<p>德克萨斯州休斯顿 --（Newsfile Corp. -2026 年 5 月 21 日）- MultiSensor AI Holdings, Inc.（纳斯达克：MSAI）（&#34;MSAI&#34;、&#34;MultiSensor AI&#34;或&#34;公司&#34;）今天宣布，将在 2026 年供应链峰会（SupplyChainPoint 2026）上展示持续状态智能如何转变分销和履行操作，会议将于 5 月 31 日至 6 月 3 日在德克萨斯州伍德兰举行。公司将呈现&#34; <em>分销中的可见性差距：持续状态智能如何保护生产力、安全和运营支出</em>&#34; - 一场高管级别的探讨，探讨早期退化检测如何将操作紧急情况转变为计划干预。</p>
<p>现代分销中心依赖于以空前速度运行的输送和分拣系统。然而，大多数设施仍然依赖于定期的预防性维护和人工检查路线，这些方法无法捕捉到检查之间逐渐出现的微妙退化。当故障发生时，操作会失去吞吐量，错过合同履行义务，产生紧急维修费用，并使团队面临不必要的安全风险。</p>
<p>在本次演讲中，销售高级总监 Steve Cunningham 和产品赋能高级总监 James Newman 将分析三个真实客户案例，展示 MultiSensor AI 解决方案如何帮助分销领导者更早地检测退化，保护生产力，减少安全风险，并优化维护支出。该会议强调了从反应性紧急维修转向预测性、计划性干预的操作和财务影响。</p>
<p>关键主题包括：</p>
<ul>
<li>传统监测方法错过关键的早期警告信号。定期检查和阈值警报仅捕捉到一个时刻，造成高速操作中的盲点。</li>
<li>生产力依赖于及时的威胁检测。未被发现的设备退化可能会停止整个生产线，立即影响吞吐量和人工成本。</li>
<li>当持续可见性取代人工地面检查时，安全性得以改善。团队可以远程检测危险的电气或机械条件，减少人身暴露。</li>
<li>维护成为一个顶线杠杆，而不是成本中心。可预测的、计划的干预直接支持吞吐量、劳动生产力、合规性和成本优化。</li>
</ul>
<p><strong>关于 MultiSensor AI</strong></p>
<p>MultiSensor AI 是一个多传感器状态智能解决方案，适用于高吞吐量和高度自动化的工业操作。通过将热、振动、环境和视觉传感器数据统一到一个平台 MSAI Connect 上，MultiSensor AI 使可靠性团队能够主动保护正常运行时间，降低维护成本，提高安全性，并延长其最关键资产的使用寿命。有关更多信息，请访问 www.multisensorai.com。</p>
<p><strong>前瞻性声明</strong></p>
<p>本新闻稿包含根据 1933 年证券法第 27A 条、1934 年证券交易法第 21E 条以及 1995 年美国私人证券诉讼改革法的安全港条款的&#34;前瞻性声明&#34;。在某些情况下，前瞻性声明可以通过诸如&#34;预期&#34;、&#34;相信&#34;、&#34;可能&#34;、&#34;估计&#34;、&#34;期望&#34;、&#34;打算&#34;、&#34;计划&#34;、&#34;将&#34;、&#34;会&#34;或这些词的否定或变体，或类似表达来识别。所有在本新闻稿中包含的与历史事实无关的声明应视为前瞻性声明，包括但不限于关于管理层对其战略优先事项和目标、平台性能、未来计划和商业前景的预期的声明。这些前瞻性声明受到风险、不确定性和假设的影响，其中一些超出了我们的控制范围。此外，这些前瞻性声明反映了我们对未来事件的当前看法，并不保证未来的表现。实际结果可能因多种因素而与前瞻性声明中包含的信息有实质性差异，包括在公司截至 2025 年 12 月 31 日的年度报告的风险因素部分中识别的因素，这些因素可能会不时更新在公司向 SEC 提交的其他文件中。由于前瞻性声明本质上受到风险和不确定性的影响，因此您不应将这些前瞻性声明视为未来事件的预测。本文中所做的任何前瞻性声明仅基于当前可用的信息，并仅在声明之日有效。除非适用法律要求，否则公司明确拒绝任何公开更新任何前瞻性声明的义务，无论是书面还是口头，可能会不时做出，无论是由于新信息、未来发展还是其他原因。</p>
<p>来源：MultiSensor AI Holdings, Inc.</p>
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<p>要查看本新闻稿的源版本，请访问 https://www.newsfilecorp.com/release/298298</p>
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MSAI

<p>MultiSensor AI Holdings, Inc.（纳斯达克代码：MSAI）将在 2026 年供应链峰会上介绍持续状态智能如何提升分销运营。演讲将涵盖早期退化检测的重要性，以提高生产力、安全性和维护成本。主要主题包括传统监测方法的局限性和预测性维护的好处。会议将展示案例研究，证明从被动干预转向计划干预的运营和财务优势</p>

<p>Houston, Texas--(Newsfile Corp. - May 21, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) (&#34;MSAI&#34;, &#34;MultiSensor AI&#34; or the &#34;Company&#34;) today announced it will showcase how continuous condition intelligence transforms distribution and fulfillment operations at SupplyChainPoint 2026, May 31 - June 3 in The Woodlands, Texas. The Company will present &#34; <em>The Visibility Gap in Distribution: How Continuous Condition Intelligence Protects Productivity, Safety, and OpEx</em>&#34; - an executive-level exploration of how early degradation detection converts operational emergencies into planned interventions.</p>
<div class="lb-trans"><p>德克萨斯州休斯顿 --（Newsfile Corp. -2026 年 5 月 21 日）- MultiSensor AI Holdings, Inc.（纳斯达克：MSAI）（&#34;MSAI&#34;、&#34;MultiSensor AI&#34;或&#34;公司&#34;）今天宣布，将在 2026 年供应链峰会（SupplyChainPoint 2026）上展示持续状态智能如何转变分销和履行操作，会议将于 5 月 31 日至 6 月 3 日在德克萨斯州伍德兰举行。公司将呈现&#34; <em>分销中的可见性差距：持续状态智能如何保护生产力、安全和运营支出</em>&#34; - 一场高管级别的探讨，探讨早期退化检测如何将操作紧急情况转变为计划干预。</p>
