{"success":true,"data":{"pressRelease":{"id":"53618","rtpr_id":"nNFC61nNPl","ticker":"MSAI","exchange":"NASDAQ","all_tickers":["MSAI"],"title":"MultiSensor AI Deepens Vibration Coverage in Condition Intelligence Solution through Collaboration with Broadsens","author":"Newsfile Corp","published_at":"2026-06-03T12:00:14.186Z","article_body":"Showcased at Maintec 2026, MSAI deepens vibration coverage in collaboration\nwith Broadsens, closing detection gaps on assets where single-sensor programs\nfall short\n\nHouston, Texas--(Newsfile Corp. - June 3, 2026) - MultiSensor AI Holdings,\nInc. (NASDAQ: MSAI) (\"MSAI\", \"MultiSensor AI\" or the \"Company\") today\nannounced expanded vibration coverage in its condition intelligence solution,\nMSAI Connect, through a new collaboration with Broadsens. MSAI believes\nindustrial operators and reliability teams who leverage multiple sensor\nmodalities can detect more failure modes and forms of degradation across asset\ntypes, identify likely causes faster, and act with greater confidence,\nultimately driving more efficient and resilient operations.\n\n\"Reliability teams in high-throughput operations don't need more dashboards -\nthey need a faster, clearer path from signal to action,\" said Asim Akram, CEO\nof MultiSensor AI. \"When thermal and vibration sit on the same asset in the\nsame workflow, teams can differentiate between mechanical and electrical\nfunctions faster and determine when to take action versus when to keep\nwatching. We're also extending coverage to assets where legacy vibration\nplatforms leave gaps, such as slow-rotating and intermittent-duty equipment,\nwithout adding another siloed tool.\"\n\nVibration extends MSAI Connect's existing thermal condition intelligence\nrather than introducing a separate program. Existing customers, who purchase\nand deploy our enhanced vibration solution, gain broader asset coverage inside\nthe workflow they already use. The platform is purpose-built for\nhigh-throughput, power-dense, highly automated industrial facilities, where we\nbelieve single-modality monitoring can make it harder to identify emerging\nfailure modes. By expanding coverage across more failure modes and critical\nassets in one platform, vibration detection through MSAI Connect helps close\nthe visibility gap that exposes these facilities to unexpected downtime and\nlost productivity.\n\nPowering the new vibration capability is a collaboration with Broadsens. We\nbelieve integrating Broadsens' field-proven, industrially certified hardware\ninto MSAI's unified platform will help reliability teams harness the power of\nbetter insights from multiple sensor types on priority assets without\ndeploying a separate vibration program or managing disconnected workflows.\n\nBroadsens' SVT-V wireless vibration sensors sample in true real time in less\nthan 1 second intervals when machines are running, sample every 10 seconds\nwhen machines are in very low vibration or idle, and enable always-listening\nedge detection([1]) that captures threshold-crossing events at the sensor when\nthey occur. This enables teams to catch fast-developing faults and mechanical\nevents that evolve in seconds, minutes to hours, including on\nintermittent-duty and slow-rotating assets that hourly-sampled systems\ntypically miss.\n\nMultiSensor AI at Maintec 2026\n\nMSAI will showcase MSAI Connect's expanded vibration capabilities at Maintec\n2026 from June 3(rd) to June 4(th) at the NEC Birmingham. Visitors to the MSAI\nbooth in Hall 5 can explore MSAI's full suite of sensing capabilities and\nspeak with the team.\n\nAdditionally, Luke Grice-Lowe, Director of Reliability & Maintenance Programs\nat MultiSensor AI, will join Pat Caron, Global Reliability Manager at Amazon,\non the Maintec stage for a fireside chat on how reliability programs are built\nand scaled inside one of the world's most demanding operational environments.\nThe session starts at 3:30 PM BST on Wednesday, June 3(rd).