatch optimization, enhancing operational efficiency and minimizing downtime [2][3] Group 2: Suitability for Remote Monitoring - Remote monitoring is effective for a wide range of power generation assets, particularly gas-fired power plants due to their advanced automation and digital control systems [2] - Renewable energy assets, including wind farms and solar installations, are also compatible with modern remote monitoring solutions, benefiting from increased operational efficiency and reduced reliance on on-site personnel [2] Group 3: Addressing Skill Shortages - The aging workforce and shortage of skilled engineers in the power industry make staffing challenging; remote monitoring centralizes expertise, ensuring continuous coverage and faster troubleshooting [2][3] - By leveraging specialized personnel in ROCs, operators can mitigate the impact of local skill gaps and maintain high standards of safety and performance across the power generation fleet [2][3] Group 4: Operational Performance and Cost Efficiency - Centralized teams in ROCs improve operational performance through better decision-making and rapid troubleshooting, while also reducing operational expenses by eliminating the need for duplicated skilled roles at each facility [3] - Advanced digital tools enable predictive maintenance and data-driven optimization, further enhancing cost efficiency and operational reliability [3] Group 5: Data Utilization and Predictive Maintenance - Siemens Energy's Omnivise platform aggregates operational data and employs AI and advanced analytics to provide actionable insights, supporting predictive maintenance and performance optimization [3] - Predictive maintenance allows for early detection of equipment issues, enabling timely interventions that prevent costly outages and extend the life of critical equipment [3] Group 6: Cybersecurity Measures - Remote access to critical infrastructure necessitates robust cybersecurity; Siemens Energy adheres to stringent cyber regulations and employs a defense-in-depth strategy to protect against threats [3] - Regular assessments and compliance with standards such as ISO 27001 ensure that customers' systems maintain high levels of cybersecurity while enabling essential connectivity for remote operations [3]

Core Insights - Odysight.ai Inc. has successfully completed a Proof of Concept (POC) project in the global mine truck segment with a major international automotive OEM, showcasing its AI-powered visual sensing and Predictive Maintenance (PdM) solutions [1][4] Group 1: Project Details - The POC involved the installation of Odysight.ai's solution on an 8x4 heavy-duty mine truck chassis, enabling continuous monitoring for structural and mechanical anomalies in harsh operational conditions [2] - The project was conducted over several months at an active mining site in South America, capturing and analyzing real-world visual data [2][3] Group 2: System Performance - The POC demonstrated high-accuracy, real-time detection of structural and mechanical anomalies, indicating the potential for predictive, data-driven maintenance workflows in heavy-industrial trucking fleets [3] - Such capabilities can help fleet operators reduce unplanned downtime, improve safety, and extend the lifecycle of critical assets [3] Group 3: Company Expansion and Strategy - The CEO of Odysight.ai highlighted that this achievement marks a significant step in the company's expansion into heavy-duty vehicle and industrial sectors, emphasizing the versatility and impact of its visual-AI maintenance technologies [4] - The POC strengthens Odysight.ai's presence in automotive and industrial segments, complementing its activities in aerospace and Industry 4.0 [4] Group 4: Company Overview - Odysight.ai, incorporated in Nevada with subsidiaries in Europe and Israel, is a pioneer in the Predictive Maintenance and Condition-Based Monitoring markets, utilizing advanced visual sensing and AI-driven insights [5] - The company's technology has been deployed in projects with notable organizations such as NASA and the U.S. Department of Defense, demonstrating measurable improvements in system reliability and maintenance efficiency [5]

Core Insights - Odysight.ai Inc. has received a purchase order for 200 Industrial Predictive Monitoring Systems, marking its entry into the commercial market for industrial sensing solutions [1][2][4] - The company’s technology has successfully transitioned from pilot testing to commercial rollout, indicating strong market potential and scalability [2][5] - The global market for predictive maintenance in industrial applications is projected to grow from approximately $87 billion in 2025 to about $126 billion by 2034, driven by advancements in smart cities and industrial infrastructure [2] Company Overview - Odysight.ai specializes in AI-powered visual sensing and Predictive Maintenance (PdM) solutions, with applications across various sectors including aviation, transportation, and energy [6] - The company has established a strong presence in the Industry 4.0 ecosystem, enhancing operational safety and efficiency through real-time monitoring and data-driven maintenance [3][5] - Odysight.ai has previously collaborated with notable organizations such as NASA and the U.S. Department of Defense, demonstrating its technology's reliability and effectiveness [6] Market Potential - The successful order signifies a positive outlook for broader market adoption of Odysight.ai's technology, with potential applications extending beyond elevator systems to various industrial sectors [4][5] - The company is well-positioned to capture a significant share of the expanding predictive maintenance market, with opportunities for both initial deployments and ongoing service agreements [4][5]