</div><p>Modern distribution centers rely on conveyance and sortation systems running at unprecedented speeds. Yet most facilities still depend on scheduled preventive maintenance and manual inspection routes - approaches that miss the subtle degradation that develops between inspections. When failures occur, operations lose throughput, miss contractual performance obligations, incur emergency repair costs, and expose teams to unnecessary safety risk.</p>
<div class="lb-trans"><p>现代分销中心依赖于以空前速度运行的输送和分拣系统。然而，大多数设施仍然依赖于定期的预防性维护和人工检查路线，这些方法无法捕捉到检查之间逐渐出现的微妙退化。当故障发生时，操作会失去吞吐量，错过合同履行义务，产生紧急维修费用，并使团队面临不必要的安全风险。</p>
</div><p>In this presentation, Steve Cunningham, Senior Director of Sales, and James Newman, Senior Director of Product Enablement, will analyze three real-world customer case studies demonstrating how the MultiSensor AI solution helps distribution leaders detect degradation earlier, protect productivity, reduce safety exposure, and optimize maintenance spending. The session emphasizes the operational and financial impact of shifting from reactive emergency repairs to predictive, planned interventions.</p>
<div class="lb-trans"><p>在本次演讲中，销售高级总监 Steve Cunningham 和产品赋能高级总监 James Newman 将分析三个真实客户案例，展示 MultiSensor AI 解决方案如何帮助分销领导者更早地检测退化，保护生产力，减少安全风险，并优化维护支出。该会议强调了从反应性紧急维修转向预测性、计划性干预的操作和财务影响。</p>
</div><p>Key themes include:</p>
<div class="lb-trans"><p>关键主题包括：</p>
</div><ul>
<li>Traditional monitoring methods miss critical early warning signs. Periodic inspections and threshold alarms only capture a moment in time, creating blind spots in high-speed operations.</li>
<li>Productivity depends on timely threat detection. Equipment degradation that goes undetected can halt an entire line, immediately impacting throughput and labor costs.</li>
<li>Safety improves when continuous visibility replaces manual floor inspections. Teams can detect dangerous electrical or mechanical conditions remotely, reducing human exposure.</li>
<li>Maintenance becomes a top-line lever, not a cost center. Predictable, planned interventions directly support throughput, labor productivity, compliance, and cost optimization.</li>
</ul>
<div class="lb-trans"><ul>
<li>传统监测方法错过关键的早期警告信号。定期检查和阈值警报仅捕捉到一个时刻，造成高速操作中的盲点。</li>
<li>生产力依赖于及时的威胁检测。未被发现的设备退化可能会停止整个生产线，立即影响吞吐量和人工成本。</li>
<li>当持续可见性取代人工地面检查时，安全性得以改善。团队可以远程检测危险的电气或机械条件，减少人身暴露。</li>
<li>维护成为一个顶线杠杆，而不是成本中心。可预测的、计划的干预直接支持吞吐量、劳动生产力、合规性和成本优化。</li>
</ul>
</div><p><strong>About MultiSensor AI</strong></p>
<div class="lb-trans"><p><strong>关于 MultiSensor AI</strong></p>
</div><p>MultiSensor AI is a multi-sensor condition intelligence solution for high-throughput and highly automated industrial operations. By unifying thermal, vibration, environmental, and visual sensor data onto a single platform, MSAI Connect, MultiSensor AI enables reliability teams to proactively protect uptime, reduce maintenance costs, enhance safety, and extend the useful life of their most critical assets. For more information, visit www.multisensorai.com.</p>
<div class="lb-trans"><p>MultiSensor AI 是一个多传感器状态智能解决方案，适用于高吞吐量和高度自动化的工业操作。通过将热、振动、环境和视觉传感器数据统一到一个平台 MSAI Connect 上，MultiSensor AI 使可靠性团队能够主动保护正常运行时间，降低维护成本，提高安全性，并延长其最关键资产的使用寿命。有关更多信息，请访问 www.multisensorai.com。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性声明</strong></p>