\n\nAbout MultiSensor AI\n\nMultiSensor AI is a multi-sensor condition intelligence solution for\nhigh-throughput and highly automated industrial operations. By unifying\nthermal, vibration, environmental, and visual sensor data into a single\nsolution, MultiSensor AI enables reliability teams to proactively protect\nuptime, reduce maintenance costs, enhance safety, and extend the useful life\nof their most critical assets. For more information, visit\nwww.multisensorai.com.\n\nForward-Looking Statements\n\nThis press release contains \"forward-looking statements\" within the meaning of\nSection 27A of the Securities Act of 1933, Section 21E of the Securities\nExchange Act of 1934, and the safe harbor provisions of the U.S. Private\nSecurities Litigation Reform Act of 1995. In some cases, forward-looking\nstatements can be identified by words such as \"anticipate,\" \"believe,\"\n\"could,\" \"estimate,\" \"expect,\" \"intend,\" \"plan,\" \"will,\" \"would\" or their\nnegatives or variations of these words, or similar expressions. All statements\ncontained in this press release that do not strictly relate to matters of\nhistorical fact should be considered forward-looking statements, including,\nwithout limitation, statements regarding management's expectations regarding\nits strategic priorities and objectives, platform performance, future plans\nand business prospects. These forward-looking statements are subject to risks,\nuncertainties and assumptions, some of which are beyond our control. In\naddition, these forward-looking statements reflect our current views with\nrespect to future events and are not a guarantee of future performance. Actual\noutcomes may differ materially from the information contained in the\nforward-looking statements as a result of a number of factors, including those\nidentified in the Risk Factors section of the Company's Annual Report on Form\n10-K for the year ended December 31, 2025, as such factors may be updated from\ntime to time in the Company's other filings with the SEC. Because\nforward-looking statements are inherently subject to risks and uncertainties,\nyou should not rely on these forward-looking statements as predictions of\nfuture events. Any forward-looking statement made in this press release is\nbased only on information currently available and speaks only as of the date\non which it is made. Except as required by applicable law, the Company\nexpressly disclaims any obligation to publicly update any forward-looking\nstatements, whether written or oral, that may be made from time to time,\nwhether as a result of new information, future developments or otherwise.\n\nMedia Contact\nAlecia O'Brien\nVP of Marketing, MultiSensor AI\nmarketingteam@multisensorai.com\n\nInvestor Relations Contact:\nir@multisensorai.com\n\nSource: MultiSensor AI Holdings, Inc.\n\n([1])Actual sample rates and event notification latency in customer\ndeployments may vary based on factors including, but not limited to, network\nbandwidth and routing, geographic distance between the deployment site and\ncloud region, sensor and edge device configuration, concurrent workload and\nviewer-side conditions.\n\n\nTo view the source version of this press release, please visit\nhttps://www.newsfilecorp.com/release/299852","article_body_html":"","raw_payload":{"data":{"id":"nNFC61nNPl","title":"MultiSensor AI Deepens Vibration Coverage in Condition Intelligence Solution through Collaboration with Broadsens","author":"Newsfile Corp","ticker":"MSAI","created":"2026-06-03T12:00:14.186Z","tickers":["MSAI"],"exchange":"NASDAQ","article_body":"Showcased at Maintec 2026, MSAI deepens vibration coverage in collaboration\nwith Broadsens, closing detection gaps on assets where single-sensor programs\nfall short\n\nHouston, Texas--(Newsfile Corp. - June 3, 2026) - MultiSensor AI Holdings,\nInc. (NASDAQ: MSAI) (\"MSAI\", \"MultiSensor AI\" or the \"Company\") today\nannounced expanded vibration coverage in its condition intelligence solution,\nMSAI Connect, through a new collaboration with Broadsens. MSAI believes\nindustrial operators and reliability teams who leverage multiple sensor\nmodalities can detect more failure modes and forms of degradation across asset\ntypes, identify likely causes faster, and act with greater confidence,\nultimately driving more efficient and resilient operations.