Core Viewpoint - Acorn Energy, Inc. reported mixed financial results for Q3 and the first nine months of 2025, with significant growth in monitoring revenue but a decline in hardware revenue, leading to an overall decrease in total revenue for Q3 while maintaining a positive trend for the nine-month period [1][3][13]. Financial Performance - Monitoring revenue increased by 37.1% to $1,560,000 in Q3'25 compared to Q3'24, and by 23.9% to $4,149,000 for the nine months ended September 30, 2025 [3][6][13]. - Hardware revenue decreased by 52.0% to $918,000 in Q3'25, attributed to the completion of a major contract and a lack of new hardware sales [3][4][13]. - Total revenue for Q3'25 was $2,478,000, down 18.8% from $3,050,000 in Q3'24, while total revenue for the first nine months of 2025 rose by 22.0% to $9,101,000 compared to $7,457,000 in the same period of 2024 [3][13]. - Gross margin improved to 78.5% in Q3'25 from 71.7% in Q3'24, reflecting a higher proportion of monitoring revenue [3][7][14]. Income and Expenses - Net income attributable to stockholders for Q3'25 was $252,000, or $0.10 per diluted share, down 65.2% from $725,000, or $0.29 per diluted share in Q3'24 [3][16]. - For the first nine months of 2025, net income increased by 35.3% to $1,436,000, or $0.57 per share, compared to $1,061,000, or $0.42 per share in the prior year [3][16]. - Operating expenses rose by 24.8% to $1,786,000 in Q3'25, primarily due to increased selling, general and administrative expenses [3][15]. Strategic Initiatives - The company completed its uplisting to the Nasdaq Capital Market in Q3'25, which is expected to enhance liquidity and visibility among investors [3][8]. - Acorn is pursuing strategic relationships with OEMs and evaluating acquisition opportunities that align with its business model [3][10][12]. - The company is investing in new product development, including next-generation monitoring solutions, to maintain its technology leadership [3][11]. Cash Flow and Liquidity - Acorn's cash position increased to $4,167,000 at the end of Q3'25, up from $2,326,000 at the end of 2024 [3][18]. - The company generated $1,795,000 of net cash from operating activities in the first nine months of 2025, more than doubling the increase from the same period in 2024 [3][20].

Group 1 - Teledyne Technologies Inc is a key player in the technology sector, operating in segments such as digital imaging, instrumentation, aerospace, and defense electronics [1][6] - The company has recently acquired TransponderTech from Saab AB to enhance its maritime technology solutions, integrating it with existing brands like Raymarine and FLIR Marine [3][6] - Teledyne's stock is currently priced at $514.32, reflecting a slight increase of $3.12 or 0.61% [2][6] Group 2 - Analysts have given Teledyne a consensus rating of "Moderate Buy," with six out of eight brokerages recommending buying the stock and an average twelve-month target price of approximately $606 [4][6] - UBS Group has raised their price target for Teledyne to $630, while Barclays has lowered theirs to $584, indicating varied analyst perspectives [4] - The partnership with MTU Maintenance enhances Teledyne's position in the aerospace sector by leveraging data for improved engine health monitoring and predictive maintenance services [5][6]

AI技术发展历程与应用 - AI技术的发展受益于早期粒子物理研究中的大数据处理、模式识别和统计分析方法 [5][6] - 工业界通过整合云、大数据、数据科学和AI等技术，结合领域知识，实现可视化、优化和自动化决策支持，从而提高效率和降低成本 [14] - AI技术正被应用于工业互联网平台，实现实时分析和监控，以及各种工业系统的预测性维护 [16] AI在不同领域的应用 - AI技术被应用于反恐大数据系统，利用生物识别技术检测潜在威胁 [11] - AI技术被应用于能源领域，开发智能家居系统，并扩展到移动应用 [16] - AI技术被应用于医疗健康领域，与医生合作，通过X光图像和3D扫描实现自动化诊断和治疗建议 [17] - AI技术被应用于航空领域，开发了ADSB系统的预测性维护，以防止类似纽约机场雷达系统故障的事件发生 [17] 企业级AI平台与发展 - 企业正在构建企业级大数据平台，并向云端迁移，同时关注数据治理和灵活性 [17] - 企业正在开发智能自动化，涉及GNAI、AI代理和RPA，以实现企业自治 [17] - 企业正在构建GPU云基础设施，并与领域专家合作，开发垂直领域的AI应用 [17] 早期科研对AI的贡献 - 早期在费米实验室进行的顶夸克发现，涉及七万亿次质子反质子碰撞中的七个候选事件，展示了在小统计事件中进行发现的挑战性 [7] - 费米实验室在1990年代初拥有了首个PB级别的大数据环境，并推动了万维网的发明，以促进数据共享和协作 [5] - 早期研究推动了高性能分布式计算的发展，并率先应用了物联网、大数据和AI等技术 [8]