</div><p>This press release contains &#34;forward-looking statements&#34; within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934, and the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. In some cases, forward-looking statements can be identified by words such as &#34;anticipate,&#34; &#34;believe,&#34; &#34;could,&#34; &#34;estimate,&#34; &#34;expect,&#34; &#34;intend,&#34; &#34;plan,&#34; &#34;will,&#34; &#34;would&#34; or their negatives or variations of these words, or similar expressions. All statements contained in this press release that do not strictly relate to matters of historical fact should be considered forward-looking statements, including, without limitation, statements regarding management's expectations regarding its strategic priorities and objectives, platform performance, future plans and business prospects. These forward-looking statements are subject to risks, uncertainties and assumptions, some of which are beyond our control. In addition, these forward-looking statements reflect our current views with respect to future events and are not a guarantee of future performance. Actual outcomes may differ materially from the information contained in the forward-looking statements as a result of a number of factors, including those identified in the Risk Factors section of the Company's Annual Report on Form 10-K for the year ended December 31, 2025, as such factors may be updated from time to time in the Company's other filings with the SEC. Because forward-looking statements are inherently subject to risks and uncertainties, you should not rely on these forward-looking statements as predictions of future events. Any forward-looking statement made in this press release is based only on information currently available and speaks only as of the date on which it is made. Except as required by applicable law, the Company expressly disclaims any obligation to publicly update any forward-looking statements, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise</p>
<div class="lb-trans"><p>本新闻稿包含根据 1933 年证券法第 27A 条、1934 年证券交易法第 21E 条以及 1995 年美国私人证券诉讼改革法的安全港条款的&#34;前瞻性声明&#34;。在某些情况下，前瞻性声明可以通过诸如&#34;预期&#34;、&#34;相信&#34;、&#34;可能&#34;、&#34;估计&#34;、&#34;期望&#34;、&#34;打算&#34;、&#34;计划&#34;、&#34;将&#34;、&#34;会&#34;或这些词的否定或变体，或类似表达来识别。所有在本新闻稿中包含的与历史事实无关的声明应视为前瞻性声明，包括但不限于关于管理层对其战略优先事项和目标、平台性能、未来计划和商业前景的预期的声明。这些前瞻性声明受到风险、不确定性和假设的影响，其中一些超出了我们的控制范围。此外，这些前瞻性声明反映了我们对未来事件的当前看法，并不保证未来的表现。实际结果可能因多种因素而与前瞻性声明中包含的信息有实质性差异，包括在公司截至 2025 年 12 月 31 日的年度报告的风险因素部分中识别的因素，这些因素可能会不时更新在公司向 SEC 提交的其他文件中。由于前瞻性声明本质上受到风险和不确定性的影响，因此您不应将这些前瞻性声明视为未来事件的预测。本文中所做的任何前瞻性声明仅基于当前可用的信息，并仅在声明之日有效。除非适用法律要求，否则公司明确拒绝任何公开更新任何前瞻性声明的义务，无论是书面还是口头，可能会不时做出，无论是由于新信息、未来发展还是其他原因。</p>
</div><p>Source: MultiSensor AI Holdings, Inc.</p>
<div class="lb-trans"><p>来源：MultiSensor AI Holdings, Inc.</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg" alt="" original-src="https://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg"/></p>
<p>To view the source version of this press release, please visit https://www.newsfilecorp.com/release/298298</p>
<div class="lb-trans"><p>要查看本新闻稿的源版本，请访问 https://www.newsfilecorp.com/release/298298</p>
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MultiSensor AI 将在 SupplyChainPoint 2026 大会上展示连续状态智能 | MSAI 股票新闻