MSAI

Morar brings 17+ years of experience across AI, IoT, and connected systems, including leadership of a global engineering organization at TK Elevator Houston, Texas--(Newsfile Corp. - October 6, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today announced the appointment of Monil Morar to Vice President of Engineering and AI Platform. In this role, Morar will report directly to the CEO and lead the Company's engineering organization, AI platform strategy, architecture, and technology roadmap as MSAI advances its intelligence platform.

New capability helps reliability teams distinguish sun-reflection events from potential electrical and mechanical faults Houston, Texas--(Newsfile Corp. - September 24, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today launched Solar Reflection Analysis. The new capability within MSAI's Solar Performance Monitoring helps reliability and maintenance teams at solar-equipped warehouses, distribution facilities, courier networks, data centers and other multi-site environments distinguish thermal alerts likely caused by sun reflection from events that may indicate an electrical or mechanical fault requiring investigation.

Nearly half say it has happened more than once, and only 10% of practitioners continuously monitor the assets that could halt operations Houston, Texas--(Newsfile Corp. - September 16, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today released The Uptime Economy: 2026 Report, which is based on a survey of 152 reliability and maintenance practitioners and VP-level operations leaders in ecommerce distribution and logistics conducted by Censuswide. The research found that 91% of all respondents have approved, implemented or integrated a new automation investment knowing their team or facility wasn't fully prepared or equipped to maintain it.

Houston, Texas--(Newsfile Corp. - August 13, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) (the "Company", "MultiSensor AI" or "MSAI") today announced financial results for the second quarter ended June 30, 2026. Asim Akram, Chief Executive Officer, said, "Industrial customers are moving from reactive maintenance to data-driven operations.

Houston, Texas--(Newsfile Corp. - August 6, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI" or the "Company") plans to report financial results for the second quarter of 2026 on Thursday, August 13, 2026, after the U.S. stock market closes. About MultiSensor AI MultiSensor AI is a multi-sensor condition intelligence solution for high-throughput and highly automated industrial operations.

Three-part series, plus a free online self-assessment, gives reliability maintenance and operations leaders a framework for measuring detection latency and prioritizing where continuous monitoring provides the most value. Houston, Texas--(Newsfile Corp. - August 5, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today announced the release of its Reliability Maturity Research Series: a three-part set of resources built to help reliability, maintenance, and operations leaders assess and close the gap between when equipment failures start and when they are actually detected.

Newman brings more than 25 years of industrial technology experience, with deep expertise in AI-driven SaaS product strategy Houston, Texas--(Newsfile Corp. - July 7, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today announced the appointment of James Newman to Vice President of Strategy and Product. Newman brings more than 25 years of experience across industrial technology, engineering, and digital transformation, including deep expertise in product strategy, go-to-market execution, and portfolio management for industrial AI and SaaS technology platforms.

Showcased at Maintec 2026, MSAI deepens vibration coverage in collaboration with Broadsens, closing detection gaps on assets where single-sensor programs fall short Houston, Texas--(Newsfile Corp. - June 3, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MSAI", "MultiSensor AI" or the "Company") today announced expanded vibration coverage in its condition intelligence solution, MSAI Connect, through a new collaboration with Broadsens. MSAI believes industrial operators and reliability teams who leverage multiple sensor modalities can detect more failure modes and forms of degradation across asset types, identify likely causes faster, and act with greater confidence, ultimately driving more efficient and resilient operations.

Houston, Texas--(Newsfile Corp. - May 21, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MSAI", "MultiSensor AI" or the "Company") 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 "The Visibility Gap in Distribution: How Continuous Condition Intelligence Protects Productivity, Safety, and OpEx" - an executive-level exploration of how early degradation detection converts operational emergencies into planned interventions.

San Francisco, California--(Newsfile Corp. - May 14, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MSAI", "MultiSensor AI" or the "Company") today announced that it will exhibit at The Reliability Conference 2026 (the "2026 TRC") May 19-20th at the South San Francisco Conference Center, where it will demonstrate MSAI Connect running multiple simultaneous thermal camera feeds on a single unified dashboard with sub-2-second1 refresh - a latency threshold we believe the condition monitoring industry has not previously achieved at multi-feed scale. While single-feed thermal monitoring at speed is a resolved problem in the industry, each additional camera feed added to a unified view compounds processing load.