OMER, Israel, Jan. 28, 2026 (GLOBE NEWSWIRE) -- Odysight.ai Inc. (NASDAQ: ODYS), a developer of AI-based monitoring and Predictive Maintenance solutions, announced today that it has received two pilot orders from a major defense customer for monitoring applications on aerial platforms. The first order relates to the integration and evaluation of a computer-vision-based monitoring system on an operational combat helicopter. The pilot program is intended to demonstrate system performance in an operational env ...

Core Viewpoint - Odysight.ai Inc. is set to present at the Sidoti Micro-Cap Conference on January 21, 2026, highlighting its leadership in AI-powered visual sensing and Predictive Maintenance technologies [1] Group 1: Company Overview - Odysight.ai, incorporated in Nevada, operates with European and Israeli subsidiaries, focusing on Predictive Maintenance (PdM) and Condition-Based Monitoring (CBM) markets [2] - The company utilizes an innovative AI platform that enhances critical systems in sectors such as Aviation & Aerospace, Transportation, and Industry [2] - Odysight.ai's technology has been implemented in projects with notable organizations including NASA and the U.S. Department of Defense, resulting in significant improvements in system reliability and maintenance efficiency [2] Group 2: Upcoming Events - The CEO Yehu Ofer and CFO Einav Brenner will present virtually at the Sidoti Micro-Cap Conference on January 21, 2026, at 1:00 p.m. ET [1] - Company management will be available for virtual one-on-one meetings on January 21 and 22, 2026, for interested investors [1]

Core Insights - Odysight.ai Inc. is positioned at the intersection of deep tech, aerospace, defense, and industrial AI, with significant advancements made in the past year due to rising global defense investments and accelerating AI adoption [1][3] Company Strategy and Achievements - The company has a clear strategy focused on enhancing its leadership in aerospace through AI-driven sensors, software, and data analytics, while also expanding into adjacent markets [3][4] - In February 2025, Odysight.ai successfully uplisted to NASDAQ, raising $23.7 million, which strengthened its balance sheet and provided resources for growth initiatives [6] - The company has secured over $14 million in signed contracts, indicating strong demand for its solutions and a robust backlog of business processes nearing contract finalization [6][19] Market Expansion - Odysight.ai is expanding its international presence, particularly in the U.S. and the European Union, by establishing local subsidiaries to enhance customer engagement [9] - The company is pursuing measured expansion into specialized trucks, armored personnel carriers, and industrial applications, driven by regulatory mandates for predictive maintenance [8][19] Technology and Product Development - The company’s technology has been validated through contracts with major defense organizations, including a $10 million contract for UAV systems and ongoing collaboration with NASA [12][14] - Odysight.ai's solutions are operational across various sectors, including military UAVs, railways, and elevator safety, showcasing the versatility and scalability of its technology [13][14] Industry Trends - The global increase in defense budgets and the aging of aviation fleets are driving demand for predictive maintenance solutions, positioning Odysight.ai favorably in the market [19] - The rise of autonomous vehicles necessitates sophisticated monitoring and analytics, aligning with the company's core competencies in AI-driven insights [19]

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]