\n\n\"Reliability teams in high-throughput operations don't need more dashboards -\nthey need a faster, clearer path from signal to action,\" said Asim Akram, CEO\nof MultiSensor AI. \"When thermal and vibration sit on the same asset in the\nsame workflow, teams can differentiate between mechanical and electrical\nfunctions faster and determine when to take action versus when to keep\nwatching. We're also extending coverage to assets where legacy vibration\nplatforms leave gaps, such as slow-rotating and intermittent-duty equipment,\nwithout adding another siloed tool.\"\n\nVibration extends MSAI Connect's existing thermal condition intelligence\nrather than introducing a separate program. Existing customers, who purchase\nand deploy our enhanced vibration solution, gain broader asset coverage inside\nthe workflow they already use. The platform is purpose-built for\nhigh-throughput, power-dense, highly automated industrial facilities, where we\nbelieve single-modality monitoring can make it harder to identify emerging\nfailure modes. By expanding coverage across more failure modes and critical\nassets in one platform, vibration detection through MSAI Connect helps close\nthe visibility gap that exposes these facilities to unexpected downtime and\nlost productivity.\n\nPowering the new vibration capability is a collaboration with Broadsens. We\nbelieve integrating Broadsens' field-proven, industrially certified hardware\ninto MSAI's unified platform will help reliability teams harness the power of\nbetter insights from multiple sensor types on priority assets without\ndeploying a separate vibration program or managing disconnected workflows.\n\nBroadsens' SVT-V wireless vibration sensors sample in true real time in less\nthan 1 second intervals when machines are running, sample every 10 seconds\nwhen machines are in very low vibration or idle, and enable always-listening\nedge detection([1]) that captures threshold-crossing events at the sensor when\nthey occur. This enables teams to catch fast-developing faults and mechanical\nevents that evolve in seconds, minutes to hours, including on\nintermittent-duty and slow-rotating assets that hourly-sampled systems\ntypically miss.\n\nMultiSensor AI at Maintec 2026\n\nMSAI will showcase MSAI Connect's expanded vibration capabilities at Maintec\n2026 from June 3(rd) to June 4(th) at the NEC Birmingham. Visitors to the MSAI\nbooth in Hall 5 can explore MSAI's full suite of sensing capabilities and\nspeak with the team.\n\nAdditionally, Luke Grice-Lowe, Director of Reliability & Maintenance Programs\nat MultiSensor AI, will join Pat Caron, Global Reliability Manager at Amazon,\non the Maintec stage for a fireside chat on how reliability programs are built\nand scaled inside one of the world's most demanding operational environments.\nThe session starts at 3:30 PM BST on Wednesday, June 3(rd).\n\nAbout MultiSensor AI\n\nMultiSensor AI is a multi-sensor condition intelligence solution for\nhigh-throughput and highly automated industrial operations. By unifying\nthermal, vibration, environmental, and visual sensor data into a single\nsolution, MultiSensor AI enables reliability teams to proactively protect\nuptime, reduce maintenance costs, enhance safety, and extend the useful life\nof their most critical assets. For more information, visit\nwww.multisensorai.com.\n\nForward-Looking Statements\n\nThis press release contains \"forward-looking statements\" within the meaning of\nSection 27A of the Securities Act of 1933, Section 21E of the Securities\nExchange Act of 1934, and the safe harbor provisions of the U.S. Private\nSecurities Litigation Reform Act of 1995. In some cases, forward-looking\nstatements can be identified by words such as \"anticipate,\" \"believe,\"\n\"could,\" \"estimate,\" \"expect,\" \"intend,\" \"plan,\" \"will,\" \"would\" or their\nnegatives or variations of these words, or similar expressions. All statements\ncontained in this press release that do not strictly relate to matters of\nhistorical fact should be considered forward-looking statements, including,\nwithout limitation, statements regarding management's expectations