Core Insights - The US packaging machinery market reached $11.3 billion in sales in 2024, with a projected growth rate of 2.2% for 2025, while the Canadian market reached $1.2 billion in 2024, anticipating a 0.8% growth rate in 2025 [1][6] Market Trends - Packaging machinery manufacturers are focusing on compact equipment that integrates into existing plant spaces, handles delicate materials, and is user-friendly [2] - Challenges such as labor shortages, AI integration, sustainability, and fluctuating US government policies are influencing the industry's trajectory [2][5] Workforce Dynamics - Original equipment manufacturers (OEMs) and end users are facing ongoing hiring and retention difficulties [3] - AI, automated systems, and data analytics are being adopted to enhance efficiency amidst labor challenges, with a growing emphasis on practical applications for problem-solving [3] Maintenance Practices - Predictive maintenance has seen slow uptake due to cost concerns and reluctance to shift from established preventative maintenance routines, although some OEMs report improved efficiency through predictive systems [4] Sustainability and Strategic Planning - Sustainability is a critical factor for end users aiming to improve profitability, with a noticeable shift towards balancing environmental objectives with cost and operational constraints [5] - Tariffs and changing US policies contribute to market uncertainty, complicating strategic planning for companies [5]

Financial Data and Key Metrics Changes - The company reported adjusted EBITDA of $82.7 million and adjusted net income attributable to owners of the company of $48.1 million, or $0.46 per share [15] - Liquidity position remains solid at $113 million, including $68.3 million in cash and cash equivalents [15] - The net debt to EBITDA ratio improved from 2.4 times to 2.1 times due to stronger EBITDA and debt repayments [15] Business Line Data and Key Metrics Changes - At Carriba, copper production increased by 25% compared to Q1, with a 50% reduction in unplanned infrastructure downtime [10][11] - Javancina saw a 17% increase in gold production versus Q1, with expectations for further improvements in the second half of the year [12] - Commercial production was announced at Tucumar, contributing to record consolidated copper production [8] Market Data and Key Metrics Changes - The company expects higher production levels in the second half of the year, which will aid in deleveraging efforts [15] - The foreign exchange hedge program had a total notional position of $240 million, with a modest realized gain of $200,000 during the quarter [16] Company Strategy and Development Direction - The company is focused on operational excellence, with significant groundwork laid for sustainable growth in production [6][7] - The strategy includes optimizing mining methods, enhancing cost control, and advancing long-term growth initiatives at Furnas [13] - The company aims to initiate returns to shareholders as part of its strategy moving forward [18] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in achieving improved operational performance in the second half of the year, with expectations for continued growth in 2026 [9][10] - The focus is on achieving consistent production rates and addressing any remaining operational bottlenecks [22][36] - Management acknowledged the challenges faced in the first half of the year but emphasized the importance of the changes made for future stability [71][72] Other Important Information - The company completed its Phase one drill program at Furnas and is on track for the Phase two program [13] - The company is committed to delivering on its strategy and improving existing operations while preparing for future growth [18] Q&A Session Summary Question: Update on Tucumar's production capacity and guidance assumptions - Management confirmed that production levels have improved and are now operating at higher rates, with expectations to achieve around 80% of design capacity by year-end [20][23] Question: Cash costs at Carriba and guidance for the full year - Management indicated that while cash costs may trend higher due to lower grades in the second half, they expect to remain in the lower half of the guidance range [27][29] Question: Update on mechanized mining at Javancina and grade reconciliation - Initial results from mechanized mining have shown less dilution than manual mining, with grades expected to align with overall expectations for the year [30][31] Question: Remaining bottlenecks at Tucumar and July throughput - Management stated that the focus is now on preventative maintenance to ensure consistent operational performance, with no specific throughput numbers for July provided [34][36] Question: Update on shaft sinking at Pilar - The shaft project is progressing well, with expectations to be operational in 2027 [40] Question: Contribution from the sorghum pit and mining tonnage outperformance - Management highlighted that operational excellence initiatives have contributed to outperformance in mining tonnage, with Serbeam being an important contributor to production [44][46] Question: Timeline for starting cash returns to shareholders - Management indicated that the focus remains on deleveraging the balance sheet before considering shareholder returns [78]

Core Viewpoint - Baker Hughes is positioning itself to benefit from the increasing interconnection between energy infrastructure, digital automation, and defense spending, particularly in areas like unmanned systems and energy resilience [1][5]. Group 1: Company Overview - Baker Hughes is primarily known for providing energy and oilfield services, making its earnings sensitive to oil and natural gas prices [2]. - The company is transforming into a technology-driven industrial player, focusing on digital infrastructure, industrial AI, and process optimization [3][9]. Group 2: Financial Performance - Baker Hughes reported revenue of $6.8 billion, with a 130-basis-point increase in operating margin, indicating strong financial performance [8]. - The Industrial & Energy Technology (IET) segment generated $2.8 billion in revenue, growing 13% year over year, driven by demand for electrification and automation tools [13]. Group 3: Market Position and Strategy - The U.S. defense budget for fiscal 2025 is projected to exceed $900 billion, with significant allocations towards unmanned systems and energy resilience, creating potential opportunities for Baker Hughes [4][5]. - Baker Hughes is pivoting towards technologies that support electrification and energy efficiency, which aligns with the U.S. Department of Defense's increasing focus on tech-forward industrial partners [10]. Group 4: Stock Performance and Valuation - Baker Hughes stock has seen a year-to-date increase of approximately 6.8%, with a notable jump of over 9.5% following its second-quarter earnings report [6]. - The stock is currently trading at a forward P/E ratio of 16.8x, which is reasonable relative to the sector average, and the company has approved a $3 billion share repurchase authorization [16].