regarding\nits strategic priorities and objectives, platform performance, future plans\nand business prospects. These forward-looking statements are subject to risks,\nuncertainties and assumptions, some of which are beyond our control. In\naddition, these forward-looking statements reflect our current views with\nrespect to future events and are not a guarantee of future performance. Actual\noutcomes may differ materially from the information contained in the\nforward-looking statements as a result of a number of factors, including those\nidentified in the Risk Factors section of the Company's Annual Report on Form\n10-K for the year ended December 31, 2025, as such factors may be updated from\ntime to time in the Company's other filings with the SEC. Because\nforward-looking statements are inherently subject to risks and uncertainties,\nyou should not rely on these forward-looking statements as predictions of\nfuture events. Any forward-looking statement made in this press release is\nbased only on information currently available and speaks only as of the date\non which it is made. Except as required by applicable law, the Company\nexpressly disclaims any obligation to publicly update any forward-looking\nstatements, whether written or oral, that may be made from time to time,\nwhether as a result of new information, future developments or otherwise.\n\nMedia Contact\nAlecia O'Brien\nVP of Marketing, MultiSensor AI\nmarketingteam@multisensorai.com\n\nInvestor Relations Contact:\nir@multisensorai.com\n\nSource: MultiSensor AI Holdings, Inc.\n\n([1])Actual sample rates and event notification latency in customer\ndeployments may vary based on factors including, but not limited to, network\nbandwidth and routing, geographic distance between the deployment site and\ncloud region, sensor and edge device configuration, concurrent workload and\nviewer-side conditions.\n\n\nTo view the source version of this press release, please visit\nhttps://www.newsfilecorp.com/release/299852"},"type":"article","timestamp":"2026-06-03T12:00:14.28995926Z","server_sent_at_ms":1780488014289},"received_at":"2026-06-03T12:00:14.350Z","source_url":"https://www.newsfilecorp.com/release/299852"},"analysis":{"id":"43049","press_release_id":"53618","analysis_json":{"industry":{"label":"Software","sector":"Information Technology"},"redFlags":[],"eventType":"partnership","narrative":"MultiSensor AI announced a collaboration with Broadsens to integrate vibration sensing into its MSAI Connect platform, expanding beyond its existing thermal monitoring capabilities.\n\nThe integration leverages Broadsens' SVT-V wireless sensors, which sample in under one second when machines are running and every 10 seconds when idle, enabling detection of fast-developing faults on intermittent-duty assets.\n\nMSAI will showcase the expanded capabilities at Maintec 2026 in Birmingham, featuring a fireside chat with Pat Caron, Global Reliability Manager at Amazon, on scaling reliability programs.","sentiment":"bullish","agentHooks":{"shouldPost":true,"suggestedAngle":"MSAI expands sensor modalities with Broadsens partnership, targeting gaps in legacy vibration monitoring for high-throughput industrial assets."},"keyFigures":{"customDimensions":{"sample_rate_idle":"10 seconds","sample_rate_running":"<1 second"}},"quotedText":"Reliability teams in high-throughput operations don't need more dashboards - they need a faster, clearer path from signal to action","namedEntities":{"people":[{"name":"Asim Akram","role":"CEO"},{"name":"Luke Grice-Lowe","role":"Director of Reliability & Maintenance Programs"},{"name":"Pat Caron","role":"Global Reliability Manager at Amazon"},{"name":"Alecia O'Brien","role":"VP of Marketing"}],"products":["MSAI Connect","SVT-V wireless vibration sensors"],"companies":[{"name":"MultiSensor AI Holdings, Inc.","ticker":"MSAI"},{"name":"Broadsens","relationship":"partner"},{"name":"Amazon","relationship":"customer/reference"}],"dollarAmounts":[]},"materialImpact":{"score":2,"reasoning":"Strategic partnership with Broadsens to integrate vibration sensing into MSAI Connect. 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